What are the most common keyboard layouts and why is each layout designed as such? - Honor 9X Guides, News, & Discussion

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The QWERTY layout is the most popular option, but there are also AZERTY and QWERTZ keyboards, as well as many others…
This question is quite difficult to answer, much like how hard it would be to list the most common global languages and explain the rationale for each language's characteristics. This is because it can be tricky to define what "common" even refers to, as keyboard designs are heavily affected by the various letters and diacritical marks used in languages.
For the Roman/Latin alphabet, QWERTY, AZERTY and QWERTZ are the three most widely-accepted layouts. Even this distinction fails to grasp the complexity of the issue, as each of them has their own variants. For example, this is a standard U.S. QWERTY keyboard:
And this is a standard QWERTY keyboard used in Spain, accommodated for the diacritical mark "ñ" used in Spanish:
As these examples suggest, the QWERTY standard has been adapted for a wide range of countries and regions, including customized designs for Brazil, Portugal and the U.K. The variants tend to differ dramatically in the numeric keys, as well as with regard to special characters and symbols.
Another popular keyboard layout, the QWERTZ, is used rather extensively in Germany, and other countries with close historic and cultural ties to Germany. A German QWERTZ keyboard looks like this:
Here is QWERTZ tailored for Switzerland, with a layout that provides the user with the flexibility to type in either German or French:
The major difference between QWERTZ and QWERTY is that the Y and Z keys have changed position – mainly because T and Z often appear together in German spellings, and would be too difficult to type with one hand. In QWERTZ, T and Z can be easily typed with separate hands.
Now we've come to the AZERTY keyboard (used primarily in France):
AZERTY is also a reworking of QWERTY, having switched the positions of the A and Q keys, W and Z keys, and relocated the M key. The reason for these changes is... a mystery to me! Even experts have not reached a consensus on this, and no single answer definitely explains why AZERTY was specially made for French people. It's theoretically less efficient than QWERTY for several reasons – for instance, A appears a lot more frequently than Q, but is placed in a difficult-to-access position. A much-subscribed theory posits that the first typewriter manufacturers opted for AZERTY, for whatever reason, and France has been stuck with it ever since…
The map below shows the popularity of QWERTY, QWERTZ and AZERTY in Europe:
Green: QWERTY
Blue: AZERTY
Orange: QWERTZ
Yellow: a country's own standard
QWERTY is without question the closest thing to a universal standard keyboard layout in most countries. You've probably noticed that Italy, Portugal and Turkey are marked with two colors. These three countries originally had their own standards, as home computers needed to adopt local typewriter keyboard layouts to attract local market share – yet eventually QWERTY took hold as IBM increased its global reach.
This is Italy's typewriter-based QZERTY in the old days, to be later replaced by QWERTY:
Turkey had its own standard as well, a keyboard design called "Turkish-F":
The invention of "Turkish-F keyboard" can be traced to an American educational psychologist named August Dvorak, who denounced QWERTY as an unreasonable design and created the so-called "Dvorak keyboard" as an alternative. His proposal didn't catch on in his home country, but made some waves in Turkey, where ongoing studies in bone and muscle anatomy had been leveraged in designing the optimal keyboard layout for Turkish, at a time when Turkey was looking to abandon the Arabic alphabet in favor of Roman letters. The Turkish-F really went viral… for a time, before being phased out for QWERTY, due to the personal computer revolution.
Now let's look back at what Dvorak objected to about QWERTY… It all started in the 1860s, when a young man named Christopher L. Sholes invented the first-ever typewriter, drawing inspiration from the existing concept of movable type:
However, the structure of that typewriter often caused it to jam (as shown below), which would occur when two adjacent keys were pressed simultaneously:
Sholes then set about reorganizing the letters and uncoupling common letter combinations, such as WH, TH and AD, to solve the jamming issue – and hence, the QWERTY keyboard was born.
Sholes' company went bust after selling about 5,000 typewriters, and he sold his patent to a businessman, who persuaded the famed gun manufacturer E. Remington and Sons to purchase Sholes' invention for a lavish sum. This paved the way for the groundbreaking Remington Standard No. 2, a significant improvement upon Sholes' product, as it completely eliminated the presence of jamming. However, given the presence of 5,000 Sholes typewriters in circulation, Remington didn't want to disrupt consumers' habits, and opted to retain the QWERTY layout.
Remington Standard No. 2 was the gold standard for typewriters, selling 100,000 units annually by the year 1900. That's when Sholes approached Remington with the offer of a more scientifically-based keyboard layout that could substantially increase typing efficiency. Unfortunately, Remington rejected the new idea, as hundreds of thousands, if not millions, of people had already grown accustomed to using QWERTY.
That brings us to the 1930s… when August Dvorak carefully studied the letter frequency in the English language, and devised a layout in which the most commonly-used letters were placed in the middle column of the typewriter, so that pressing these letters would require minimal finger movement. The column above houses the less common letters, and the column below is reserved for the least frequently-used letters. The vowels (A, E, I, O, U) are grouped on the left, and consonants on the right, so that the user types with alternating presses from fingers on their left and right hands:
The image below shows the typing frequency of the keys on a QWERTY keyboard:
Here's what it looks like under Dvorak's design:
The French also adapted Dvorak's design for a BÉPO keyboard:
The Germans designed the NEO layout, also based on the Dvorak keyboard:
Dvorak even came up with a one-handed layout, designed specifically for war veteran friends of his, who had lost their arms in battle:
Therefore, Dvorak's design is an extremely handy frame of reference for keyboard layout designers to enhance the efficacy of their own models.

Related

do you like integrated keyboard

Just one of them thoughts when you've had a beer...
I have never owned a nokia communicator, but I know numerous colleagues that use them for international travel. I like the look of the device, and the way it works. Your thoughts are .. . ..
btw I have owned my XDA since September '02 and upgrade time is coming closer . .
Martin :roll:
I owned a Communcator a while ago and I'm glad I choose for the XDA. Sure...a keyboard beats stylus input hands down but it also greatly effects the device's size and form. And nobody, within their right mind, can say the XDA isn't a 100 times prettier then the Communicator. Plus the keyboard of the Communicator isn't all that good. It's too small to type comfortably. I've also owned a HP Jornada 720 which has a 3/4 size keyboard.....Now we're talking
The real solution, AFAIC, is right around the corner : The IR keyboard. It projects a keyboard on any flat surface an registers your finger movements to simulate a real keyboard. You can read about it here. Another possible solution would the FrogPad. You can read about that here.
Chiani
I've used a communicator and think it's a poor alternative compared to the XDA. However, I do like to have a keyboard for tose lenghty word documents I like to produce.
I use a foldable keyboard for writing in Word and other longer text input.
The keyboard is about the same size as the XDA, and the only drawback for me as a scandinavian is the lack of scandinavian letters. The character layout on my keyboard do not contain the last three letters in the Norwegian alphabet. I therefore resort to the "search and replace" method.
The keyboard is manufactured by Darfon, here's a link:
http://www.benq-eu.com/Products/Keyboard/
Thomas R said:
I use a foldable keyboard
Click to expand...
Click to collapse
Ha I have one of those. But I keep reflashing my device and forgetting to reinstall the driver, leaving me stuck with all the hardware and a missing driver. So you'll like how I smuggled it in some leftover space in the v1.2 ROM, out today (or tonight, actually...): the install CAB (called IPAQ foldable keyboard.cab or something rather) is in \Windows.

Succeeding in China – How can Overseas Developers Capitalise on the World’s Largest A

Succeeding in China – How can Overseas Developers Capitalise on the World’s Largest App Market
It’s a question many in the mobile application sector ask regularly – how do you get an app to take off in the lucrative and ever-growing Chinese app market? The statistics about the smartphone industry and mobile usage in the world’s largest country are emphatic – 1.3 billion mobile internet users, almost 100 billion app downloads in 2019, half of the global consumer spending on mobile apps, and a mobile gaming industry that accounted for US$15B in the first six months of 2020.
These numbers are huge and smartphone penetration in China is forecast to continue its steady growth into the foreseeable future, yet developers from around the world often miss the mark when trying to cash in on the world’s largest app market.
The failure of most apps to truly penetrate this market can paint a rather discouraging and frustrating picture for overseas developers. Navigating the unfamiliar and at times complicated legal and regulatory requirements is perhaps the most poignant of the challenges they face. The litany of entry requirements such as privacy regulations, content compliance rules, consumer protection laws, and qualification requirements creates a compliance-induced headache at best, and at worst can act as an impassable roadblock to launching an app in China at all.
Another hurdle is creating an app that actually resonates with Chinese users. What might be an essential digital product to western customers could very well fall flat in Asia, and developers are often left scratching their heads to understand exactly why their app misfires. While some simply consider it impossible to get a foot in the door in the face of thousands of locally created apps, developers often fail to truly localise their apps and ensure it is relevant to the Chinese user.
For example, there are a range of cultural differences that need to be considered when making an app for China, from proper translation of the language to more subtle factors such as the meaning of colours and appropriate imagery. Furthermore, developers need to understand how unique Chinese smartphone user habits and behaviours might affect how they use an app.
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Overseas developers need to ensure their app is adapted to the local market when launching in China​
The reality is that there’s more to succeeding in China than simply listing an app and waiting for the downloads to start streaming in, and it’s often important details and crucial nuances that can be the difference between an app that flops and one that flourishes. Partnering with a Chinese company that knows the market inside out can help in this regard, but having a local presence on the ground is out of reach for most developers.
That’s where Huawei is looking to step in. The technology giant is synonymous with China’s booming smartphone market. It had a 46% market share of smartphone sales in the country in the second quarter of 2020, while its app distribution platform, AppGallery, continues to go from strength to strength in China and throughout the world, having amassed 490 million active users globally. Not only does the company play a key role in China’s mobile world – its technology, products, and services have helped shape the world’s largest smartphone market and the modern Chinese smartphone user.
Huawei has the largest smartphone market share in China​
Huawei is increasingly looking to utilise this dominance and its familiarity with China’s mobile market to help facilitate global developers into the country’s app market. The goal is simple: help developers from overseas succeed in China, and the company is designating more resources and leveraging its market expertise to help achieve this. Next month the company will launch a range of new initiatives that are aimed to bridge the gap between global developers and Chinese users.
These measures will include resources to help developers overcome legal and compliance barriers and tools that enable apps to be truly localised for the Chinese market, amongst a raft of market insights, support services, and other resources. Meanwhile, the webinar will invite top game publishers in China to share exclusive insights on some of the key concerns for overseas game developers. The full suite of new measures will be unveiled in the Huawei Developer Webinar –Grow in China, Win with AppGallery, which will be livestreamed throughout the world at (13:00 CET) on Monday 9 November.
For more details, visit the website
https://consumer.huawei.com/en/part...TE][QUOTE][/QUOTE][/QUOTE]erm=huaweideveloper

Succeeding in China –How can Developers Capitalise on the World’s Largest App Market

It’s a question many in the mobile application sector ask regularly – how do you get an app to take off in the lucrative and ever-growing Chinese app market? The statistics about the smartphone industry and mobile usage in the world’s largest country are emphatic – 1.3 billion mobile internet users, almost 100 billion app downloads in 2019, half of the global consumer spending on mobile apps, and a mobile gaming industry that accounted for US$15B in the first six months of 2020.
These numbers are huge and smartphone penetration in China is forecast to continue its steady growth into the foreseeable future, yet developers from around the world often miss the mark when trying to cash in on the world’s largest app market.
The failure of most apps to truly penetrate this market can paint a rather discouraging and frustrating picture for overseas developers. Navigating the unfamiliar and at times complicated legal and regulatory requirements is perhaps the most poignant of the challenges they face. The litany of entry requirements such as privacy regulations, content compliance rules, consumer protection laws, and qualification requirements creates a compliance-induced headache at best, and at worst can act as an impassable roadblock to launching an app in China at all.
Another hurdle is creating an app that actually resonates with Chinese users. What might be an essential digital product to western customers could very well fall flat in Asia, and developers are often left scratching their heads to understand exactly why their app misfires. While some simply consider it impossible to get a foot in the door in the face of thousands of locally created apps, developers often fail to truly localise their apps and ensure it is relevant to the Chinese user.
For example, there are a range of cultural differences that need to be considered when making an app for China, from proper translation of the language to more subtle factors such as the meaning of colours and appropriate imagery. Furthermore, developers need to understand how unique Chinese smartphone user habits and behaviours might affect how they use an app.
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Overseas developers need to ensure their app is adapted to the local market when launching in China​
The reality is that there’s more to succeeding in China than simply listing an app and waiting for the downloads to start streaming in, and it’s often important details and crucial nuances that can be the difference between an app that flops and one that flourishes. Partnering with a Chinese company that knows the market inside out can help in this regard, but having a local presence on the ground is out of reach for most developers.
That’s where Huawei is looking to step in. The technology giant is synonymous with China’s booming smartphone market. It had a 46% market share of smartphone sales in the country in the second quarter of 2020, while its app distribution platform, AppGallery, continues to go from strength to strength in China and throughout the world, having amassed 490 million active users globally. Not only does the company play a key role in China’s mobile world – its technology, products, and services have helped shape the world’s largest smartphone market and the modern Chinese smartphone user.
Huawei has the largest smartphone market share in China​
Huawei is increasingly looking to utilise this dominance and its familiarity with China’s mobile market to help facilitate global developers into the country’s app market. The goal is simple: help developers from overseas succeed in China, and the company is designating more resources and leveraging its market expertise to help achieve this. Next month the company will launch a range of new initiatives that are aimed to bridge the gap between global developers and Chinese users.
These measures will include resources to help developers overcome legal and compliance barriers and tools that enable apps to be truly localised for the Chinese market, amongst a raft of market insights, support services, and other resources. Meanwhile, the webinar will invite top game publishers in China to share exclusive insights on some of the key concerns for overseas game developers. The full suite of new measures will be unveiled in the Huawei Developer Webinar –Grow in China, Win with AppGallery, which will be livestreamed throughout the world at (13:00 CET) on Monday 9 November.
For more details, visit the website
https://consumer.huawei.com/en/part...TE][QUOTE][/QUOTE][/QUOTE]erm=huaweideveloper

Frictionless Communication

Smart, data-driven technologies are creating a world of frictionless communication, with huge benefits for business. Companies can provide tailored products that can reach the long-tail market thanks to a clearer, more precise understanding of customer habits, needs, and wants. Transparent, real-time information channels will eliminate errors and misunderstandings between consumers and service providers, ramping up customer satisfaction and loyalty. And AI-powered translation devices will power borderless business, helping companies go global as language barriers fall.
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Understanding Customers
Companies are now using intelligent technologies to help them design innovative business models. Service providers have always had access to surface-level data, like customer buying habits, but soon they will be able to dig deeper into information like user emotions and personality. They can find online and offline information about a customer's career, interests, preferences, and social attitudes, and this vivid profile of the customer provides high-quality input data for AI algorithms, which can uncover the customer's real and hidden needs.
In the manufacturing industry, as vendors gain a deeper understanding of the real needs of end users. they can develop products that better satisfy the needs of the brand-name firms that sell their products and increase their own value within the supply chain by identifying and recommending new business opportunities.
Inclusive Communication
StorySign is an app that helps deaf children to read using AI technologies such as image recognition and optical character recognition. When a user scans a page from a story book, the StorySign app shows a cartoon signer who signs the words. Currently, StorySign can translate texts into 10 different sign languages: British (BSL), Irish (ISL), Dutch (NGT), Flemish (VGT), Italian (LSI), Spanish/Catalan (LSE & LSC), French (LSF), Portuguese (LGP), Swiss German (DSGS), and German (DGS). More languages will be added in the future. AI devices and software will allow the speech or hearing impaired to engage and contribute on an equal footing.
Understanding Product/Service Providers
Conflicts between patients and doctors eat up 6% of hospital efficiency every year, and 75% of doctors and nurses report that they have been subject to physical or verbal attacks caused by problems in communication. An AI assistant could interpret a doctor's prescription in layman's terms to make it easier for patients to understand. This will allow patients to feel more certainty about the health issues they face, their risks, treatment plans, and the expected effects. Doctor-patient interaction can be smoother and calmer, without the stress of complex terminology.
After receiving a prescription, AI tools can also help patients understand what the doctor has given them, confirm that it is the right drug for them, check for any alternative therapies, and calculate the correct dosage for their current condition. For the elderly and other patients who need support, these tools can make sure that drugs are taken on time, in the correct dose, without any confusion.
Borderless Communication
AI-enabled translation devices can help people speaking different languages communicate very effectively. The combination of human plus AI translators makes for a much more effective team: Together, they can achieve 95% accuracy with 0% omissions. The ability to communicate across language barriers is vital for big companies and organizations that now work around the world, with people speaking every different language on the planet. Translation devices with inbuilt specialist domain knowledge will be a boon that breaks down the barriers to communication in commerce, charity, government, and academic settings, enabling everyone to forget the friction and focus on their work.
For details about Huawei developers and HMS, visit the website.
HUAWEI Developer Forum | HUAWEI Developer
forums.developer.huawei.com
Very insightful.

The Development of AI and Custom Models

Artificial intelligence (AI) and machine learning have become hot topics in recent years. Many predict that the mobile network era will ultimately lead to a future driven by AI. But where did AI come from? How does it work? And how can it improve our lives?
To get some answers, let's look back over the history of AI.
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AI has a long history. We can perhaps trace its origins to the scientist Alan Turing (1912–1954), who along with his contemporaries, attempted to solve complex tasks by simulating human consciousness and mentality. The famous Turing Test was created to test whether a machine was truly "intelligent".
Later, the computer was invented, and used to store and process data. This made the creation of AI a more tangible possibility. In 1956, at the Dartmouth Workshop, Marvin Minsky clearly defined what AI was for the first time, using the neural network as a data model, an idea which had been proposed by neuroscientists. At this workshop, he also improved the programming language used for AI, which made the technology even more tangible.
The neural network, which is the basis of human thinking, essentially relies on function and feedback between neurons. The question of how to simulate the human brain has long been a focus of AI experts. In 1958, a computer scientist named Frank Rosenblatt introduced an algorithm called a perceptron. This is the simplest form of neural network, consisting of just two neuron layers, and was used for the binary classification of data. The scientific world realized then that AI had a bright future. More and more people became aware of, and interested in developing, this technology.
However, AI still had a long way to go. In 1969, Minsky proved that the perceptron could only handle linear classification, and struggled to handle even the simplest XOR problems. This issue became a huge stumbling block for AI specialists at that time, and as a result, the potential of AI was not recognized by many, and the field stagnated for nearly 20 years.
In 1986, Geoffrey Hinton advocated the backward propagation of errors (or backpropagation for short). This method was useful for dealing with nonlinear classification and was widely applied in multi-layer neural network structures. It once more kindled some enthusiasm for deep learning. To obtain more precise results, increasing numbers of layers were added to the network structure. But this came at a price: deeper layers gradually lost the effective learning that shallower layers had achieved. Because of backpropagation's vanishing gradient problem, people chose to use shallow learning methods instead when solving real-life problems.
Deep learning did not find favor again until 2006, when Hinton proposed a solution to the vanishing gradient problem. Meanwhile, passion for deep learning began to spread from the academic community to industry. More and more companies and institutions started to apply it to things like voice recognition and image classification. It was in these sectors that deep learning began to show the significant advantages it has over traditional, shallow learning.
Since 2012, neural network structures and optimization algorithms have been emerging in quick succession. This has led to a dramatic improvement in the performance of deep learning. However, despite optimized algorithms and computing power, deep learning still puts many people off because training data requires long periods of time.
Another hurdle the technology had to overcome was the question of how to reuse acquired knowledge for sectors which had limited training data. Transfer learning was developed as a solution to this problem. With this method, knowledge gained during a task is transferred to a target task. Because this method effectively utilizes the model parameters it obtains, it requires much less time to train models. Transfer learning is now considered to be the future of AI algorithms.
Over the course of AI's long history, algorithms have been developed which have the ability to solve a wide range of complex problems. To truly unleash the power of AI, we need to minimize the cost of using deep learning neural networks, so we can resolve problems in different sectors.
It's highly possible that in the coming years, AI will profoundly change the world. In fact, the technology's integration with the Internet has already changed all aspects of our daily life. But AI will also transform all industrial sectors, including IoV (internet of vehicles), home appliances, health care, agriculture, and manufacture. To solve intricate tasks within these sectors, we need methods which can provide more accurate results.
This is where HUAWEI ML Kit's custom model service comes in. This service utilizes the transfer learning method to help you quickly customize your models. By simply providing it with a small amount of data for your chosen sector, you can obtain a model that is applicable to that sector.
Hopefully, in the future, we will be able to fully harness AI. Instead of being a tool which is useful to just a handful of people, it can be applied in all aspects of society, bringing us services which are intelligent and tailored to our needs.

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