Car windshield wipers may help prevent flooding: Study

Agencies
January 21, 2019

Washington, Jan 21: Tracking windshield wiper activity can provide faster, more accurate rainfall data than radar and rain gauge systems currently in place, potentially helping predict and prevent flooding, according to a study.

Researchers at the University of Michigan in the US said that a community armed with that real-time data could move more quickly to prevent flash-flooding or sewage overflows, which represent a rising threat to property, infrastructure and the environment.

Coupled with "smart" storm-water systems -- infrastructure outfitted with autonomous sensors and valves -- municipalities could potentially take in data from connected vehicles to predict and prevent flooding, according to the study published in the journal Scientific Reports.

"These vehicles offer us a way to get rainfall information at resolutions we had not seen before," said Branko Kerkez, an assistant professor at the University of Michigan.

"It is more precise than radar, and allows us fill gaps left by existing rain gauge networks," Kerkez said.

Our best warnings for flood conditions come from the combination of radar tracking from satellites and rain gauges spread over a wide geographic area.

Both have poor spatial resolution, meaning they lack the ability to capture what is happening at street-level, researchers said.

"Radar has a spatial resolution of a quarter of a mile and a temporal resolution of 15 minutes," said Ram Vasudevan, an assistant professor at the University of Michigan.

"Wipers, in contrast, have a spatial resolution of a few feet and a temporal resolution of a few seconds which can make a huge difference when it comes to predicting flash flooding," Vasudevan said.

He said because of the sparseness of radar and rain gauge data, we do not have enough information about where rain is occurring or when it is occurring to reduce the consequences of flooding.

"If you have fine-grain predictions of where flooding occurs, you can control water networks efficiently and effectively to prevent all sorts of dangerous chemicals from appearing inside our water supply due to runoff," Vasudevan said.

Researchers said creating a blanket system of sensors across a city for street-level data on rain events would be costly.

By utilising connected vehicles, they are tapping a resource already in place now that will only grow larger in the future.

Researchers collected data from a set of 70 cars outfitted with sensors embedded in windshield wipers and dashboard cameras.

Kerkez and Vasudevan said their research represents a first step in creating a smart infrastructure system that is fed by and responds to data as it is collected from vehicles on the road.

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Agencies
June 9,2020

Soon, you may be able to withdraw cash from an ATM without touching any part of the machine. AGS Transact Technologies, a provider of cash and digital payment solutions and automation technology, on Monday said it has successfully developed and tested a touchless ATM solution in light of the COVID-19 pandemic.

The ‘contactless' solution, currently under demo at interested banks, enables a customer to perform all the steps required to withdraw cash from an ATM using the mobile app itself. 

The customer simply has to scan the QR code displayed on the ATM screen and follow the directions on their respective bank's mobile application. 

This includes entering the amount and mPIN required to dispense the cash from the ATM machine. 

According to the company, the QR code feature makes cash withdrawals quicker and more secure, and negates the chances of compromising the ATM Pin or card skimming.

"The new Touchless ATM solution is an extension of the flagship QR Cash solution which ensures safety of the users and will provide a seamless cash withdrawal experience with enhanced security," said Ravi B. Goyal, Chairman and MD, AGS Transact Technologies Ltd.

With minimum investment, the banks can enable this solution for their ATM networks by upgrading the existing software.

AGSTTL has so far installed, maintained and managed a network of over 72,000 ATMs across the country and also provides customised solutions to leading banks. 

The company earlier introduced UPI-QR based Cash withdrawal solution in partnership with Bank of India. 

This is how the solution works.

Open the Bank mobile application on your smartphone and select QR Cash Withdrawal. Enter the amount you wish to withdraw on the mobile app and scan the QR code on the ATM screen.

Next, confirm the amount by clicking on ‘proceed' in the app and enter the mPin to authenticate the transaction. Now collect the cash and receipt and you are done.

"The seamless, cardless and touchless withdrawal method is designed to provide easy transaction flow, without the need to touch the ATM screen or enter the pin," said Mahesh Patel, President and Group Chief Technology Officer, AGS Transact Technologies.

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Agencies
June 22,2020

Chennai, Jun 22: Commuting the death sentence to life imprisonment for five convicts, the Madras High Court on Monday set free Chinnasamy, the main convict, who had also been sentenced to death in the Udumalpet Shankar honour killing case.

A Division Bench comprising Justice M. Sathyanarayanan and Justice M. Nirmal Kumar also dismissed the appeal by the state police against the acquittal of three persons by a lower court.

The Bench ordered the five convicts sentenced for life to undergo a jail term of not less than 25 years.

In 2016, V. Shankar, who had married C. Kausalya, was killed by a gang in Udumalpet in Tamil Nadu. The gang also injured Kausalya in the attack.

It was alleged the parents of Kausalya -- Chinnasamy, Annalakshmi -- were against the marriage.

P. Pandidurai, the uncle of Kausalya at the behest of Chinnasamy and Annalakshmi had hired a gang to kill Shankar.

The gang killed Shankar in broad daylight in a public place and Kausalya too got injured in the attack as she tried to save her husband.

The Principal District and Sessions Court in Tiruppur had convicted and sentenced to death six accused persons -- Chinnasamy, P. Jagadeesan, P. Selvakumar, M. Manikandan, M. Mathan alias Michael and P. Kalaithamilvaanan.

The court also sentenced two other accused, K. Dhanraj for life and Manikandan to a five year jail term, while acquitting Annalakshmi, Pandidurai and Prasanna.

The convicts had filed an appeal against their sentence in the Madras High Court while the police filed an appeal against the acquittal of three persons.

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Agencies
July 4,2020

Twitter has joined efforts to do away with racially loaded terms such as master, slave and blacklist from its coding language in the wake of the death of African-American George Floyd and ensuing Black Lives Matter protests.

The project started even before the current movement for racial justice escalated following the death of 46-year-old George Floyd in police custody in May.

The use of terms such as "master" and "slave" in programming language originated decades ago. While "master" is used to refer to the primary version of a code, "slave" refers to the replicas. Similarly, the term "Blacklist" is used to refer to items which are meant to be automatically denied.

The efforts to change these terms in favour of more inclusive language at Twitter were initiated by Regynald Augustin and Kevin Oliver and the microblogging platform is now backing their efforts.

"Inclusive language plays a critical role in fostering an environment where everyone belongs. At Twitter, the language we have been using in our code does not reflect our values as a company or represent the people we serve. We want to change that. #WordsMatter," Twitter's engineering team said in a post on Thursday.

As per the recommendations from the team, the term "whitelist" could be replaced by "allowlist" and "blacklist" by "denylist".

Similarly, "master/slave" could be replaced by "leader/follower", "primary/replica" or "primary/standby".

Twitter, however, is not the first to start a project to bring inclusivity in programming language.

According to a report in CNET, the team behind the Drupal online publishing software started using "primary/replica" in place of "master/slave" as early as in 2014.

The use of the terms "master/slave" was also dropped by developers of the Python programming language in 2018.

Now similar efforts are underway at Microsoft's Github and LinkedIn divisions as well, said the report.

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