Tag Archive for: CIO

Hong Kong eyes push on mobile phone SIM cards that could stoke privacy fears, IT News, ET CIO

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HONG KONG: Hong Kong is canvassing public opinion over a real-name registration system for mobile phone SIM cards, in a bid to fight crime in the Chinese-ruled city, it said on Friday, a move that is likely to stoke concerns over privacy.

Many countries have such registration systems, but some people in Hong Kong fear such a change could assist a crackdown on dissent that began with Beijing’s imposition of a sweeping national security law last year.

Currently only mobile users on SIM service contracts must register actual personal details in Hong Kong, though anyone can buy a pre-paid SIM card from most convenience stores.

The rule aims to keep criminals from concealing their identities and put a stop to a “common tool used…in committing serious and violent crimes that threaten public safety,” the government said in a statement.

It has set a Feb. 28 deadline for comment on the proposed compulsory registration, which would require users to furnish full names and an identity document.

In recent months, China has bolstered its security apparatus in the former British colony, creating a security agency with broad powers beyond the scrutiny of the courts.

The tighter measures come despite the promise of a high degree of autonomy from Beijing when Hong Kong returned to Chinese rule in 1997.

Hong Kong has one of Asia’s highest smartphone penetration rates, at almost 80% of its population of 7.5 million. Its only regional peers are other developed economies, such as Singapore and South Korea.

In 2019, Hong Kong had about 14.5 million pre-paid SIM card subscribers, an increase of 16.6% on the year, says German database firm Statista.

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2020 CIO IT Infrastructure Policies

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Dublin, Dec. 18, 2020 (GLOBE NEWSWIRE) — The “CIO IT Infrastructure Policy” report has been added to ResearchAndMarkets.com’s offering.

IT Professionals are moving towards a WFH and mobility-based IT Infrastructure paradigm. The control and management of staff, and IT processes need to be updated to reflect this new reality.

The CIO IT Infrastructure Policy Bundle is over 400 pages long and contains all of the policies listed below.

The policies included are:

  • Backup and Backup Retention Policy -includes WFH backup strategy
  • Blog and Personal Web Site Policy
  • BYOD Policy
  • Google Glass Policy
  • Incident Communication Plan Policy
  • Internet, e-Mail, Social Networking, Mobile Device, Electronic Communications, and Record Retention Policy
  • Mobile Device Access and Use Policy
  • Patch Management – Version Control Policy
  • Outsourcing and Cloud-Based File Sharing Policy
  • Physical and Virtual Security Policy
  • Privacy Compliance Policy
  • Record Classification, Management, Retention, and Destruction Policy
  • Safety Program
  • Sensitive Information Policy
  • Service Level Agreement (SLA) Policy Template with Metrics
  • Social Networking Policy
  • Technology Acquisition Policy
  • Telecommuting Policy
  • Text Messaging Sensitive and Confidential Information
  • Travel, Electronic Meeting, and Off-Site Meeting Policy
  • Wearable Device Policy

Policies include topics like:

  • Pandemic Planning Checklist – electronic form
  • Top 10 Technology Travel Tips – Best Practices for International Travel
  • How to create a WYOD (Wear Your Own Device) strategy
  • Best Practices for Text Messaging Sensitive Information
  • Legal considerations of Google Glass and other Wearable Devices
  • Federal Computer Security Incident Handling Requirements
  • Best Practices to Meet Compliance Requirements
  • Mobile Device Security and Compliance Checklist
  • Top 10 Cloud and Outsourcing SLA Best Practices
  • ISO Compliance Requirements
  • Legal definitions for records management compliance
  • Generic Service Level Agreement Template
  • Tips on how to avoid being scammed on social networks
  • Telecommuting risks faced by the business
  • Plus much more

Defining Your Optimal IT Infrastructure is a critical task that can no longer wait with all of the changes mandated by PCI-DSS, HIPAA, ISO, ITIL, Sarbanes-Oxley, changing economic…

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Computer vision mobile app can regularly monitor diabetes, IT News, ET CIO

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London, University of Cambridge engineers has developed a computer vision technology into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.

The app uses computer vision techniques to read and record the glucose levels, time and date displayed on a typical glucose test via the camera on a mobile phone.

The technology, which doesn’t require an internet or Bluetooth connection, works for any type of glucose meter, in any orientation and in a variety of light levels.

It also reduces waste by eliminating the need to replace high-quality non-Bluetooth meters, making it a cost-effective solution to the National Health Service (NHS).

Working with UK glucose testing company GlucoRx, the Cambridge researchers developed the technology into a free mobile phone app called GlucoRx Vision, which is now available on the Apple App Store and Google Play Store.

To use the app, users simply take a picture of their glucose meter and the results are automatically read and recorded, allowing much easier monitoring of blood glucose levels.

In addition to the glucose meters, many other types of digital meters are used in the medical and industrial sectors.

“These meters work perfectly well, so we don’t want them sent to landfill just because they don’t have wireless connectivity,” said Dr James Charles from Cambridge’s Department of Engineering.

“We wanted to find a way to retrofit them in an inexpensive and environmentally-friendly way using a mobile phone app”.

The computer vision technology behind the GlucoRx app is made up of two steps.

First, the screen of the glucose meter is detected.

The researchers used a single training image and augmented it with random backgrounds, particularly backgrounds with people.

This helps ensure the system is robust when the user’s face is reflected in the phone’s screen.

Second, a neural network called LeDigit detects each digit on the screen and reads it.

The network is trained with computer-generated synthetic data, avoiding the need for labour-intensive labelling of data which is commonly needed to train a neural network.

“Since the font on these meters is digital, it’s easy to train the neural network to recognise lots of…

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