Official Blog

ReactJS

What is React?

React is a front-end library developed by Facebook. It is used for handling the view layer for web and mobile apps.

React is a library for building composable user interfaces. It encourages the creation of reusable UI components, which present data that changes over time. Lots of people use React to the V in MVC (Model View Controller). React abstracts away the DOM (Document Object Model) from you, offering a simpler programming model and better performance. React can also render on the server using Node, and it can power native apps using React Native. React implements one-way reactive data flow, which reduces the boilerplate and is easier to reason about than traditional data binding.

What is ReactJS?

ReactJS allows us to create reusable UI components. It is currently one of the most popular JavaScript libraries and has a strong foundation and large community behind it.

If you want to work with ReactJS, you need to have solid knowledge of?JavaScript, HTML5, and?CSS. Even though ReactJS doesn’t use HTML, the JSX is similar so your HTML knowledge will be very helpful.

Capabilities of ReactJS:-

• JSX JSX is JavaScript syntax extension. It isn’t necessary to use JSX in React development, but it is recommended.
• Components React is all about components. One need to think of everything as a component. This will help maintain the code when working on larger scale projects.
• Unidirectional data flow and Flux React implements one-way data flow which makes it easy to reason about the app. Flux is a pattern that helps to keep your data unidirectional.
• License React is licensed under the Facebook Inc. Documentation is licensed under CC BY 4.0.

Advantages of ReactJS:-

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Adaptability

One of the most heartwarming features of React JS is its adaptability. What makes react perfectly is the capacity to get adopted with ease and convenience. Because of the short list of lifecycle approaches, this is very easy to understand and use. With the advent of ES2015 and ES2016, a more functional and user-friendly programming has become a cyber norm and render function of React JS makes it easy for React JS to comply with a user-friendly and functional programming style.

Usefulness of JSX
The separation of HTML from Java is still a hot debate among programmers. The makers of React JS believe that this separation is indeed a very shallow one as both of them were very well integrated. Thus they introduce JSX and React JS features make it very easy because JSX makes the reasoning of a module easier than ever.

?Free and OpenSource
If a software is free and it is open source, there is needless to say that it is going to be the new favorite of programmers and relevant community. React JS usage is although subject to the curation by Facebooks developers, it is still free and open source, which gives you a chance to get codes developed by elite and most enthusiastic developers.

?SCMA Script
Programmer community believes that React JS features will touch new heights because of the availability of ECMAScipt6 and 7. While the latter is still in progress, its features are being used by big-shot libraries. With help of any good ES transpiler, you can use these stunning features.

?Decorators from ES7
As it has been mentioned before, you do not need to wait for the ES7 features being supported by the Internet Explorer; you can use a transpiler for that. Decorators are one of the most useful features of React JS and they allow you to augment a functions behavior by simply wrapping that in a different function.

Server-side Communication
One of the main reasons why people expect a mass use of React JS is because of React JS features like server-side communication. The library of React JS empowers the programmers by giving them lifecycle hooks to enable the service requests. With help of this feature, you understand the mechanism of XHR requests and thus easily update your library to use them.

Light Railing for Applications
React JS is being used by different companies, developers, and programmers, but one reason why every IT company should consider React JS features, is its lifecycle methods, state and props capacity to provide enough railing to create useful apps. This railing, however, would not smother the free use of different libraries.

Asynchronous Functions & Generators
One of the main reasons for the immense React JS usage is the asynchronous functions and generators offered by ES6. The freedom to pause and resume the execution of a JavaScript function makes these generators popular among developers and programmers.

Flux Library
Like it has been said, React JS is actually a library made of Java scripts. Flux is one of the best libraries that complement React JS and make it very easy for the programmers to manage data across the whole application.

Destructuring Assignments
In ES6, Destructuring Assignments were introduced to the programmers. They allow the programmers to bring a compound object on the left side of an assignment. Having such an amazing feature, one can save some keystrokes and also load only a subset of a required module.
Out verdict goes in favor of React JS and considering very useful features that React JS introduces to the community, we can predict that React JS features will only make it skyrocket in the coming years.

Disadvantages of ReactJS

1. The high pace of development:?The environment constantly changes, and developers must regularly relearn the new ways of doing things. Everything is evolving, and some developers are not comfortable with keeping up with such a pace.
2. Poor documentation:?The problem with documentation traces back to constant releases of new tools. Different and new libraries like Redux and Reflux are promising to accelerate the work of a library or improve the entire React ecosystem. Developers struggle with integrating these tools with ReactJS.

Some members of the community think that React technologies are updating and accelerating so fast that there is no time to write proper instruction.

?HTML in my JavaScript!???JSX as a barrier

ReactJS uses?JSX. Some members of the development community consider JSX to be a serious disadvantage. Developers and designers complain about JSXs complexity and consequent steep learning curve.

React isn’t a framework

The looseness with which React can be employed is great for experimentation but challenging when you’re trying to do things the?right?way. Knowing there isn’t one yet will save you some time here.

Future Generation Mobile Phone -NOKIA MORPH TECHNOLOGY

No doubt that everybody is aware of the campaign Nokia- Connecting People. Nokia, from always has been the other name for Reinvention. People all over the globe found Nokia useful and trustworthy in both hardware and software. People found OS highly user-friendly that is used in Nokia mobile. Nokia creates the technology to connect the world. Lets know something about Nokia.
Nokia is a Finnish multinational corporation founded on the 12 May 1865 as a single paper mill operation. Through the 19th century, the company expanded, branching into several different products. In 1967, the Nokia Corporation was formed. In the late 20th century, the company took advantage of the increasing popularity of computer and mobile phones. However, increased competition and other market forces caused changes in Nokia’s business arrangements. In 2014, Nokia was sold to Microsoft. However, the use of Nokia branding and Nokia’s licensed technology continues. This was all about Nokia. Every successful company has some pros and cons, and so as with Nokia. There was a time when Nokia sold itself to Microsoft. There is the big story behind it, It all started in January 2013 with a phone call from Microsoft CEO Steve Ballmer to Nokia Chairman Risto Siilasmaa. Both Nokia and Microsoft were frustrated with the single digit market share of Windows Phone, despite both companies pouring money into marketing. Four main meetings resulted in the deal. Steve Ballmer at one point tripped over a glass table during meetings, resulted in a gash on his forehead. The deal stalled over both sides not seeing eye-to-eye on how much Nokia was worth and the value of HERE services.

We never did anything wrong but somehow we lost
Nokia CEO

This seems sad but Nokia never gives up. They are back with the motivation to achieve success once. This will of course take time, but not Failure.
As they never give up they are back with a new innovative idea NOKIA MORPH

Now, what is NOKIA MORPH?
The Nokia Morph is a concept mobile phone created by Finnish company Nokia. The concept, which was unveiled on February 25, 2008, at The Museum of Modern Art in New York City, was the product of a joint study into the future of mobile phones by the Nokia Research Center and the University of Cambridge’s Nanoscience Centre. The device was presented as part of the museum’s “Design and The Elastic Mind” exhibit. According to Bob Iannucci, Nokia’s chief technology officer, the “Nokia Research Center is looking at ways to reinvent the form and function of mobile devices… The Morph concept shows what might be possible.”
The device, which is non-functional, is intended to provide a conceptual showcase for future applications of nanotechnology in the realm of consumer electronics. The phone’s theoretical feature list would include the ability to bend into numerous shapes, so it can be worn around the wrist or held up to the face; transparent electronics, which would allow the device to be see-through yet functional; self-cleaning surfaces that can absorb solar energy to recharge the phone’s battery; and a wide range of fully integrated sensors. Nokia released a computer-generated video demonstrating the capabilities the Morph might have if it were a real mobile phone. The manufacturer believed that some of the device’s imagined features could appear in high-end devices by 2015.
On an iPhone, you touch on the digital keyboard and you know how the letter pops up and shows up bigger so youre making sure you are touching the correct letter? Thats Nokia Innovation

Some of its highlights will be:
Changing Design: Nanotechnology enables materials and components that are flexible, stretchable, transparent and remarkably strong. Fibril proteins are woven into a three-dimensional mesh that reinforces thin elastic structures. Using the same principle behind spider silk, this elasticity enables the device to literally change shapes and configure itself to adapt to the task at hand.
A folded design would fit easily in a pocket and could lend itself ergonomically to being used as a traditional handset. An unfolded larger design could display more detailed information, and incorporate input devices such as keyboards and touchpads. Even integrated electronics, from interconnects to sensors, and could share these flexible properties. Further, utilization of biodegradable materials might make production and recycling of devices easier and ecologically friendly.
Self-Cleaning: Nanotechnology also can be leveraged to create self-cleaning surfaces on mobile devices, ultimately reducing corrosion, wear and improving longevity. Nanostructured surfaces, such as Nanoflowers naturally repel water, dirt, and even fingerprints utilizing effects also seen in natural systems.
Solar Power Source: Nanotechnology holds out the possibility that the surface of a device will become a natural source of energy via a covering of Nanograss structures that harvest solar power. At the same time, new high energy density storage materials allow batteries to become smaller and thinner, while also quicker to recharge and able to endure more charging cycles.
Nokia Morph, Wrist-mode
Environment Sensation: Nanosensors would empower users to examine the environment around them in completely new ways, from analyzing air pollution to gaining insight into biochemical traces and processes. New capabilities might be as complex as helping us monitor evolving conditions in the quality of our surroundings, or as simple as knowing if the fruit we are about to enjoy should be washed before we eat it. Our ability to tune into our environment in these ways can help us make key decisions that guide our daily actions and ultimately can enhance our health.
Beneficial or Not?
In addition to the above-mentioned advantages, the integrated electronics shown in the Morph concept could cost less and include more functionality in a much smaller space, even as interfaces are simplified and usability is enhanced. All of these new capabilities will unleash new applications and services that will allow us to communicate and interact in unprecedented ways.
Will this phone be on the market soon?
Elements of Morph might be available in the market to integrate into handheld devices within 7 years, though initially only at the high-end. However, nanotechnology may one day lead to low-cost manufacturing solutions, and offers the possibility of integrating complex functionality at a low price.
Is Nokia working such technologies?
Nokia Research Center is working on technology up to seven years in the future and creating concepts that challenge conventional practices and spark new innovations.
How would mobile phones look like in the future?
Nanotechnology is just one key future research area for NRC, but an important one that will give us the freedom to design materials by manipulating atoms and molecules at the nanometer level. It hence has the potential of being both evolutionary and revolutionary when applied to mobile technology. A few years from now, phones will have new and innovative features different to the ones that are widely used today.

Nokia was number 1 for 14 years and still has the chance to be so again

The Future Of Business – ARTIFICIAL INTELLIGENCE

Technological Innovations have been the fundamental drivers of economic growth for more than 250 years. Most important of these are the steam engine, electricity, and the internal combustion engine. For example, The Internal Combustion Engine gave rise to cars, trucks, Airplanes, Chainsaws, Big-Box retailers, Shopping Centers, etc.
The most important general-purpose technology of our era is Artificial Intelligence.
Humans are more likely to work with the smart machine in the digital enterprises of the future than being ousted by them, but the possibility of economic and social disruption needs to be on the political agenda.
In the sphere of business, AI is poised to have a transformational impact, on the scale of earlier general- purpose technologies. The effects of AI will be magnified in the coming decade, as Manufacturing, Retailing, Entertainment, Education and Virtually every other Industry transform their core process and business models to take advantages of machine learning.
We see business plans liberally sprinkled with references to machine learning, neural nets and another form of technology. For example, simply calling a dating site AI-Powered, doesnt make it any more effective, but it might help in fundraising.
Artificial Intelligence is not about building a mind; its about the improvement of tools to solve problems.

Business Opportunity in Artificial Intelligence

Human x Process x Data = BUSINESS VALUE

HUMAN-
Improving the relationship between people and machines.AI will improve how we live and work as individuals and a society. People will be able to spend more time on creative work. People and AI will Co-evolve, improving peoples life and IQ. People who design, build and program them will also be smarter. As people will be smarter machine will also be smarter.
PROCESS-
AI technologies will reinvent processes, removing not only time and distance but also human limitations. There will be a number of tools that will help in Business Process. Such as,
-Which next step the employee should take,
-The decision of action to be taken or not.
-Select an employee for particular task depending on previous work data of employee.
-Root cause analysis of Business loss.
-Business improvement deals and many more

DATA-
Combining AI and machine learning with Data will make the process more efficient. We are in the era where computers are capable of programming themselves. They will update algorithm with data by themselves to evolve faster. Artificial Intelligence will use important data to improve business to large extent.
A year spent in Artificial Intelligence is enough to make one believe in God

Sophia ? A Humanoid Robot
A great Achievement towards Artificial Intelligence is the robot SOPHIA. Sophia was developed by a Hong Kong-based company Hanson Robotics. In October 2017, the robot became a Saudi Arabian citizen, the first robot to receive citizenship of any country. Cameras within Sophias eyes allow her to see. She can follow faces and recognize individuals. She is able to have a conversation using Alphabets Google Chrome voice recognition technology and SingularityNET, which powers her brain.Sophia was activated on April 19, 2015. She is modeled after actress Audrey Hepburn and is known for her humans like appearance and behavior. The information is shared in the cloud that helps Sophia to learn things. Many robots like Sophia are connected to a particular cloud, such that whatever Sophia will learn will get updated to cloud helping other robots to automatically learn.
Sophia has been interviewed in the same manner as a human. Some replies have been nonsensical and some impressed interviewers so much. In the future robots like Sophia might go to school, study, make art, Startup business and even have its own home and family. They might also serve Therapy, Healthcare, Education and Customer service.
Robots such as Sophia, if programmed for business then it can perform excellently for business growth reducing human effort and guiding executives successfully throughout a particular Business.
Artificial intelligence will be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted and it would give you the right thing. We are getting incrementally closer to that, and that is basically what we work on
There are some ways where AI can be used into business.
Assisted Intelligence is improving whatever people and organizations are already doing.
Augmented Intelligence is in the beginning stage now. It will enable companies to do things they couldnt do.
Autonomous Intelligence is still in developing process and is about creating and deploying machines that will work on their own.
While possible impacts of AI is very broad. For example, If a customer calls a company, company agents take them to a Series of the question so the customer can be added to various systems. It’s only when the agent can deal with the particular problem. If AI is introduced that can automatically complete the onboarding process, the experience becomes easier and efficient for both agent and computer.
What AI can do in future is beyond our imagination, but the base of future AI technology has already been started. There is number of AI tools that most of the Top Companies are using. Top 10 Artificial Intelligence tools are listed below :
1-Textio
2-Conversica
3-X.ai
4-Guru
5-Tamar
6-Digital Genius
7-Quill
8-Recorded Future
9-Intra pexion
10-DataRPM
Above listed Tools are efficient in different fields such as; Prediction technology, Sales assistant, Smart assistant (handles meeting request), Tracking tool (keep track on the calendar, track events, meetings, etc.), Data Integration, Natural Language Processing, Threat intelligence etc.

Computers will overtake humans with AI within the next 100 years. When that happens, we need to make sure the computers have GOALS ALIGNED WITH US

Introduction of Ruby

Ruby is an object-oriented programming language. It is a dynamic and open source programming language with a focus on simplicity and productivity and has elegant syntax that is natural to read and easy to write. Ruby also has a core class library with a rich & powerful API. It is inspired by other low level and object-oriented programming languages like Lisp, Smalltalk, and Perl and uses syntax that is easy for C and Java programmers to learn.

Ruby is designed to be simple, complete, extensible and portable. Developed mostly on Linux, ruby works across most platforms, such as most UNIX-based platforms, DOS, Windows, Macintosh, BeOS, and OS/2. Ruby is simple syntax and makes it readable by anyone who is familiar with any modern programming language.

History of Ruby???

Ruby developed by Yukihiro Matsumoto. He has said that Ruby was conceived in 1993. In a 1999 post to the ruby-talk mailing list, he describes some of his early ideas about the language.

Matsumoto describes the design of Ruby as being like a simple Lisp language at its core, with an object system like that of Smalltalk, blocks inspired by higher-order functions, and practical utility like that of Perl.

The name “Ruby” originated during an online chat session between Matsumoto and Keiju Ishitsuka on February 24, 1993, before any code had been written for the language. Initially, two names were proposed coral and “Ruby”. Matsumoto chose the latter in a later e-mail to Ishitsuka. Matsumoto later noted a factor in choosing the name “Ruby”. It was the birthstone of one of his colleagues.

Ruby was designed to streamline the tasks typically involved in programming for the web, i.e dynamically generating web pages, accessing databases and retrieving information from the web server and the users browser. The general purpose nature of ruby makes sit suitable for a wide range of programming called tasks just like Perl, Python & other general purpose languages. The key features of ruby focus on developer happiness ease to use, making it a good language for those just learning to program and for those to get more done with less code. It is pervasive object-oriented features also make it very intuitive.

Future of Ruby

Here is some reason that makes it important for you to start implementing Ruby:

Feature-filled language:- It is quite impressive, combining some really great features of all dynamic languages, taking ideas from the best, strongly-typed as well as static languages to blend them into an object-oriented paradigm to get maximum things done without writing a huge amount of code. The code is less but better-structured which makes editing, reusing, experimentation as well as iteration quite easy.

Open source:- This language is open source; not only that, the community around it, is helpful as well as thriving. The language itself is great with a really idealistic user experience, which makes it attractive to be used by new developers.

Code-based data model:- For Ruby on Rails, data model has to be defined with code. After the creation of initial data model, changes must be made with the help of scripts to manipulate the model.

Well documented:- The language is extremely well documented. The web contains a huge number of resources like high quality, effective and fun to follow video tutorials which are available both for pay as well as free. These are better than many books. There are huge support groups as well as communities which can help you in case you are facing some kind of problem.

Tool options:- The system is relatively simple with a good amount of IDEs for development. Additionally, the ecosystem of ruby has plenty of excellent tools which fulfill almost any need that they arise in the minds of a developer; on top of that most of those tools are open source or free. So this is a good place to work if you want an ecosystem that boasts of topflight tools support.

Rapid development model:- Convention and not configuration is what decides the development model of Ruby on Rails. This simply means that once you have learned to do things in the way that the language expects you to do, then many heavy lifting will be done by it on your behalf. Your work will be very quick, especially in case of many kinds of development tasks.

Advantages over PHP:- There are a number of advantages to using this platform instead of PHP. One of them is that developers do not simply like using it anymore; their impatience, as well as frustration, has grown with the language. PHP is very easy to use with lax rules which make it easy for youre to write bad codes. In fact, in case of alterations, additions or catching of random bugs, correcting everything becomes time-consuming as well as expensive.

4G Wi-Fi Revolution

Wi-Fi is an extremely powerful resource that connects people, business, and increasingly the Internet of Things. It is used in our homes, colleges, businesses, favorite cafes, buses, and many of our public spaces. However, it is also a hugely complex technology. Designing, deploying, and maintaining a successful WLAN is no easy task, the goal is to make that task easier for WLAN administrators of all skill levels through education, knowledge-sharing, and community participation etc.
Any malls, restaurants, hotel, and any other service station, Wi-Fi seems to be active. While supplemental downlink channels are 20MHZ, each the Wi-Fi channels could be 20MHz, 40MHz, 80MHz or even 160MHz. On many moments I had to switch off my Wi-Fi as the speed so poor & and go back to using 4G.
On my smartphone, most days I get 30/40mbps download speed and it works perfectly superb for all my needs. The only one reason that we would need higher speeds is to do a chain and use the laptop for work, watching a video, play games, listen to music, download anything that you want. Most of the people I know that they work with don’t require gigabit speed at the moment.
Once a user that is receiving high-speed data on their device using LTE-U / LAA creates a Wi-Fi hotspot, it may use the same 5GHZ channels as the once that the network is using for supplemental downlink. The user always asking why their download speed fall as soon as they switch WI-FI on.
The fact is that in a rural area & even general built-up areas, operates do not have to worry about the network being overloaded and use their licensed range. nobody is planning to place LTE-U / LAA in these areas. In the dense area and ultra areas, there are many more users, and many more wi-fi access points, ad-hoc wi-fi networks and many other sources of involvement.

Introduction to Blockchain

What is a blockchain?

A blockchain is a decentralized library and a way of doing transactions of the cryptocurrencies like bitcoin and ethereum. ?The blockchain is actually a continuously growing list of records called blocks and each block contains a cryptographic hash of the previous block, a timestamp and transaction data. This way, Cryptocurrencies like Bitcoin wallets can calculate their spendable balance and new transactions can be verified to be spending bitcoins that are actually owned by the spender.

History of Blockchain

The first blockchain was conceptualized and made by a person known as?Satoshi Nakamoto?in 2008. Satoshi Nakamoto is the person who evolved this concept and connected as the core component with cryptocurrency bitcoin where it serves as the public ledger for all transactions on the network. ?Through the use of a blockchain, bitcoin became the first digital currency to the solved double-spending problem without requiring a trusted authority.

Working of Blockchain?

Blockchain ensures that the money is transferred immediately. No banking channels are used and the money will be liquid able on major crypto exchanges. Transaction?done is a transfer of value between?Bitcoin wallets that gets included in the blockchain.?Bitcoin?wallets keep a secret piece of data called a private key or seed, which is used to sign?transactions, providing a mathematical proof that they have come from the owner of the wallet.

The blockchain implementations could be broadly categorized into two categories based on the requirements of business use cases:

• Public: A public blockchain is open and anyone can take part in executing the transactions on the network.
• Private: A private blockchain is closed and is restricted to invite-based participation.

How is blockchain helpful?

The blockchain is now integrated into multiple areas solely becoming the next big thing

• Decentralization of the technology.
• Blockchain records and validate each and every transaction made, which makes it secure and reliable.
• All the transactions made are authorized by miners, which makes the transactions immutable and prevent it from the threat of hacking.
• Blockchain technology avoids the need of any third-party or any of the central authority for peer-to-peer transactions.

Future of blockchain

Blockchain will be adopted by central banks, industries, governments and cryptographically secured currencies will become widely used. As blockchain minimizes the cyber risk it will be helpful in future as in now. Blockchain technology could be used to distribute social welfare in developing nations also.

Smart Home Technology

Smart-Home Technology benefits the home-owners to monitor their Houses remotely, countering dangers such as a forgotten coffee maker left on or a front door left unlocked.

Smart homes are also beneficial for the elderly, providing monitoring that can help seniors to remain at home comfortably and safely, rather than moving to a nursing home or requiring 24/7 home care.

Unsurprisingly, smart homes can accommodate user preferences. For example, as soon as you arrive home, your garage door will open, the lights will go on, the fireplace will roar and your favorite tunes will start playing on your smart speakers.

Home automation also helps consumers improve efficiency. Instead of leaving the air conditioning on all day, a smart home system can learn your behaviors and make sure the house is cooled down by the time you arrive home from work. The same goes for appliances. And with a smart irrigation system, your lawn will only be watered when needed and with the exact amount of water necessary. With home automation, energy, water and other resources are used more efficiently, which helps save both natural resources and money for the consumer.

However, home automation systems have struggled to become mainstream, in part due to their technical nature. A drawback of smart homes is their perceived complexity; some people have difficulty with technology or will give up on it with the first annoyance. Smart home manufacturers and alliances are working on reducing complexity and improving the user experience to make it enjoyable and beneficial for users of all types and technical levels.

For home automation systems to be truly effective, devices must be inter-operable regardless of who manufactured them, using the same protocol or, at least, complementary ones. As it is such a nascent market, there is no gold standard for home automation yet. However, standard alliances are partnering with manufacturers and protocols to ensure inter-operability and a seamless user experience.

“Intelligence is the ability to adapt to change.”

–Stephan Hawking

How smart homes work/smart home implementation

Newly built homes are often constructed with smart home infrastructure in place. Older homes, on the other hand, can be retrofitted with smart technologies. While many smart home systems still run on X10 or Insteon, Bluetooth and Wi-Fi have grown in popularity.

Zigbee and Z-Wave are two of the most common home automation communications protocols in use today. Both mesh network technologies, they use short-range, low-power radio signals to connect smart home systems. Though both target the same smart home applications, Z-Wave has a range of 30 meters to Zigbee’s 10 meters, with Zigbee often perceived as the more complex of the two. Zigbee chips are available from multiple companies, while Z-Wave chips are only available from Sigma Designs.

A smart home is not disparate smart devices and appliances, but ones that work together to create a remotely controllable network. All devices are controlled by a master home automation controller, often called a smart home hub. The smart home hub is a hardware device that acts as the central point of the smart home system and is able to sense, process data and communicate wirelessly. It combines all of the disparate apps into a single smart home app that can be controlled remotely by homeowners. Examples of smart home hubs include Amazon Echo, Google Home, Insteon Hub Pro, Samsung SmartThings and Wink Hub, among others.

Some smart home systems can be created from scratch, for example, using a Raspberry Pi or other prototyping board. Others can be purchased as a bundled?smart home kit also known as a smart home platform that contains the pieces needed to start a home automation project.

In simple smart home scenarios, events can be timed or triggered. Timed events are based on a clock, for example, lowering the blinds at 6:00 p.m., while triggered events depend on actions in the automated system; for example, when the owner’s smartphone approaches the door, the smart lock unlocks and the smart lights go on.

It involves the control and automation of lighting, heating (such as smart thermostats), ventilation, air conditioning (HVAC), and security (such as smart locks), as well as home appliances such as washer/dryers, ovens or refrigerators/freezers.WiFi is often used for remote monitoring and control. Home devices, when remotely monitored and controlled via the Internet, are an important constituent of the Internet of Things. Modern systems generally consist of switches and sensors connected to a central hub sometimes called a “gateway” from which the system is controlled with a user interface that is interacted either with a wall-mounted terminal, mobile phone software,tablet computer or a web interface, often but not always via Internet cloud services.

While there are many competing vendors, there are very few worldwide accepted industry standards and the smart home space is heavily fragmented. Manufacturers often prevent independent implementations by withholding documentation and by litigation.

Artificial Intelligence – decoding your scenes

A new Artificial Intelligence system that can decode the human mind and interpret what a person is seeing by analyzing brain scans. The advance could aid efforts to improve artificial intelligence (AI) and lead to new insights into brain function. Critical to the research is a type of algorithm called a convolutional neural network, which has been instrumental in enabling computers and smartphones to recognize faces and objects. Convolutional neural networks, a form of “deep-learning” algorithm, have been used to study how the brain processes static images and other visual stimuli.

This is the first time such an approach has been used to see how the brain processes movies of natural scenes – a step towards decoding the brain while people are trying to make sense of complex and dynamic visual surroundings. The researchers acquired 11.5 hours of Functional magnetic resonance imaging (FMRI) data from each of the three women subjects watching 972 video clips, including those showing people or animals in action and nature scenes. The data was used to train the system to predict the activity in the brain’s visual cortex while the subjects were watching the videos. The model was then used to decode FMRI data from the subjects to reconstruct the videos, even ones the model had never watched before. The model was able to accurately decode the FMRI data into specific image categories. Actual video images were then presented side-by-side with the computer’s interpretation of what the person’s brain saw based on FMRI data. By doing that, we can see how the brain divides a visual scene into pieces, and re-assembles the pieces into a full understanding of the visual scene. This is how the actual decoding of the human brain is stimulated.

Eye Ring

EyeRing is a wearable interface that allows using a pointing gesture or touching to access digital information about objects and the world. The idea of a micro camera worn as a ring on the index finger started as an experimental assistive technology for visually impaired persons, however soon enough we realized the potential for assistive interaction throughout the usability spectrum to children and visually-able adults as well.With a button on the side, which can be pushed with the thumb, the ring takes a picture or a video that is sent wirelessly to a mobile.

A computation element embodied as a mobile phone is in turn accompanied by the earpiece for information loopback. The finger-worn device is autonomous and wireless. A single button initiates the interaction. Information transferred to the phone is processed, and the results are transmitted to the headset for the user to hear.

Several videos about EyeRing have been made, one of which shows a visually impaired person making his way in a retail clothing environment where he is touching t-shirts on a rack, as he is trying to find his preferred color and size and he is trying to learn the price. He uses his EyeRing finger to point to a shirt to hear that it is color gray and he points to the pricetag to find out how much the shirt costs.

The researchers note that a user needs to pair the finger-worn device with the mobile phone application only once. Henceforth a Bluetooth connection will be automatically established when both are running.

The Android application on the mobile phone analyzes the image using the teams computer vision engine. The type of analysis and response depends on the pre-set mode, for example, color, distance, or currency. Upon analyzing the image data, the Android application uses a Text to Speech module to read out the information though a headset, according to the researchers.

The MIT group behind EyeRing are Suranga Nanayakkara, visiting faculty in the Fluid Interfaces group at MIT Media Lab and also a professor at Singapore University of Technology and Design; Roy Shilkrot, a first year doctoral student in the group; and Patricia Maes, associate professor and founder of the Media Labs Fluid Interfaces group.

The EyeRing in concept is promising but the team expects the prototype to evolve with more iterations to come. They are now at the stage where they want to prove it is a viable solution yet seek to make it better. The EyeRing creators say that their work is still very much a work in progress. The current implementation uses a TTL Serial JPEG Camera, 16 MHz AVR processor, Bluetooth module, 3.7V polymer Lithium-ion battery, 3.3V regulator, and a push button switch. They also look forward to a device that can carry advanced capabilities such as real-time video feed from the camera, higher computational power, and additional sensors like gyroscopes and a microphone. These capabilities are in development for the next prototype of EyeRing.

A Finger-worn Assistant The desire to replace an impaired human visual sense or augment a healthy one had a strong influence on the design and rationale behind EyeRing. To that end, we propose a system composed of a finger-worn device with an embedded camera, a computing element embodied as a mobile phone, and an earpiece for audio feedback. The finger-worn device is autonomous and wireless, and includes a single button to initiate the interaction. Information from the device is transferred to the computation element where it is processed, and the results are transmitted to the headset for the user to hear. Typically, a user would single click the pushbutton switch on the side of the ring using his thumb. At that moment, a snapshot is taken from the camera and the image is transferred via Bluetooth to the mobile phone. An Android application on the mobile phone then analyzes the image using our computer vision engine. Upon analyzing the image data, the Android application uses a Text-to-Speech module to read out the information though a hands-free head set. Users could change the preset mode by double-clicking the pushbutton and giving the system a brief verbal commands such as distance, color, currency, etc

Big Data

By Author – Shubhangi Agarwal

Big data is non-traditional strategy and technology used to organize, process, and gather insights from large datasets. While the problem of working with data that exceeds the computing power or storage of a single computer is not new, the pervasiveness, scale, and value of this type of computing have greatly expanded in recent years.

In this article, we will talk about big data on a fundamental level and define common concepts you might come across while researching the subject. We will also take a high-level look at some of the processes and technologies currently being used in this space.

What Is Big Data?
An exact definition of “big data” is difficult to nail down because projects, vendors, practitioners, and business professionals use it quite differently. With that in mind, generally speaking, big data is:

Large Datasets: The category of computing strategies and technologies that are used to handle large datasets
In this context, “large dataset” means a dataset too large to reasonably process or store with traditional tooling or on a single computer. This means that the common scale of big datasets is constantly shifting and may vary significantly from organization to organization.

Why Are Big Data Systems Different?
The basic requirements for working with big data are the same as the requirements for working with datasets of any size. However, the massive scale, the speed of ingesting and processing, and the characteristics of the data that must be dealt with at each stage of the process present significant new challenges when designing solutions. The goal of most big data systems is to surface insights and connections from large volumes of heterogeneous data that would not be possible using conventional methods.

Big Data Analytics:

Big Data Analytics is one of the great new frontiers of IT. Data is exploding so fast and the promise of deeper insights is so compelling that IT managers are highly motivated to turn big data into an asset they can manage and exploit for their organizations. Emerging technologies such as the Hadoop framework and MapReduce offer new and exciting ways to process and transform big data – defined as complex, unstructured, or large amounts of data – into meaningful insights, but also require IT to deploy infrastructure differently to support the distributed processing requirements and real-time demands of big data analytics. Big data is data sets that are so voluminous and complex that traditional data processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are five dimensions to big data known as Volume, Variety, Velocity and the recently added Veracity and Value.

Lately, the term “Big Data” tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analysis methods that extract value from data, and seldom to a particular size of data set. “There is little doubt that the quantities of data now available are indeed large, but thats not the most relevant characteristic of this new data ecosystem.” Analysis of data sets can find new correlations to “spot business trends, prevent diseases, combat crime and so on “Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet search, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research. You can take data from any source and analyze it to find answers that enable

1. Cost Reductions
2. Time reductions
3. New product development and optimized offerings
4. Smart decision making

The importance of big data doesnt revolve around how much data you have, but what you do with it.

Jain Software also provides projects based on Big Data. You can directly contact to Jain Software by calling on +91-771-4700-300 or you can also Email us on Global@Jain.software.