The document describes The Matrix Mapper, a tool intended to provide an alternative to Analyst's Notebook. It would consume structured and unstructured data from various sources related to suspects. The Matrix Mapper provides a graphical representation of links and relationships between entities, places, and events. It is capable of identifying patterns in suspect data to provide predictive insights and actionable results to counter terrorist activities. Key capabilities include collating data streams, identifying links to past terrorist events, mapping financial and communication details to trace locations, and targeting other terrorists in the identified network.
Vehicular Networks (VNs) seek to provide, among other applications, safer driving conditions. Vehicles need to periodically broadcast safety messages providing precise position information to nearby vehicles. Recent advances in development of Wireless Communication in Vehicular Adhoc Network (VANET) has provided emerging platform for industrialists and researchers. Vehicular adhoc networks are multi-hop networks with no fixed infrastructure. As a result, the driver’s privacy is at stake. In order to mitigate this threat, while complying with the safety requirements of VNs, the creation of mix-zones security at appropriate places of the VN to prevent the attacks Vehicle. Propose to do so with the use of cryptography algorithm AES with zone based routing protocol, analytically how the combination of mix-zones into mix-networks brings forth location privacy in vehicle node. Finally, show by simulations that the proposed zone based security is effective in various scenarios.
Vehicular Networks (VNs) seek to provide, among other applications, safer driving conditions. Vehicles need to periodically broadcast safety messages providing precise position information to nearby vehicles. Recent advances in development of Wireless Communication in Vehicular Adhoc Network (VANET) has provided emerging platform for industrialists and researchers. Vehicular adhoc networks are multi-hop networks with no fixed infrastructure. As a result, the driver’s privacy is at stake. In order to mitigate this threat, while complying with the safety requirements of VNs, the creation of mix-zones security at appropriate places of the VN to prevent the attacks Vehicle. Propose to do so with the use of cryptography algorithm AES with zone based routing protocol, analytically how the combination of mix-zones into mix-networks brings forth location privacy in vehicle node. Finally, show by simulations that the proposed zone based security is effective in various scenarios.
CREATING DATA OUTPUTS FROM MULTI AGENT TRAFFIC MICRO SIMULATION TO ASSIMILATI...csandit
The intensive development of traffic engineering and technologies that are integrated into
vehicles, roads and their surroundings, bring opportunities of real time transport mobility
modeling. Based on such model it is then possible to establish a predictive layer that is capable
of predicting short and long term traffic flow behavior. It is possible to create the real time
model of traffic mobility based on generated data. However, data may have different
geographical, temporal or other constraints, or failures. It is therefore appropriate to develop
tools that artificially create missing data, which can then be assimilated with real data. This
paper presents a mechanism describing strategies of generating artificial data using
microsimulations. It describes traffic microsimulation based on our solution of multiagent
framework over which a system for generating traffic data is built. The system generates data of
a structure corresponding to the data acquired in the real world.
CREATING DATA OUTPUTS FROM MULTI AGENT TRAFFIC MICRO SIMULATION TO ASSIMILATI...cscpconf
The intensive development of traffic engineering and technologies that are integrated into vehicles, roads and their surroundings, bring opportunities of real time transport mobility modeling. Based on such model it is then possible to establish a predictive layer that is capable of predicting short and long term traffic flow behavior. It is possible to create the real time model of traffic mobility based on generated data. However, data may have different geographical, temporal or other constraints, or failures. It is therefore appropriate to develop tools that artificially create missing data, which can then be assimilated with real data. This paper presents a mechanism describing strategies of generating artificial data using microsimulations. It describes traffic microsimulation based on our solution of multiagent framework over which a system for generating traffic data is built. The system generates data of a structure corresponding to the data acquired in the real world.
TraffiCop is India’s first Hi-Tech m-Governance project to inculcate ‘Traffic Culture’.
Solution is development by Omni-Bridge Systems Pvt. Ltd.(www.omni-bridge.com).
Neural Network Based Parking via Google Map GuidanceIJERA Editor
Intelligent transportation systems (ITS) focus to generate and spread creative services related to different transport modes for traffic management and hence enables the passenger informed about the traffic and to use the transport networks in a better way. Intelligent Trip Modeling System (ITMS) uses machine learning to forecast the traveling speed profile for a selected route based on the traffic information available at the trip starting time. The intelligent Parking Information Guidance System provides an eminent Neural Network based intelligence system which provides automatic allocate ion of parking's through the Global Information system across the path of the users travel. In this project using efficient lookup table searches and a Lagrange-multiplier bisection search, Computational Optimized Allocation Algorithm converges faster to the optimal solution than existing techniques. The purpose of this project is to simulate and implement a real parking environment that allocates vacant parking slots using Allocation algorithm.
Enhanced Conditional Privacy Preservation In VANETsIJERDJOURNAL
Abstract:- The Vehicle drivers (users) do not want their personal information such as vehicle names, license plate, speed, positions, moving routes, and user information to be revealed, in order to protect them against any illegal tracing or user profiling. Thus, this information must be protected from any kind of misuse or attacks. For this the obscurity of vehicular nodes should be supported to preserve privacy of vehicles and their users. Also, we should be able to investigate for accidents or liabilities from non-repudiation. Hence, we present an enhanced conditional privacy preservation scheme for vehicular ad-hoc networks (VANETs). This scheme includes an ID-based cryptosystem to assure user's obscurity using pseudonyms; however the model provides a backdoor for authorities to track misbehaving and suspicious users
Graham, Stephen. "Cities as battlespace: the new military urbanism." City 13....Stephen Graham
Graham, Stephen. "Cities as battlespace: the new military urbanism." City 13.4 (2009): 383-402.
The latest in an ongoing series of papers on the links between militarism and urbanism published in City, this paper opens with an exploration of the emerging crossovers between the ‘targeting’ of everyday life in so-called ‘smart’ border and ‘homeland security’ programmes and related efforts to delegate the sovereign power to deploy lethal force to increasingly robotized and automated war machines. Arguing that both cases represent examples of a new military urbanism, the rest of the paper develops a thesis outlining the scope and power of contemporary interpenetrations between urbanism and militarism. The new military urbanism is defined as encompassing a complex set of rapidly evolving ideas, doctrines, practices, norms, techniques and popular cultural arenas through which the everyday spaces, sites and infrastructures of cities—along with their civilian populations— are now rendered as the main targets and threats within a limitless ‘battlespace’. The new military urbanism, it is argued, rests on five related pillars; these are explored in turn. Included here are the normalization of militarized practices of tracking and targeting everyday urban circulations; the two-way movement of political, juridical and technologi- cal techniques between ‘homeland’ cities and cities on colonial frontiers; the rapid growth of sprawling, transnational industrial complexes fusing military and security companies with technology, surveillance and entertainment ones; the deployment of political violence against and through everyday urban infrastructure by both states and non-state fighters; and the increasingly seamless fusing of militarized veins of popular, urban and material culture. The paper finishes by discussing the new political imaginations demanded by the new military urbanism.
Vehicular ad hoc network is one of the most interesting research areas due to flexibility, low cost, high sensing fidelity, fault tolerance, creating many new and exciting application areas for remote sensing. So, it has emerged as a promising tool for monitoring the physical world with wireless sensor that can sense, process and communicate. Being ad-hoc in nature, VANET is a type of networks that is created from the concept of establishing a network of cars for a specific need or situation. VANETs have now been established as reliable networks that vehicles use for communication purpose on highways or urban environments. VANET considered as a distinct type of Mobile Ad Hoc Networks holds the opportunity to make peoples life and death decisions by predicting and helping the drivers and other people about the road safety and other critical conditions.
Techniques for predicting dark web events focused on the delivery of illicit ...IJECEIAES
Malicious actors, specially trained professionals operating anonymously on the dark web (DW) platform to conduct cyber fraud, illegal drug supply, online kidnapping orders, CryptoLocker induction, contract hacking, terrorist recruitment portals on the online social network (OSN) platform, and financing are always a possibility in the hyperspace. The amount and variety of unlawful actions are increasing, which has prompted law enforcement (LE) agencies to develop efficient prevention tactics. In the current atmosphere of rapidly expanding cybercrime, conventional crime-solving methods are unable to produce results due to their slowness and inefficiency. The methods for accurately predicting crime before it happens "automated machine" to help police officers ease the burden on personnel while also assisting in preventing offense. To achieve and explain the results of a few cases in which such approaches were applied, we advise combining machine learning (ML) with computer vision (CV) strategies. This study's objective is to present dark web crime statistics and a forecasting model for generating alerts of illegal operations like drug supply, people smuggling, terrorist staffing and radicalization, and deceitful activities that are connected to gangs or organizations showing online presence using ML and CV to help law enforcement organizations identify, and accumulate proactive tactics for solving crimes.
Mr. Paul Chang's presentation at QITCOM 2011QITCOM
QITCOM 2011
Presentation:
City Operations Centre for Managing City
Presenter:
Mr. Paul Chang - Business Development Executive for Emerging Markets, IBM
A summary of a talk at CPPA-2018 by Luc Tengueu: Urbanization, the emergence of Transportation Network Companies (TNCs) such as Uber and Lyft, and increased bicycle, pedestrian traffic are all putting pressure on city infrastructures. Because there is increasingly less real estate available for road expansion, the curb is quickly becoming a strategic asset for many entities such as cities, airports, hotels, public venues and universities.
USDA Loans in California: A Comprehensive Overview.pptxmarketing367770
USDA Loans in California: A Comprehensive Overview
If you're dreaming of owning a home in California's rural or suburban areas, a USDA loan might be the perfect solution. The U.S. Department of Agriculture (USDA) offers these loans to help low-to-moderate-income individuals and families achieve homeownership.
Key Features of USDA Loans:
Zero Down Payment: USDA loans require no down payment, making homeownership more accessible.
Competitive Interest Rates: These loans often come with lower interest rates compared to conventional loans.
Flexible Credit Requirements: USDA loans have more lenient credit score requirements, helping those with less-than-perfect credit.
Guaranteed Loan Program: The USDA guarantees a portion of the loan, reducing risk for lenders and expanding borrowing options.
Eligibility Criteria:
Location: The property must be located in a USDA-designated rural or suburban area. Many areas in California qualify.
Income Limits: Applicants must meet income guidelines, which vary by region and household size.
Primary Residence: The home must be used as the borrower's primary residence.
Application Process:
Find a USDA-Approved Lender: Not all lenders offer USDA loans, so it's essential to choose one approved by the USDA.
Pre-Qualification: Determine your eligibility and the amount you can borrow.
Property Search: Look for properties in eligible rural or suburban areas.
Loan Application: Submit your application, including financial and personal information.
Processing and Approval: The lender and USDA will review your application. If approved, you can proceed to closing.
USDA loans are an excellent option for those looking to buy a home in California's rural and suburban areas. With no down payment and flexible requirements, these loans make homeownership more attainable for many families. Explore your eligibility today and take the first step toward owning your dream home.
More Related Content
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CREATING DATA OUTPUTS FROM MULTI AGENT TRAFFIC MICRO SIMULATION TO ASSIMILATI...csandit
The intensive development of traffic engineering and technologies that are integrated into
vehicles, roads and their surroundings, bring opportunities of real time transport mobility
modeling. Based on such model it is then possible to establish a predictive layer that is capable
of predicting short and long term traffic flow behavior. It is possible to create the real time
model of traffic mobility based on generated data. However, data may have different
geographical, temporal or other constraints, or failures. It is therefore appropriate to develop
tools that artificially create missing data, which can then be assimilated with real data. This
paper presents a mechanism describing strategies of generating artificial data using
microsimulations. It describes traffic microsimulation based on our solution of multiagent
framework over which a system for generating traffic data is built. The system generates data of
a structure corresponding to the data acquired in the real world.
CREATING DATA OUTPUTS FROM MULTI AGENT TRAFFIC MICRO SIMULATION TO ASSIMILATI...cscpconf
The intensive development of traffic engineering and technologies that are integrated into vehicles, roads and their surroundings, bring opportunities of real time transport mobility modeling. Based on such model it is then possible to establish a predictive layer that is capable of predicting short and long term traffic flow behavior. It is possible to create the real time model of traffic mobility based on generated data. However, data may have different geographical, temporal or other constraints, or failures. It is therefore appropriate to develop tools that artificially create missing data, which can then be assimilated with real data. This paper presents a mechanism describing strategies of generating artificial data using microsimulations. It describes traffic microsimulation based on our solution of multiagent framework over which a system for generating traffic data is built. The system generates data of a structure corresponding to the data acquired in the real world.
TraffiCop is India’s first Hi-Tech m-Governance project to inculcate ‘Traffic Culture’.
Solution is development by Omni-Bridge Systems Pvt. Ltd.(www.omni-bridge.com).
Neural Network Based Parking via Google Map GuidanceIJERA Editor
Intelligent transportation systems (ITS) focus to generate and spread creative services related to different transport modes for traffic management and hence enables the passenger informed about the traffic and to use the transport networks in a better way. Intelligent Trip Modeling System (ITMS) uses machine learning to forecast the traveling speed profile for a selected route based on the traffic information available at the trip starting time. The intelligent Parking Information Guidance System provides an eminent Neural Network based intelligence system which provides automatic allocate ion of parking's through the Global Information system across the path of the users travel. In this project using efficient lookup table searches and a Lagrange-multiplier bisection search, Computational Optimized Allocation Algorithm converges faster to the optimal solution than existing techniques. The purpose of this project is to simulate and implement a real parking environment that allocates vacant parking slots using Allocation algorithm.
Enhanced Conditional Privacy Preservation In VANETsIJERDJOURNAL
Abstract:- The Vehicle drivers (users) do not want their personal information such as vehicle names, license plate, speed, positions, moving routes, and user information to be revealed, in order to protect them against any illegal tracing or user profiling. Thus, this information must be protected from any kind of misuse or attacks. For this the obscurity of vehicular nodes should be supported to preserve privacy of vehicles and their users. Also, we should be able to investigate for accidents or liabilities from non-repudiation. Hence, we present an enhanced conditional privacy preservation scheme for vehicular ad-hoc networks (VANETs). This scheme includes an ID-based cryptosystem to assure user's obscurity using pseudonyms; however the model provides a backdoor for authorities to track misbehaving and suspicious users
Graham, Stephen. "Cities as battlespace: the new military urbanism." City 13....Stephen Graham
Graham, Stephen. "Cities as battlespace: the new military urbanism." City 13.4 (2009): 383-402.
The latest in an ongoing series of papers on the links between militarism and urbanism published in City, this paper opens with an exploration of the emerging crossovers between the ‘targeting’ of everyday life in so-called ‘smart’ border and ‘homeland security’ programmes and related efforts to delegate the sovereign power to deploy lethal force to increasingly robotized and automated war machines. Arguing that both cases represent examples of a new military urbanism, the rest of the paper develops a thesis outlining the scope and power of contemporary interpenetrations between urbanism and militarism. The new military urbanism is defined as encompassing a complex set of rapidly evolving ideas, doctrines, practices, norms, techniques and popular cultural arenas through which the everyday spaces, sites and infrastructures of cities—along with their civilian populations— are now rendered as the main targets and threats within a limitless ‘battlespace’. The new military urbanism, it is argued, rests on five related pillars; these are explored in turn. Included here are the normalization of militarized practices of tracking and targeting everyday urban circulations; the two-way movement of political, juridical and technologi- cal techniques between ‘homeland’ cities and cities on colonial frontiers; the rapid growth of sprawling, transnational industrial complexes fusing military and security companies with technology, surveillance and entertainment ones; the deployment of political violence against and through everyday urban infrastructure by both states and non-state fighters; and the increasingly seamless fusing of militarized veins of popular, urban and material culture. The paper finishes by discussing the new political imaginations demanded by the new military urbanism.
Vehicular ad hoc network is one of the most interesting research areas due to flexibility, low cost, high sensing fidelity, fault tolerance, creating many new and exciting application areas for remote sensing. So, it has emerged as a promising tool for monitoring the physical world with wireless sensor that can sense, process and communicate. Being ad-hoc in nature, VANET is a type of networks that is created from the concept of establishing a network of cars for a specific need or situation. VANETs have now been established as reliable networks that vehicles use for communication purpose on highways or urban environments. VANET considered as a distinct type of Mobile Ad Hoc Networks holds the opportunity to make peoples life and death decisions by predicting and helping the drivers and other people about the road safety and other critical conditions.
Techniques for predicting dark web events focused on the delivery of illicit ...IJECEIAES
Malicious actors, specially trained professionals operating anonymously on the dark web (DW) platform to conduct cyber fraud, illegal drug supply, online kidnapping orders, CryptoLocker induction, contract hacking, terrorist recruitment portals on the online social network (OSN) platform, and financing are always a possibility in the hyperspace. The amount and variety of unlawful actions are increasing, which has prompted law enforcement (LE) agencies to develop efficient prevention tactics. In the current atmosphere of rapidly expanding cybercrime, conventional crime-solving methods are unable to produce results due to their slowness and inefficiency. The methods for accurately predicting crime before it happens "automated machine" to help police officers ease the burden on personnel while also assisting in preventing offense. To achieve and explain the results of a few cases in which such approaches were applied, we advise combining machine learning (ML) with computer vision (CV) strategies. This study's objective is to present dark web crime statistics and a forecasting model for generating alerts of illegal operations like drug supply, people smuggling, terrorist staffing and radicalization, and deceitful activities that are connected to gangs or organizations showing online presence using ML and CV to help law enforcement organizations identify, and accumulate proactive tactics for solving crimes.
Mr. Paul Chang's presentation at QITCOM 2011QITCOM
QITCOM 2011
Presentation:
City Operations Centre for Managing City
Presenter:
Mr. Paul Chang - Business Development Executive for Emerging Markets, IBM
A summary of a talk at CPPA-2018 by Luc Tengueu: Urbanization, the emergence of Transportation Network Companies (TNCs) such as Uber and Lyft, and increased bicycle, pedestrian traffic are all putting pressure on city infrastructures. Because there is increasingly less real estate available for road expansion, the curb is quickly becoming a strategic asset for many entities such as cities, airports, hotels, public venues and universities.
USDA Loans in California: A Comprehensive Overview.pptxmarketing367770
USDA Loans in California: A Comprehensive Overview
If you're dreaming of owning a home in California's rural or suburban areas, a USDA loan might be the perfect solution. The U.S. Department of Agriculture (USDA) offers these loans to help low-to-moderate-income individuals and families achieve homeownership.
Key Features of USDA Loans:
Zero Down Payment: USDA loans require no down payment, making homeownership more accessible.
Competitive Interest Rates: These loans often come with lower interest rates compared to conventional loans.
Flexible Credit Requirements: USDA loans have more lenient credit score requirements, helping those with less-than-perfect credit.
Guaranteed Loan Program: The USDA guarantees a portion of the loan, reducing risk for lenders and expanding borrowing options.
Eligibility Criteria:
Location: The property must be located in a USDA-designated rural or suburban area. Many areas in California qualify.
Income Limits: Applicants must meet income guidelines, which vary by region and household size.
Primary Residence: The home must be used as the borrower's primary residence.
Application Process:
Find a USDA-Approved Lender: Not all lenders offer USDA loans, so it's essential to choose one approved by the USDA.
Pre-Qualification: Determine your eligibility and the amount you can borrow.
Property Search: Look for properties in eligible rural or suburban areas.
Loan Application: Submit your application, including financial and personal information.
Processing and Approval: The lender and USDA will review your application. If approved, you can proceed to closing.
USDA loans are an excellent option for those looking to buy a home in California's rural and suburban areas. With no down payment and flexible requirements, these loans make homeownership more attainable for many families. Explore your eligibility today and take the first step toward owning your dream home.
how to sell pi coins effectively (from 50 - 100k pi)DOT TECH
Anywhere in the world, including Africa, America, and Europe, you can sell Pi Network Coins online and receive cash through online payment options.
Pi has not yet been launched on any exchange because we are currently using the confined Mainnet. The planned launch date for Pi is June 28, 2026.
Reselling to investors who want to hold until the mainnet launch in 2026 is currently the sole way to sell.
Consequently, right now. All you need to do is select the right pi network provider.
Who is a pi merchant?
An individual who buys coins from miners on the pi network and resells them to investors hoping to hang onto them until the mainnet is launched is known as a pi merchant.
debuts.
I'll provide you the Telegram username
@Pi_vendor_247
US Economic Outlook - Being Decided - M Capital Group August 2021.pdfpchutichetpong
The U.S. economy is continuing its impressive recovery from the COVID-19 pandemic and not slowing down despite re-occurring bumps. The U.S. savings rate reached its highest ever recorded level at 34% in April 2020 and Americans seem ready to spend. The sectors that had been hurt the most by the pandemic specifically reduced consumer spending, like retail, leisure, hospitality, and travel, are now experiencing massive growth in revenue and job openings.
Could this growth lead to a “Roaring Twenties”? As quickly as the U.S. economy contracted, experiencing a 9.1% drop in economic output relative to the business cycle in Q2 2020, the largest in recorded history, it has rebounded beyond expectations. This surprising growth seems to be fueled by the U.S. government’s aggressive fiscal and monetary policies, and an increase in consumer spending as mobility restrictions are lifted. Unemployment rates between June 2020 and June 2021 decreased by 5.2%, while the demand for labor is increasing, coupled with increasing wages to incentivize Americans to rejoin the labor force. Schools and businesses are expected to fully reopen soon. In parallel, vaccination rates across the country and the world continue to rise, with full vaccination rates of 50% and 14.8% respectively.
However, it is not completely smooth sailing from here. According to M Capital Group, the main risks that threaten the continued growth of the U.S. economy are inflation, unsettled trade relations, and another wave of Covid-19 mutations that could shut down the world again. Have we learned from the past year of COVID-19 and adapted our economy accordingly?
“In order for the U.S. economy to continue growing, whether there is another wave or not, the U.S. needs to focus on diversifying supply chains, supporting business investment, and maintaining consumer spending,” says Grace Feeley, a research analyst at M Capital Group.
While the economic indicators are positive, the risks are coming closer to manifesting and threatening such growth. The new variants spreading throughout the world, Delta, Lambda, and Gamma, are vaccine-resistant and muddy the predictions made about the economy and health of the country. These variants bring back the feeling of uncertainty that has wreaked havoc not only on the stock market but the mindset of people around the world. MCG provides unique insight on how to mitigate these risks to possibly ensure a bright economic future.
Poonawalla Fincorp and IndusInd Bank Introduce New Co-Branded Credit Cardnickysharmasucks
The unveiling of the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card marks a notable milestone in the Indian financial landscape, showcasing a successful partnership between two leading institutions, Poonawalla Fincorp and IndusInd Bank. This co-branded credit card not only offers users a plethora of benefits but also reflects a commitment to innovation and adaptation. With a focus on providing value-driven and customer-centric solutions, this launch represents more than just a new product—it signifies a step towards redefining the banking experience for millions. Promising convenience, rewards, and a touch of luxury in everyday financial transactions, this collaboration aims to cater to the evolving needs of customers and set new standards in the industry.
What price will pi network be listed on exchangesDOT TECH
The rate at which pi will be listed is practically unknown. But due to speculations surrounding it the predicted rate is tends to be from 30$ — 50$.
So if you are interested in selling your pi network coins at a high rate tho. Or you can't wait till the mainnet launch in 2026. You can easily trade your pi coins with a merchant.
A merchant is someone who buys pi coins from miners and resell them to Investors looking forward to hold massive quantities till mainnet launch.
I will leave the telegram contact of my personal pi vendor to trade with.
@Pi_vendor_247
how to swap pi coins to foreign currency withdrawable.DOT TECH
As of my last update, Pi is still in the testing phase and is not tradable on any exchanges.
However, Pi Network has announced plans to launch its Testnet and Mainnet in the future, which may include listing Pi on exchanges.
The current method for selling pi coins involves exchanging them with a pi vendor who purchases pi coins for investment reasons.
If you want to sell your pi coins, reach out to a pi vendor and sell them to anyone looking to sell pi coins from any country around the globe.
Below is the contact information for my personal pi vendor.
Telegram: @Pi_vendor_247
If you are looking for a pi coin investor. Then look no further because I have the right one he is a pi vendor (he buy and resell to whales in China). I met him on a crypto conference and ever since I and my friends have sold more than 10k pi coins to him And he bought all and still want more. I will drop his telegram handle below just send him a message.
@Pi_vendor_247
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
Currently pi network is not tradable on binance or any other exchange because we are still in the enclosed mainnet.
Right now the only way to sell pi coins is by trading with a verified merchant.
What is a pi merchant?
A pi merchant is someone verified by pi network team and allowed to barter pi coins for goods and services.
Since pi network is not doing any pre-sale The only way exchanges like binance/huobi or crypto whales can get pi is by buying from miners. And a merchant stands in between the exchanges and the miners.
I will leave the telegram contact of my personal pi merchant. I and my friends has traded more than 6000pi coins successfully
Tele-gram
@Pi_vendor_247
Empowering the Unbanked: The Vital Role of NBFCs in Promoting Financial Inclu...Vighnesh Shashtri
In India, financial inclusion remains a critical challenge, with a significant portion of the population still unbanked. Non-Banking Financial Companies (NBFCs) have emerged as key players in bridging this gap by providing financial services to those often overlooked by traditional banking institutions. This article delves into how NBFCs are fostering financial inclusion and empowering the unbanked.
Introduction to Indian Financial System ()Avanish Goel
The financial system of a country is an important tool for economic development of the country, as it helps in creation of wealth by linking savings with investments.
It facilitates the flow of funds form the households (savers) to business firms (investors) to aid in wealth creation and development of both the parties
where can I find a legit pi merchant onlineDOT TECH
Yes. This is very easy what you need is a recommendation from someone who has successfully traded pi coins before with a merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi network coins and resell them to Investors looking forward to hold thousands of pi coins before the open mainnet.
I will leave the telegram contact of my personal pi merchant to trade with
@Pi_vendor_247
The European Unemployment Puzzle: implications from population agingGRAPE
We study the link between the evolving age structure of the working population and unemployment. We build a large new Keynesian OLG model with a realistic age structure, labor market frictions, sticky prices, and aggregate shocks. Once calibrated to the European economy, we quantify the extent to which demographic changes over the last three decades have contributed to the decline of the unemployment rate. Our findings yield important implications for the future evolution of unemployment given the anticipated further aging of the working population in Europe. We also quantify the implications for optimal monetary policy: lowering inflation volatility becomes less costly in terms of GDP and unemployment volatility, which hints that optimal monetary policy may be more hawkish in an aging society. Finally, our results also propose a partial reversal of the European-US unemployment puzzle due to the fact that the share of young workers is expected to remain robust in the US.
3. Export
Control Regulation on
Analyst’s Notebook that it can
only be available to
businesses, government
agencies and academic
institutions operating within the
USA and Russia.
The Matrix Mapper is intended to provide a
strong, viable, dependable and effective alternative to the
Analyst’s Notebook and to excel the Sentinel Visualizer.
Therefore, for clarity in concept & visualization, above
image of Analyst’s Notebook has been used.
4.
5. The Matrix Mapper (MM) would consume suspects’ data gathered from
disparate sources that includes Structured data gathering from sources like
Embarkation/ Disembarkation card, Railway reservations, Telephone/ Mobile
calls, Hotel bookings, Credit/ Debit Card transactions, Visas granted, Vehicle
ownerships, Gun licenses, Bank transactions and remittances etc. and
Unstructured data gathering from sources like CCTV footage from
ATMs, Banks, near by shops, Airport, Railway station, tips collected from
manual resources etc.
Audio Intercept
Cell/ Landline/ SDR
.
GIS
Images
Contacts & Contacts
of Contacts
Contact Methods
Locational, Positional
and Territorial Info.
vis-à-vis Contacts
Text/ Alphanumeric
Imagery Correlation
with Visual, Situational
Identification
Audio/ Video
Nature as well as Intensity
of Inter-relationships
Prediction
6. The Matrix Mapper (MM) would
provide hundreds of icons each
signifying an entity, place or event
such as persons, communicating
devices like landline, mobile and
satellite phone, emails, PTT/SD
radios, financial transactions through
banks, credit cards, debit
cards, insurance etc. , modes of
transport
(bus, scooter, airplane, trains) etc. It
allows intelligent data population and
knowledge discovery on the reams of
data during investigation and provides
inter-connection and relationship
among the icons.
7. The Matrix Mapper not only provides the graphical representation
of the linkages among the matching entity, place and events, thus
forming a consolidated network but also capable of throwing the
actionable and predictive results.
8. ATM
The Matrix Mapper on the
basis of the interconnection,
linkages and pattern
suspect’s data
Timeformation ofTime
Date
provides predictions for the
next events that are likely to
15:55
03/01/13 16:00 can be
happen and
countered accordingly.
Visit Time &
Date
Date
Time
Date
Shahdara
05/09/12
15: 35
04/11/12
Loni
25/09/12
16:00
24/11/12
15:30
23/01/13
16:10
Sarita Vihar
15/10/12
15:45
14/12/12
16:00
13/02/13
16:30
Prediction
Next ATM Withdrawal
9. The Matrix Mapper is capable for counteracting the terrorist’s
activities by performing following operations:
1.
2.
3.
4.
Collating the streams of data and identifies matching
pattern thus forming network of interconnection among
entity, place and event.
Identifying the links of suspect(s) with previous terrorist
activities that had occurred in the same pattern.
Mapping the financial transaction through
banks, credit/debit cards and communication details that
can be used to trace the location (especially the center of
terrorist group) to which the terrorist belongs.
Targeting other terrorists in the network along with the
local criminals who provide aids to them.