The Tangible Benefits of Blockchain in Healthcare A few years ago, we witnessed a wave of interest and investment targeted at Blockchain Applications for the financial administrations. As the years pass, that same momentum is carrying blockchain technology beyond the boundaries of financial services driving forward another industry — . Healthcare It won’t be wrong to say healthcare space has some of the smartest and well-educated people in the world. Still, if you compare the industry to two decades ago, you’ll notice that hospitals, overall, still function pretty much the same way. However, saying that no innovations have been made in the industry would be wrong. There are enough medicines, machines, equipment and what not? Despite having everything, the people look at the industry with a suspicious face. They simply don’t trust as many times they fall as a prey to their gains. Something was needed, and the blockchain arrived. Let’s find out how blockchain can/is changing the healthcare standards! Blockchain Era Blockchain Era has already begun. Considering the fast progress in the development of efficient healthcare record systems, medical examination systems, and wearable devices implementing AI (Artificial Intelligence), cryptography will be a significant part of the way hospitals work. However, there are a few improvements needed for seamless blockchain adoption across the entire medical industry. So, what are the advantages of Blockchain Technology in Healthcare? Data Provenance and Integrity Secure data sharing methods are crucial to ensure proper medical services. This is where it can turn out to be very useful since one of its primary advantages is data integrity. Once information is recorded and encrypted on a blockchain, it is impossible to change or remove it. One of the approaches, blockchain uses allows for secure data recording and sharing is anchoring the data to the public blockchain. This approach incorporates generating proof of data integrity, using which, users can verify their data timestamp themselves without relying on third parties. More Secured Standards Yes, Blockchain offers a more secure way of protecting data. The nascent technology allows for the usage of new standards in managing PHI, insurance claims, and medical records. It even excludes intermediation in data sharing, while using the blockchain Data Transparency Needless to say, blockchain offers a decentralized register of ownership by recording transactions made through the system. It stores all the details, be it the formation of a data block or any digits related to a particular transaction. Each device, as part of the system, stores a copy of this block as a proof of authenticity. The system, before making a transaction, confirms whether a blockchain version is matching with the other in the network or not. Therefore, each blockchain user can easily identify the owner of a particular data block at any point in time. Healthcare Sector can leverage Blockchain to Contain Ever-Increasing Cost According to the Journal published in 2017 by the American Medical Association, healthcare spending in the USA alone witnessed a rise of USD 1 Trillion from 1996 to 2015. The main reason for the increased cost is due to the untapped monopoly of healthcare service providers. There is no transparency in the operations of the major health care institutes as well as the drug suppliers, who exploit the loopholes in the regulations and the patients have to bear the burnt. With the help of blockchain, the healthcare sector can see the empowerment of the patients, Health App developers, medical service providers, and equipment suppliers. Many new projects have come up in recent times to help the healthcare industry become more feasible for everyone. Be it Nebula genomics or the new entrant’s CURE, the blockchain powered healthcare solutions are on the rise. While Nebula is focused on gene sequencing and providing the data to customers under $1,00, CURE is focused on improving the infrastructure and bringing the widely disintegrated health care industry under the umbrella of decentralization which would lead to greater transparency and thus better healthcare at affordable prices.

Blockchain in Healthcare

Do you face difficulties in providing more accurate reporting and analysis?Are you unable to identify the latest trends, market conditions and respond quickly to change? Having problems in optimizing internal business process and driving decisions? What about obtaining important business reports? Is it challenging to convert raw data into actionable insights? If yes, then this blog is definitely for you! Well, if you are using Excel, it may be difficult to work with the large data which ultimately creates roadblocks for data-driven enterprises. And if you are using any other tools which have fewer competencies, it may be difficult to harness data for driving the business decision. So, how to make an informed decision with the use of data? Well, in such a scenario, the powerful Business Intelligence system can come to rescue. Gartner has recognized Microsoft as a leader in Analytics and BI platforms for 11 consecutive years. Why do organizations prefer to use Power BI? Before going in-depth let’s start with basics. What Is Power BI? is a cloud-based business analytics service by Microsoft enabling anyone to visualize and analyze data with greater speed, efficiency, and high understanding. Power BI Moreover Power BI:- Is an interactive data visualization tool which makes it easy to share data across the organization. Delivers valuable insights to make quick and informed decisions Transforms raw and unprocessed data into insightful and stunning visuals for officials to communicate and understand the business better. Provides access to the customized reports and interactive dashboards which help to have a complete 360-degree view of the business. Companies like Dell, Wipro, Metro Bank PLC, Edsby, Oraylis, Vizion solutions and many more are already using Power BI to grow their businesses. Have a look at this video <a href="https://medium.com/media/be842c09282afcb9593226e2f9e1dab9/href">https://medium.com/media/be842c09282afcb9593226e2f9e1dab9/href</a> Who Can Use Power BI? It can be used by to- create interactive data visualization from multiple data sources- deliver real-time insights across the organization Busines Analysts and IT personnel It can be used by to- simplify management- achieve compliance- get accurate and reliable reports- detect anomalies- streamline the workflow Enterprises can use to automate application lifecycle. Moreover, they can- Embed stunning visuals in apps, portals, websites, etc.- Develop and test visuals with open-source JavaScript libraries like D3, jQuery, and more. Developers Power BI REST API But, How Professionals Can Have Access To This Tool? Well, there are three ways to use Power BI : You can connect to data through multiple data sources, combine them into a data model and create compelling visuals. Power BI Desktop : It is a cloud-based, online service for collaboration with the teams and corporations. The reports created in Power BI desktop can be shared in Power BI service, where you can continue modifying them. You can also create dashboards based on your reports in Power BI service. Power BI Service : Power BI offers a set of mobile apps for iOS, Android and Windows 10 mobile devices, where you can view, interact and securely access reports, dashboards, and other data on the go — all in one app. Power BI Mobile Apps To be precise, the desktop is for creating content; the Service is for sharing the content; the mobile apps are for getting insights anywhere on any device. Image Credit: https://docs.microsoft.com To understand in a better way, you need to know the . Power BI architecture But before that, you must be aware of . Power BI components where each component plays an important part in Power BI solution. Power BI is a combination of components Overview Of Power BI’s Components Power BI offers several components that enable users to create and share data reports which include: : Facilitates data search capabilities and transform & merge data from multiple data sources. Power Query : In-memory data modeling component which enables highly-compressed data storage and extremely fast aggregation and calculation. Power Pivot : An interactive visualization tool which enables drag-and-drop interface to the users. Power View : a 3D geospatial data visualization tool Power Map : A natural language question and answering engine Power Q&A : By using this component you get periodic data refreshers and data feeds. Data Management Gateway : User can easily discover and reuse queries using Data Catalog. Metadata can be facilitated for search functionality. Data Catalog Let’s have an overview of the Power BI architecture Power BI Architecture: Sharing And Deploying Files For Power BI solution Connecting Data Power BI can connect data from a variety of data sources. There are two primary options for sourcing data: (1) Importing the data to power BI (2) Using the Direct Query. If you are importing a file to Power BI, it limits the data sets to 1 GB, but if the size is more than 1 GB, you can use Direct Query (you can build reports based on extremely large datasets). Transforming The Data Once the data is connected, you can transform it as per your needs. Transforming data includes changing the name of columns or tables, modifying the text to numbers, removing rows, adjusting rows, headers and much more. There is a number of available to shape your data. transformation options Reporting And Publishing Here reports are created which represent different findings and insights from that dataset. Basically, it is in the form of a , , , etc. It is highly interactive and customizable; which updates as the underlying data changes. After creating a report, you can publish them to Power BI services. graph pie-charts slicers Creating A Dashboard A power BI dashboard consists of a single page, often called canvas that tells a story through visualizations. You can create a dashboard by pinning the individual element or live report page. As it is limited to one page, a well-designed dashboard contains only the overview. Power BI Experience Your Data. Any Data, Any Way, Any Where Power BI: How It Can Be A Game-Changer For Enterprise? Gathers Data From All The Data Sources Power BI makes it easy to fetch data from the cloud services including Microsoft Dynamics, Salesforce, Google Analytics, Zen desk, Facebook and more. No matter where your data is available, power BI enables to shape the data from different sources; enabling you to create visual reports that you can easily share with others. Image Credit: https://powerbi.microsoft.com/en-us/desktop Rich Power BI Dashboards To Make Informed Decisions With Power BI, you can create personalized dashboards enabling it to monitor the business needs in real-time. It makes easy to solve the problems as they occur and provides a holistic view of the business empowering the teams to make informed decisions. You can easily embed the dashboards and BI reports in the applications to provide the unified user experience. Image Credit: https://community.powerbi.com Ask Questions- Get Answers In Real Time How about asking queries in natural language and getting answers in stunning interactive visualization? Well, with Power BI, you can ask a question and get an answer in the form of right chart and right graph. It has auto-search functionality which lets you scan the hidden insights in seconds. It stores all the information in a centralized location and makes interaction with fast and quick data. Image Credit: https://powerbicdn.azureedge.net Tell Stories With Interactive Reports The timeline storyteller is one of the trending custom visuals in Power BI that convey information and details that vary over time. It presents data in the form of circle, grids, spirals or any custom shapes, or even a simple linear list. It also has layouts, different scale representation like logarithmic and relative, controls for filtering, highlighting and annotation. You can decide how you want your data to be represented, scaled and designed in a timeline. Image Credit: https://timelinestoryteller.com Make Business Decisions From Anywhere Power BI offers native BI mobile apps for Android, iOS and Windows where anyone can securely access and view live Power BI dashboards and reports on any device. It is easy to access on-premise data stored in SQL server or data in the cloud; no matter wherever you are. With Power BI Mobile App You Can: View live dashboards and reports on a mobile device Directly share reports and dashboards from the app, which helps to keep the team on the same page Get push notifications for personal data alerts to your device Image Credit: https://powerbicdn.azureedge.net Other Perks Of Power BI is needed to implement Power BI; No technical support is required Little assistance Service provided by Microsoft and has tight integration with its other business tools such as Office 365, Microsoft Excel, Azure, and SQL Server with your existing business environment Integrates easily Helps you to set up automatic data refresh Users can on social media posts and emails, making them accessible to whoever may be interested in them publish their visualizations as Power BI can connect to the software like Spark, Hadoop, etc. and combine the data into a centralized dashboard Data is more accessible No memory and speed constraints Provides with new features and functions frequent updates The has grown significantly over the years community Looking At The Other Side Although Power BI shapes the business world and offers numerous advantages but with every advantage, there is always a corresponding disadvantage. Dashboards and reports can only be shared with users who have the same email domains or email domains listed with your Office 365 tenant. The list of Power BI components is very long and sometimes it becomes difficult to understand which component is required. Microsoft Power BI doesn’t allow you to build scheduled reports, personalized user views, personalized notifications, personalized security views Not all reports can be shared with colleagues as it needs a pro-license to work collaboratively Although, Power BI has few disadvantages; its unique features and functionalities are aligned with the business decisions. Thus it is loved by most of the organizations. How Power BI Is Different From Other BI Tools? To simplify this, let’s compare Power BI with Tableau and QlikView which are the industry-leading BI tools. Tableau doesn’t have a free version. The Personal version of Tableau cost $420 and the Professional version will cost you $840 annually. Whereas, the PRO version of Power BI will only $120 but the free version itself covers a lot more than Tableau. QlikView doesn’t support Predictive Analytics which makes it difficult to make data-based decisions whereas Power BI can help you to create predictive models and with the content pack of Power BI, you can visualize the predictive results. The Future Of Power BI The future belongs to the solution that is Flexible Affordable Innovative Integrates with other solution hassle-free Easy to configure and can be viewed anywhere on any device. Most importantly, it should have the features and functionalities that enable to make quick business decisions. And Power BI fits all these criteria. So, of-course future holds the best for Power BI and it is here to stay for many more years ahead. What is your opinion? Do you think businesses should use Power BI? Please express your opinion below or connect with us to know more about Power BI. : This post was previously published on our blog: Note here <a href="https://medium.com/media/3c851dac986ab6dbb2d1aaa91205a8eb/href">https://medium.com/media/3c851dac986ab6dbb2d1aaa91205a8eb/href</a>

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Microsoft Power BI In 10 Minutes [Quick Guide]

As a beginner, jumping into a new machine learning project can be overwhelming. The whole process starts with picking a data set, and second of all, study the data set in order to find out which machine learning algorithm class or type will fit best on the set of data. Here are some tips from experts on how to get started: Find a modestly sized data set which is relatively easy to analyze. Good places to search are the and . UCI ML Repository Kaggle Experiment with the data set. To get a good “feeling” with the data set, you can run several top machine learning algorithms on the data to see how it behaves and what performance each algorithm achieves. Pick the algorithm with the best performance and tune it accordingly. Ok, now we are packed with a couple of general tips to get started on your ML project, let’s take a look at 10 interesting examples that will teach you how to use ML algorithms, tune them, but also how to analyze the given data. 1. Supervised Machine Learning w/ Iris Flowers Classification The Iris Flowers dataset is seen as the “Hello World” of ML as it’s the classic example of classification. This dataset offers a great introduction as it requires you to learn how to explore data and how to load it. The benefit of this dataset is that is small to load into your memory (150 rows) and it has only four properties: Petal length, Petal width, Sepal length, and Sepal width. The project involves the identification of four different species of Iris flowers using the four known properties. The dataset allows you to use a supervised learning algorithm as the data is labeled whereas unsupervised means that we are looking for hidden structures in the data as the data is unlabeled. We are using here. This means that we should be able to predict accurately to which class a data point belongs. Classification Type? Multiclass Classification : Classify flowers among three species based on the properties of the flower: dimensions of petals and sepals. Goal To solving the problem can be found . Download: Iris Flowers Dataset Full guide: here 2. Transactions Predictions w/ GNY Machine Learning has been a trending topic for years now but many popular services are inaccessible for most developers primarily because of cost. A group called is solving that with a decentralize their powerful machine learning platform that will be free to download and install. The machine learning platform is actually embedded within a blockchain so a user’s data is protected from potential hacks. GNY The team has released a demo that shows how this platform can predict groups of retail transactions through their powerful neural net, and a fully downloadable and customizable version of the platform is launching this Summer. GNY will have a library of selectable machine learning code sets that can be selected depending on the requirements of each individual and can be applied to their sidechain (as GNY will use Lisk’s sidechain technology). Almost all businesses are looking for an affordable way to unlock hidden value in their data, but not if it exposes them to security risks. The inherent structure of a blockchain helps to control data consistency and allow you to remain in control over your data. Why is this so important? Performance increases as the validation can already be started for the subsequent block while the previous block is still active. Validation includes checking if the user has sufficient balance. Only for the wrongly predicted transactions, this work needs to be redone. This demo is a fun starter project for people who want to predict simple numbers and the full platform launching this Summer should provide developers with much more power and customization. A good data set can be found at for predicting repeat buyers using purchase history. MLWave : Predict future transactions based on spending history. Goal 3. Sentiment Analysis w/ Twitter One interesting application of machine learning is sentiment analysis. Sentiment analysis has seen a major breakthrough with the rise of cryptocurrencies. Many have tried to build trading bots that incorporate sentiment analysis to make better trading decisions. Image by AnalyticsVidhya.com There are many other platforms that can be used for sentiment analysis like Reddit, Facebook, or LinkedIn as they all offer easy-to-use APIs for retrieving data. However, due to the consistent format of the data on the Twitter platform, this is the preferred data for machine learning. It is also much easier to pre-process as the tweets mainly consist of text, URLs, and hashtags. The Twitter API knows many API libraries that can be used for integrating into your project. The wrapper for Python can be installed via pip with !pip install python-twitter . However, watch out when using the API as excessive usage can get you blacklisted. Therefore, Twitter provides on how to avoid being rate limited. If you require real-time data, the Twitter streaming API can save you. guidelines A couple of fun examples to analyze: Sentiment surrounding a newly released movie and compare it with reviews on IMDB and other rating websites. Sentiment surrounding a particular election or any other trending political topic. Predict the future direction of the price of a top 50 cryptocurrency based on the sentiments of its tweets. : A sentiment analyzer learns the various sentiments behind a piece of content. This task helps you think about designing various models to label a tweet as positive or negative. In a later phase, we can label tweets in a more nuanced way like ‘neutral’, ‘angry’, ‘optimistic’, … Goal of all data sets. Github Overview: Twitter-related 4. Recommender Systems w/ Movielens Recommender systems are one of the most successful and widespread applications of machine learning technologies in business. You find recommender systems everywhere in your daily life. For example, when watching Youtube videos, the Youtube algorithm will propose you recommended videos based on your watching habits but also key insights they gained on watching patterns from running ML algorithms on the watching behavior of people all across the world. We can find two types of algorithms for recommender systems: Content-based: As the label says, it looks for similarity in content. Collaborative filtering methods: This method looks for similarity in interactions. An example of an interaction can be looking at the ratings of a user and comparing them with others to find similar behavior/likings. The below picture illustrates this. Source: about Machine Learning Algos for Recommender Systems Recombee Currently, Movielens provides one of the most popular data sets for movie ratings which is an ideal dataset for beginners to experiment with. : Predict which movies users will like based on their ratings. Goal Website: Grouplens.org provides a tutorial for building a simple Recommender System in Python. Tutorial: Towardsdatascience 5. Stock Price Predictions w/ Quandl Stock prices predictor is a system that learns about the performance of a company and predicts future stock prices. The tricky thing with stock price predictions is that many types and sources of data can be used: Volatility indices Historical prices Global macroeconomic indicators Fundamental analysis Technical analysis using indicators The benefit of analyzing the stock market is that it has shorter feedback cycles which makes it easier to validate your predictions. If you don’t know market cycles, I suggest to to understand how a typical cycle looks like. read up about this topic Source: about Psychology of Market Cycles The FifthPerson To start off easy, you can pick up a simple machine learning example where we predict the 6-month price movement based on fundamental indicators from an organization his quarterly report. : Predict future price using fundamental and technical indicators. Goal tock market datasets from Quandl.com or Quantoplan.com. Download: S <a href="https://medium.com/media/3c851dac986ab6dbb2d1aaa91205a8eb/href">https://medium.com/media/3c851dac986ab6dbb2d1aaa91205a8eb/href</a>

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Top 5 Machine Learning Projects for Beginners

In the area of technology research, Artificial intelligence is one of the hottest trends. In fact, many startups have already made progress in areas like natural language, neural networks, AI, machine learning and image processing. Many other big companies like Google, Microsoft, IBM, Amazon and Facebook are heavily investing in their own R&D. Hence, it is no surprise now AI applications are increasingly useful for small as well as large businesses in 2019. In this blog, I have listed top 10 open source AI Technologies for small businesses and startups. 1) Apache SystemML It is the machine learning technology created at IBM that has reached one of the top-level project levels in the Apache Software Foundation and is a flexible and scalable machine learning system. The important features are: For machine learning, it is considered as SQL. You can run on Apache Spark, where your line of data is automatically adjusted per line, determining if your code should run on the controller or on an Apache Spark group. Future SystemML developments include additional deep learning with GPU capabilities, such as importing and executing neural network architectures and previously trained training models. 2) OpenNN It is an open source class library written in C ++, which implements neural networks. It has been designed to learn from data sets and mathematical models. It provides an effective framework for the research and development of algorithms and applications of neural networks. OpenNN implements data mining methods as a set of functions. These can be incorporated into other software tools using an application programming interface (API) for the interaction between the software tool and the tasks of predictive analysis. The main advantage of OpenNN is its high performance. It is developed in C ++ for better memory management and higher processing speed and implements the parallelization of the CPU using OpenMP and acceleration of GPU with CUDA. Datasets and Mathematical Models are given below: -> Function regression -> Optimal control -> Time series prediction -> Inverse problems 3) TensorFlow It is an open source software library, which was originally developed by researchers and engineers working in the Google Brain Team. TensorFlow is for numerical calculation using data flow graphs. The nodes in the graph represent mathematical operations, while the edges of the graph represent the arrays of multidimensional data (tensors) communicated between them. The flexible architecture allows you to implement computing on one or more CPUs or GPUs on a desktop, server or mobile device with a single API. TensorFlow provides multiple APIs. The lowest level API, TensorFlow Core, gives you complete programming control. Top-level APIs are built on TensorFlow Core. These higher level APIs are usually easier to learn and use than TensorFlow Core. In addition, higher level APIs make repetitive tasks easier and more consistent between different users. A high-level API like tf.estimator helps you manage data sets, estimators, training and inference. Some of the apps using Tensorflow are given below: -> SmartReply -> RankBrain -> On-Device Computer Vision -> Inception Image Classification Model -> Massively Multitask Networks 4) Neuroph It is an object-oriented neural network framework written in Java. Neuroph can be used to create and train neural networks in Java programs. Neuroph provides a library of Java classes and the easyNeurons GUI tool to create and train neural networks. Neuroph is a framework of light Java neural network to develop architectures of common neural networks. It contains an open source and well designed Java library with a small number of basic classes that correspond to the basic concepts of NN. It also has a nice GUI neural network editor to quickly create Java neural network components. It has been published as open source under the Apache 2.0 license. Neuroph supports common neural network architectures, such as the multilayer perceptron with Backpropagation, Kohonen and Hopfield networks. All of these classes can be expanded and customized to create custom neural networks and learning rules. Neuroph has built-in support for image recognition. 5) OpenCog OpenCog is a diverse set of cognitive algorithms, each one incorporating its own innovations, but what makes the overall architecture powerful is its careful adherence to the principle of cognitive synergy. OpenCog was originally based on the 2008 release of Novateen LLC’s proprietary “Novamente Cognition Engine” (NCE) source code. The original NCE code is described in the PLN book (ref. Below). The continuous development of OpenCog is supported by the General Artificial Intelligence Research Institute (AGIRI), the Google Summer of Code project and others. 6) Caffe It is a deep learning framework which is developed with speed, modularity and expression factors keeping in mind. The Caffe project was initiated at UC Berkeley and then developed by Berkeley AI Research (BAIR) and community partners. It focuses mainly on convolutional networks for artificial vision applications. Caffe is a solid and popular choice for tasks related to computer vision, and you can download many successful models made by Caffe users from the Caffe Model Zoo (link below) to use immediately. Some of its major advantages are given below: -> Extensible code -> Speed -> Expressive architecture -> Large Community 7) Torch It is an open source machine learning library, a scientific computing framework and a scripting language based on the Lua programming language. The torch is used by the AI Research Group of Facebook, IBM, Yandex and the Idiap Research Institute. It has been extended for use on Android and iOS and has been used to build hardware implementations for data flows such as those found in neural networks. PyTorch is an open source machine learning library for Python, used for applications such as natural language processing. It is developed mainly by the artificial intelligence research group of Facebook, and the software “Pyro” of Uber for probabilistic programming is based on it. Some of its features are listed below: -> Fast and efficient GPU support -> powerful N-dimensional array -> numeric optimization routines -> Embeddable with ports to iOS and Android backends 8) Mycroft It is the first open source wizard in the world and can be used in anything from a scientific project to an enterprise software application. It can run anywhere on a desktop computer, in a car or on a Raspberry Pi. This is an open source software that can be remixed, extended and improved freely. Mycroft can be used in anything from a scientific project to an enterprise software application. 9) Apache Mahout It is the framework of distributed linear algebra and the mathematically expressive Scala DSL. Mahout was designed to allow mathematicians, statisticians and data scientists to quickly implement their own algorithms. Apache Spark is the recommended distributed backend or can be extended to other distributed backends. It has great support for multiple distributed Backends (including Apache Spark). Apache Mahout currently implements areas that include collaborative filtering (CF), clustering, and categorization. Some of its useful features are listed below: -> Matrix and vector libraries -> Taste CF -> Distributed fitness function capabilities -> Clustering implementations 10) Deeplearning4j It is a deep open source and distributed learning library written for Java and Scala. Its objective is to be cutting-edge plug and play and more conventions than configurations, which allows the rapid creation of prototypes for non-researchers. DL4J is customizable to scale. You can import neural network models from most major frameworks through Keras, including TensorFlow, Caffe and Theano, and close the gap between the Python ecosystem and the JVM with a set of tools for data scientists, data engineers and DevOps. Keras is used as the Python API of Deeplearning4j. It’s major features are listed below: -> Scalable on Hadoop -> Java, Scala and Python APIs -> GPU support for scaling on AWS -> Micro-service architecture Conclusion: So far we have seen some major and new open source AI Technologies for startups. Because of these rapid technological advancements, arrival of new technologies & massive amounts of talent and resources are dedicated to accelerating the growth of the technologies. Hence, implementing project using various open source AI technologies can assist you to make a good decision to get success in the future.

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10 Top Open Source AI Technologies For Startups

All the children in the world have the right to be educated. No matter where they come from, what their family background is, it is a must that they should be taught and educated. A child can have different types of mentalities. Even though most of the children are categorized as normal, there is a proportion of the world who are born with special needs. When I say “ ” it does not only belong to the children with physical disabilities. There are other types of disabilities and disorders. Major categories include learning disabilities, communication disorders, and developmental disabilities. Children with Special Needs If a child cannot identify, recognize objects and has issues with learning new things he or she is identified as a child with learning disabilities. Mainly Dyspraxia and Dyslexia are under this learning disability category. There are methods to diagnose these disabilities in the medical area. And we all are aware of physical disabilities. If a child has limited physical functioning or mobility issues, then the child is identified as a child with a physical disability. Furthermore, physical disabilities can cause by epilepsy, forceps and post birth accidents too. Blindness, muscular disorders, Cerebral palsy, Angel-man disorders and there are few other physical disorders too. Communication disorders occur when the child has language and speech impairments. It includes hearing impairments, and also autism spectrum disorder. The children who suffer from down syndrome, slow learners have development disabilities which affect both mental and physical development. These can be caused by genetic reasons, after birth infections, epilepsy, etc. Why should we focus more on special child’s education? I have volunteered in a School for children with special needs. The school facilitates education for about 200 children and these children had different types of disabilities and disorders. For the period of 6 months, I understood why it is important to educate all the children. And especially why special children need to be educated. Words cannot explain how the parent’s sacrifices themselves to make their special children educate. When I say to educate, they don’t have many dreams. They don’t expect their child to become a doctor or an engineer. They all want their kids to be educated to be independent. Because they don’t want their child to become helpless when they die. This is the sole truth about all the parents who have a child with special needs. (Photo by on Nathan Anderson Unsplash) There are some parents who have two, three special children in one family. And most of you will think that having a special child in the family is the end of happiness. You will think that all their life will be spent in sorrow, pity, and sympathy. No, that is not true. Having a child with special needs is a blessing to the family. Happiness is protected in the family. If the parents stick together, they will witness all the special milestones of their child. I have seen the happiness in parents’ face. Their tears of joy of their son’s or daughter’s success. Whereas, there are children with special needs who have been abandoned from their birth. But they should be educated to be independent. To build their confidence. They should not be cornered or abandoned. Education is their right. Why do I think that technology can make a difference? I wanted to emphasize the fact that all children must be educated. The mode of educating the child is different from child to child. Same as the normal children, for the special children, they need to be inspected, recognize their positive and weak points and then educate them using the correct methods. Since I had the chance to spend 6 months is the special school as a volunteered IT, instructor, I observed them. I talked with the teachers. I talked with the students. Teachers dedicate themselves to the maximum to make the student life to the fullest. First, they observe the child. They do not jump to teach them ABC or 123. They read about their history. Their medical background. They observe the child’s behaviour. And then starts with simple steps such as sitting with them. Talking. Drawing with them. These are the steps taken for a 2 to a 5-year-old special child. And when they become older, they use different techniques. The most common issue among the students is to keeping attention to the processes. It is really hard with any child. And more with special children. As I said, I was an IT instructor and what I observed was that children love their computer period. Why was that? Technology can actually make a difference (Photo by on Hal Gatewood Unsplash) The reason is, it was new to them. Technology is an interesting area for anyone. And imagine these children. They loved their computer time because they had the chance to play with tech gadgets. The sole purpose of the time slot is to educate them in a different technique and report their behaviour. It was a drastic change. Even the teacher’s notices. The interactive whiteboard, Tablet computers are the equipment’s we used. And for the children who are older than 15 they had the chance to use the computer as well. And that is when I understood technology can actually make an influence to enhance the special education process. Currently, there are few devices which are used in the special education process. Computers, laptops, tablets, interactive whiteboards projectors are some of them.And if we think out of the box, we can actually use the wearable devices in the education process too. What is Wearable Intelligence? Wearable Intelligence is the result of augmenting Artificial Intelligence with Portable Devices. Wearable Intelligent Devices has reached a new level of computer and human interaction. As we all are familiar, watches, glasses, clothes, shoes, mini computers can be considered as portable devices. And these portable devices allows you to do a minimum set of tasks by giving the attention to the device. But when it comes to Wearable Intelligent devices, it allows you to do more tasks with less or no attention given to the device Can we use wearable Intelligence to enhance the special education process? Wearable devices such as smart watches, smart glasses are used in our day to day life to make it smarter. We use them for medical purposes, fitness and health, entertainment. And there are so many types of devices too. Different heads up displays including AR, VR boxes, smart glasses, headbands. Types of ear ware such as ear bobs, headsets hearing aids. Jewellery such as smart watches, bracelets, rings. And Smart Shirts, gloves and hand wore terminals too. As an IT undergraduate, I have researched on wearable devices. And it has the potential of providing an enhance special education experience for the children with special needs. VR and AR boxes are ideal for children with learning difficulties. They are most likely to be visual learners. So these devices can create a platform which can provide a visual environment for the learning process. Moreover, for any child, these can be used as a media to keep their attention to the education process. The 3D environment has the ability to make the child concentrate on the object when necessary. It can be computerized to me dynamic according to the child’s behaviour and reactions. And when it comes to the children with physical disabilities, these heads up displays can be used to provide guidance and a different learning experience. For the children with visual impairments smart glass can act as a guide to overcome obstacles and to enhance their senses. And AR, VR boxes can provide the virtual and augmented experience for the children who cannot physically visit places. And these devices can be used as trainers to the children to encourage them to do physical movements. Teresa Wu, Jeffrey Tully and Christian Dameff have concluded a research with the Google glass, and has discovered that it is capable of creating a context of role play based learning. Which also provides a base to prove that wearable intelligence can be actually used to enhance special education. (Photo by on JESHOOTS.COM Unsplash) Devices such as smart watches bracelets are ideal devices for the students to encourage in the education process. For children with developmental disabilities, these devices can act as reminders and as a trainer for the children. To remind them to do tasks. To monitor their behaviour. And also the hand-worn terminals such as gloves can be mainly used with the students with communication disorders. The gestures or the hands can be converted and can provide an interaction between the child and the teacher. In a research and a reviews paper done by Harmeet , Abhishek Amit , Keshav and Khushboo has described the smart glove evolution , and they have analysed the ways that this device to capture the hand and gesture movements. Which is ideal for the special needs students to provide a more stronger communication in the learning process. Furthermore, there are systems which can be embedded in to these smart devices. Such as computer based speech therapy systems. Devices which supports translation facilities can also be used so that the children are encouraged to interact. A. Schipor, G. Pentiuc and D. Schipor have researched on these therapy systems using fuzzy expert technology and embedding them in to wearable devices to create a personal assistant. Most children are discouraged because the teacher or their parents are unable to understand their needs. By using this small equipment, the child does not feel uncomfortable and they can provide a better communication facility too. Conclusion In my opinion, these wearable devices are ideal to provide more enhanced experience in the education field. Despite the traditional methods of education the teachers and the parents should be encouraged to use these devices too. They should understand the value of these devices and should show the drastic change these Wearable Intelligent devices can do. Using these devices does not affect their job. It provides a helping hand to give a better understanding for the child. And a unique learning experience to the child. If they are able to use these devices and enhance the education process to the next level, I think the special children can be educated more and make their life better too. Thanks to Stella J. McKenna.

Influencing Special Education with Wearable Intelligence

5 Top Android App Development Trends in 2019 Android app development latest trends have become the talk of the whole world heavily affected by the presence of digital technologies. And, another reason is people’s becoming more tech-conscious than before. This era witnesses the evolving of Android continuously and uncountable mobile platforms have merged in the IT industry. All these points come up as preoccupations before mobile app development companies. Although we have seen innumerable changes in the methodology of mobile app development companies in the last years, in this blog, we will deal with 5 top Android app development latest trends 2019 listed below: 1. Artificial Intelligence (AI) and Machine learning: The term Artificial Intelligence (AI) means the capability of working like the human mind of a computer and performing tasks which require intelligence that human beings are endowed with. Here, we mean that the machines are only programmed to do repetitive and specific tasks, but they can also do different types of tasks. , an AI part, includes data process in machine and learning by itself, without our teaching or guidance. You need to have a great deal of knowledge and research to learn machine language. Machine learning To overcome, there is a firebase MLKit comprising Google cloud vision API, tensorflow Lite, Neural Network API. All these features are in one single SDK. With this MLKit, mobile developers implemented features of Machine learning given below: text recognition is rendered for free for a mobile developer. These can identify only latin alphabets on mobile devices. In on-device recognition, this will return photographed structure documents with full text that comprises words, blocks, paragraphs, and symbols. Recognition of text: It is considered one of the best features. By means of it, it’s much easier for us to recognize famous places. It fundamentally works on the cloud and returns the result in SDK. Landmark recognition: It is capable of detecting the image of a face and returns the boundaries and also usable for the verification of photos. Face recognition: With MLKit, there are thirteen different formats of the barcode. It not only takes care of custom data, but it also handles some predefined events like texting, detection of Wi-fi connection and adding calendar events. Barcode scanning: Image labelling has a heap of uses. For instance, if someone uploads a photo suggesting the user for a TAG this one type of labelling and the other one is to name the photo group in the gallery. Image labelling: 2. IOT (Internet Of Things) has turned out as a very advanced concept for us. By means of this concept, our daily work has become much easier only by connecting an electronic device with our smartphones. IOT or Internet of Things Nowadays, a large number of home automation companies are striving for coming up with better smart home technology that smartphones and apps can handle. 4 top IOT features: Safety must be kept in mind. Both receipts and Creators will have safety as the main fact to point. The automation company will implement the electronics having all important safety measures. It the smartphone and data used by us to operate the device. Safety: Energy is one of the most important IOT features. Energy harvesting, power efficiency, and charging infrastructure are necessary intelligent factors to keep in mind in the ecosystem. Energy: Connectivity in IOT has turned out as more than the slap on Wifi. Network accessibility and compatibility can be enabled due to connectivity. Accessibility means reaching network and compatibility means having the common capability of data consumption and production. Connectivity: Sensing technology will allow us to create an experience which will reflect an awareness of the physical world. In a nutshell, Analog input from the physical world, but it provides a better understanding of the complicated world. Sensing: 3. Cloud-based mobile apps Cloud Application, a software program, is designed to access the Internet. Due to the high demand for Cloud technology, Android specialists are paying attention to Cloud-based applications. The technology lessens the load to access data by numerous kinds of portable computing devices. Top 3 features of Cloud-based mobile apps given below: We are provided with better data security for commercial businesses. Security: We are given more data space for online cloud app, for instance: Dropbox, Google Drive, and so on. More space for data: We get more flexibility for data streaming like video, audio, online gaming, and the like. Flexibility: 4. Android Jetpack Android Jetpack is a set of tools, components, and guidance to build the best Android apps capable of running faster. This Jetpack parts put all the existing support libraries, architectures and structure them to cope with main issues like app management, backward compatibility, and so on. Google structures all these things in a single pack with four categories: architecture, foundation, UI, and behaviour. Android Jetpack components are found as unbundled libraries that are not a part of the underlying Android platform which means that one can adopt each component anytime at any speed. If you find any new Android Jetpack functionality available, then you can add it to your app. After that, you can deploy your app to play store by giving users all features in a single day. Furthermore, one can run the app in various versions of the platform. It is because Android Jetpack components are developed by providing backward compatibility. The Jetpack is produced with the separation of interest, testability and Kotlin Integration. Due to this, it is possible to build a high-quality app using less code. The following are the 5 top features of Android Jetpack: if we use this, then we will be in a position to handle in-app navigation. This represents all in-app destination as graphs. Navigation: App screen navigation is done with XML attributes. This includes the deep-linking to destination for dealing with notifications. The architectures are used for the separation of the UI from application logic for simple maintenance and increase testability. Architecture components: To cope with these issues, Google made it simpler with architecture components. There are two concept types in architecture components. If any changes occur in the data source, this notifies the view. Live Data: It has all the live data objects, and it doesn’t disturb even when the device changes its orientation. View Model: In Android, the slice concept is very important and effective. Slice is used to develop custom layouts in the search app. Using all these, users can use the application from the Google provider application, which is inbuilt. Slice: 5. Kotlin Kotlin is known for having a statically typed programming language running on Java Virtual Machine (JVM). Kotlin is supported by Android studio 3.0 and higher. It’s easy for us to create new with Kotlin files by adding files to the existing project and after that convert java code to Kotlin. It comprises features for immutability and nullability. Using that, we can build our apps much safer with the ideal quality and performance. You must know that Kotlin code utilizes all the existing tools of Android studio like lint checking, autocomplete, debugging, refactoring and so on. We can save time and money on debug and QA with Kotlin. 4 top features of Kotlin: It is adaptable with JDK 6, it is confirmed that Kotlin runs on older devices without any problem. Compatibility: Kotline Application can perform like java application. Performance: It is interoperable with Java. it makes possible the use of all the files of Android to Kotlin application. Interoperability: We find compile time for Kotlin much faster than Java. Faster Compile Time: Summary: In this blog, we dealt with Android app development trends 2019 to give you a clear idea of the demand and expectations from the trends in android app development. We discussed Kotlin, Android Jetpack, Artificial Intelligence (AI) and machine learning, Cloud-based mobile apps, and IOT (Internet of Things) to keep you updated with the Android app development latest trends. And, ValueCoders is regarded as an ideal android development company capable of changing your dream into fruition. If you want to hire android app developers, then you must look for this reliable software development company that can help you reach your goal.

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are definitely the real deal. The secure and portable Linux package management system is more than a geeky tool for showing off your tech creds. Just consider the of companies that have already bought in and are providing their desktop software through snaps, including Blender, Slack, Spotify, Android Studio, and Microsoft’s (Microsoft!) Visual Studio Code. And don’t forget that the real growth of the snap system is in the world of IoT devices and servers rather than desktops. Canonical’s Snaps growing list But as the popularity of snaps grows — some new Linux distros come with the snapd service installed by default — you might be forgiven for wondering how you’re supposed to make them work. Don’t get me wrong: there are all kinds of web-based guides for finding, installing, and removing snaps. And there are places developers can go for help building their applications as snaps. But right now I’m talking about their behavior or when things go wrong. configuring troubleshooting Just for the record, you search for new snaps to install using something like: $ snap find aws When you find a package you like, you install it using: $ snap install aws-cli Oh, and you delete ‘em with remove. $ snap remove aws-cli There. You can’t say I never taught you anything. But that’s not what this article is about. What we are going to talk about is real management stuff, like changing configurations or troubleshooting things that broke. Understanding the snap file system Well, how’s that going to be different from the way you’d normally do it on Linux? Configuration files are usually going to be in , processes will reveal their deepest secrets through , and logs will find their way to . /etc/ systemctl /var/log/ Not so fast there, pilgrim. That’s not always how things work in Snapland. You see, a snap is really nothing more than a single compressed file (named using the extension) containing the entire file system needed for running a package. These files are never actually decompressed and “installed,” but are mounted dynamically at run time and exposed to the user as a virtual environment. .snap This means that the resources used by a program might not actually exist on the host system. Thus, for example, the Nextcloud snap creates its own versions of Apache and MySQL for its backend. So if, say, you want to configure a new virtual host in or create a new MySQL user the traditional way, you’re out of luck. /etc/apache2/sites-available/ The advantages of this approach are significant: installation and setup will generally be much smoother and you’re far less likely to run into dependency issues and conflicts. But it also at least appears to mean that you get less access to the vital organs that power your software. So, then, where does everything snappy happen? Take a look through your host file system for yourself: you’ll probably find more snap directories than you can shake a stick at (should you be so inclined). Here are the directories the snap install process probably created: /snap/
/var/snap/
/var/lib/snapd/
/home/username/snap/ That many? What for? Let’s go through those one at a time. Feel free to poke around your own Linux machine to see all this for yourself. The actual files are kept in the directory. When running, those files will be mounted within the root directory . Looking over there — in the /snap/core/ subdirectory — you’ll see what looks like a regular Linux file system. It’s actually the virtual file system that’s being used by active snaps. .snap /var/lib/snapd/ /snap/ $ ls /snap/core/current
bin   dev  home  lib64  meta  opt   root  sbin  srv  tmp  var
boot  etc  lib   media  mnt   proc  run   snap  sys  usr  writable And here’s a subdirectory containing (read-only) configuration files used by the Nextcloud snap. That’ll only be there, of course, if you’ve installed Nextcloud ( ). snap install nextcloud $ ls /snap/nextcloud/current/conf/
httpd.conf  mime.types  ssl.conf Ok. Now what about ? Very much like traditional inhabitants of , the files within contain various forms of user data and log files — the kind of data that’s generated and consumed by applications during operations. This example shows directories for data used by some desktop-related snaps, including the AWS CLI and the Slack team communication tool. (OK, technically speaking, the AWS CLI isn’t a desktop tool.) /var/snap/ /var/ /var/snap/ $ ls /var/snap
aws-cli  core18           gnome-system-monitor  gnome-calculator
brave    gnome-3-26-1604  gnome-characters      gtk-common-themes
core     gnome-3-28-1804  gnome-logs            slack Dive deep into the subdirectories within _/var/snap/_on your machine and see what you can discover. That leaves just the directory that exists in a user’s home directory on at least some Linux file systems. It’ll contain directories using some of the names you’ll see in /var/snap. What’s going on in there? ~/snap $ ls ~/snap
aws-cli  brave  gnome-calculator  slack As far as I can tell, these directories are meant to store versioned data related to settings used by your user account. Snap administration tools So far I’ve shown you how to find various classes of data kept in configuration files (within ), virtual file systems ( ), and collections of user settings ( ). I also showed you where to look — — which is where the .snap files themselves live; nothing to see here, move along now. /var/snap/ /snap/ ~/snap not /var/lib/snapd/ Now what about actual administration? This is a bit more complicated. Some snaps — like Nextcloud — expose a fully-featured admin interface. I talk about that in my Administrating Nextcloud as a Snap article. But it seems that the simplicity of snaps sometimes means that there just isn’t much hands-on configuration that’s possible. However, that’s not always the case. But first, you’ll need to know about . Some more complex applications require multi-layer software stacks. Nextcloud, for instance, creates and manages its own versions of Apache, MySQL, PHP, and Redis. Each one of those “layers” is, in snap terms, called a service. snap services If any snaps installed on your machine have their own services, you’ll be able to list them along with their status using this snapd command: $ snap services
Service                    Startup  Current   Notes
nextcloud.apache           enabled  active    -
nextcloud.mdns-publisher   enabled  active    -
nextcloud.mysql            enabled  active    -
nextcloud.nextcloud-cron   enabled  active    -
nextcloud.nextcloud-fixer  enabled  inactive  -
nextcloud.php-fpm          enabled  active    -
nextcloud.redis-server     enabled  active    -
nextcloud.renew-certs      enabled  active    - You can also control the run and startup status of a service. This example will stop Nextcloud’s Apache service and ensure that it doesn’t launch when the system reboots (although, just remember that this will disable Nextcloud — you probably don’t want to do that): $ snap stop --disable nextcloud.apache You can also use systemctl to manage snap service processes: $ systemctl status snap.nextcloud.apache If your snap includes at least one service, you can view its logs using snapd: $ snap logs nextcloud You can also specify a particular service: $ snap logs nextcloud.mysql For some snaps (like Nextcloud), snapd makes useful configurations available from the command line. You can display available settings using : snap get $ snap get nextcloud
Key        Value
mode       production
nextcloud  {...}
php        {...}
ports      {...}
private    {...} Drop down a level by adding the name of a specific setting. This example shows us that Nextcloud is currently listening on only ports 80 (HTTP) and 443 (HTTPS). $ snap get nextcloud ports
Key          Value
ports.http   80
ports.https  443 You could change a setting using the command. This one would tell Nextcloud to listen on port 8080 for insecure HTTP requests instead of 80. set $ snap set nextcloud ports.http=8080 Snapd also offers some system-wide configuration settings that are . described here All that’ll get you started when things need fixing. So get to it. Looking for more? You might enjoy my books and Pluralsight courses on Linux, AWS, and Docker-related topics.

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“Turn on all security features like two-factor authentication. People who do that generally don’t get hacked. Don’t care? You will when you get hacked. Do the same for your email and other social services, too.” — Robert Scoble “Extra layer of security” — who doesn’t need it? Is your website having a provision to enable Two-Factor authentication (TFA) for your users? Yes, you would definitely need your user-base to be more secure than just having a password based authentication. In this tutorial we’ll learn how to easily enable and integrate the 2-Factor Authentication in an Angular-7 app using Node JS as the back-end technology along with Google Authenticator, that provides Time based — One Time Password(TOTP). By the end of this post, you will be able to create an application that has a simple login and registration feature along with the 2-Factor Authentication. : ( ) GitHub repository to be followed angular-node-mfauth https://github.com/Narendra-Kamath/angular-node-mfauth Application Demo Video <a href="https://medium.com/media/138a83424fb4aa6cd8e427c828200cd7/href">https://medium.com/media/138a83424fb4aa6cd8e427c828200cd7/href</a> Prerequisites Node JS (LTS) — [ ] ( ) Download using v10.15.3 LTS in the tutorial Google Authenticator — [ : Android] [ : iOS] Download Download After having the above mentioned tools being installed, the next step would be to create the API services for the application. Step 1: Server-side Application For creating the API services, we would be using the minimal and flexible web framework for Node.js called as . Let us now create a dedicated directory ‘ ’ for our server-side app and navigate into that folder in the terminal/ command prompt and install the required project dependencies. Express.js back-end > mkdir back-end
> cd back-end
> npm init -y
> npm install --save express body-parser cors qrcode speakeasy Now, we have created a directory ‘back-end’ and initialized it as a Node.js project by installing the following dependencies: — This is a minimal and flexible web framework for creating API services. express — In order to parse the HTTP method’s body data, this package is being used. body-parser — This package is used in order to enable the client side web application to communicate with the API services and to avoid the cross-origin issue. cors — In this application we would be generating the QR-code as a base64 image data, and thus we require qrcode package. qrcode — This is the package that enables our application to provide with the secret key and the T-OTP algorithm that the Google Authenticator uses and is also useful for the verification of the Auth code being provided. speakeasy We will now create a few API services, with as the main file of execution. For the simplicity of learning process, separation of concerns is followed for the scaffolding of the application. app.js Folder structure for back-end The API services will expose the features of login, registration and TFA with the following routes: : The login service for the application would include the basic functionalities for a login using the username, password and Auth Code if TFA is enabled or else just with the username and password. Login service <a href="https://medium.com/media/43216c0e3fd70f80294467906a4e50bd/href">https://medium.com/media/43216c0e3fd70f80294467906a4e50bd/href</a> In this tutorial we wouldn’t be using a Database to store the user object and hence we would be using a common and shared user object on the server side. <a href="https://medium.com/media/4252f7e0b68885431e923b98063f0958/href">https://medium.com/media/4252f7e0b68885431e923b98063f0958/href</a> 2. : The registration of a user in the application would be just to add the username and password to the userObject as well as to reset the already existing userObject information. Since the login and registration modules are made just for the demonstration purpose, the application will support only a single user login and registration. Registration service <a href="https://medium.com/media/be06514234aeb2d4bcc54909180e9ecd/href">https://medium.com/media/be06514234aeb2d4bcc54909180e9ecd/href</a> 3. : This service is to provide a feature for the setup of the two factor authentication along with the verification of the T-OTP code generated by Google Authenticator. The service would include the functionalities to GET the existing TFA configuration as well as to enable or disable the TFA for a userObject. TFA service <a href="https://medium.com/media/e696b50a8159e0caefa31021db7caab9/href">https://medium.com/media/e696b50a8159e0caefa31021db7caab9/href</a> The above mentioned routes are exported for a common integration and single entry file in the root directory ‘ ’ This would start the express generated HTTP server on the localhost with port number 3000. app.js. <a href="https://medium.com/media/cc09e205798d56f36e661da3dd1381b2/href">https://medium.com/media/cc09e205798d56f36e661da3dd1381b2/href</a> Thus we have setup the server side code for our web application. The server script could be started and let it Rest In its Place ;) Now the next step would be to create a simple Angular 7 application to consume these created services. Step 2: Angular 7 application For creating an Angular 7 application, we should first install Angular globally. After installing angular, we’ll create an app by the name ‘ ’ and we’ll also install the local dependency of ‘ ’ (link the in ) by navigating to front-end directory. front-end bootstrap bootstrap.min.css styles.css > npm install -g @angular/cli
> ng new front-end
> cd front-end
> npm install --save bootstrap
> ng serve After successfully creating the angular app and launching the app server, we’ll generate a few components, guards and services required for the application. For the purpose of demonstration we would be creating a and two guards — ‘Auth Guard’ and ‘Login state management Guard.’ LoginService > ng g s services/login-service/login-service --spec=false
> ng g g guards/AuthGuard
> ng g g guards/Login The guards generated here are the guards. The login-service would include the HTTP calls to the services created at back-end. CanActivate <a href="https://medium.com/media/3859a27ac903b1803199b61ddf0b23ae/href">https://medium.com/media/3859a27ac903b1803199b61ddf0b23ae/href</a> The would restrict the user to navigate to the Home page without login. AuthGuard <a href="https://medium.com/media/08a5da3ebdb3ee9fe05c42ff5f375a83/href">https://medium.com/media/08a5da3ebdb3ee9fe05c42ff5f375a83/href</a> The would not allow the user to navigate to login or registration page if the user is already logged-in. login-guard <a href="https://medium.com/media/e7ea9fdaf13c0311e4a90e02fa46e929/href">https://medium.com/media/e7ea9fdaf13c0311e4a90e02fa46e929/href</a> Since we have completed with the backbone for our application by creating the services and guards, we’d now create a few major components and also configure the routing for the application. > ng g c components/header --spec=false
> ng g c components/home --spec=false
> ng g c components/login --spec=false
> ng g c components/register --spec=false After creating the necessary components for the app, we’ll now configure the routing for the app, by linking the respective guards for activating the routes. <a href="https://medium.com/media/124fb605fd858edd14109016b273da0d/href">https://medium.com/media/124fb605fd858edd14109016b273da0d/href</a> Let’s now have some code done on the components created, before which we have to remove the default code in , and we’ll just mention the common header component and the router-outlet. app.component.html <a href="https://medium.com/media/dcbaf8c95868871f80a79684a6841622/href">https://medium.com/media/dcbaf8c95868871f80a79684a6841622/href</a> : This is a common component for the other components, that includes a navigation bar for the application. The visibility of the links in the header are controlled by the of . Header Component getAuthStatus() LoginService <a href="https://medium.com/media/860e16260fdad1a3367a59244732bcf5/href">https://medium.com/media/860e16260fdad1a3367a59244732bcf5/href</a> In the background of this HTML, we would require the *.ts file as well, for the header component. <a href="https://medium.com/media/fe3517d7cd513cb91a8b23e95682c3ba/href">https://medium.com/media/fe3517d7cd513cb91a8b23e95682c3ba/href</a> 2. : This is a simple component to accept the username, password and the AuthCode ( ) from the user and to verify it with the back-end services. If the user information is valid, then the user will be navigated to the HomeComponent. Login Component if TFA is enabled <a href="https://medium.com/media/15b8ec18afeb6af06a7e382c531ee92a/href">https://medium.com/media/15b8ec18afeb6af06a7e382c531ee92a/href</a> We would also be verifying the status received from the back-end to display appropriate messages to the user. <a href="https://medium.com/media/267a7a98a38f1c5408a8ea7fe73eadcc/href">https://medium.com/media/267a7a98a38f1c5408a8ea7fe73eadcc/href</a> 3. : As stated earlier in this post, we would be able to register a single user in the whole application and we would require the user to enter any username and password (certainly the one that you would remember :P ) for the registration purpose. Registration Component <a href="https://medium.com/media/b132bd3fa27d41a1f4f2cbbeaf40dc39/href">https://medium.com/media/b132bd3fa27d41a1f4f2cbbeaf40dc39/href</a> In case you forget your username or the password provided for the application or in case if you miss the TFA secret key in your device, then simply provide a new username and password in the registration page (basically you would be resetting the userObject :P). <a href="https://medium.com/media/4c2a3bdf827a4d3774f8d4f2639b05a0/href">https://medium.com/media/4c2a3bdf827a4d3774f8d4f2639b05a0/href</a> Login and Registration page Once the user is registered and logged in with the username and password, the user will be provided with an option to enable or disable the Two-Factor Authentication in the HomeComponent. 4. : In this component, we would be allowing user to setup and verify the TFA. As soon as you land on this page, there will be an option to setup the TFA, where the QR-Code, which is to be scanned in the app. As soon as you scan, the T-OTP (TFA element) linked with the userObject will be included in the Google Authenticator app. The AuthCode will be displayed on time basis in the app and the same code should be entered in order to verify and enable TFA for the userObject. Home Component Google Authenticator <a href="https://medium.com/media/27763332fe9df92644e44fba0aaf883d/href">https://medium.com/media/27763332fe9df92644e44fba0aaf883d/href</a> If the user has enabled TFA, then the current settings with the QR-Code and Secret Key will be displayed, along with an option to disable the TFA linked with userObject. <a href="https://medium.com/media/6d93e7d0ca6fe194064731bdc3a5cba6/href">https://medium.com/media/6d93e7d0ca6fe194064731bdc3a5cba6/href</a> Setup TFA and Current Settings of TFA Hurray!! If you have reached till this length of the post, then you have successfully learnt of how to easily integrate the Two-Factor Authentication in your Angular 7 application. For any debugging process, you may look at the console of either the front-end application or the back-end application. Hope it was easy to integrate Two-Factor Authentication with your Angular 7 app… Cheers!! Kindly share your views in the responses section :) Thank you!

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Create an Angular 7 + Google Authenticator + Node JS Web App with Two-Factor Authentication

Introduction ​Advances in computing require appropriate hardware. Though computers have become smaller and more powerful over time, the power of regular computers (also known as classical computers) is limited. ​Quantum computers are a new generation of computers built to solve the problem of exponential scaling (for example, finding the optimal solution to a problem in which there are too many possibilities for a classical computer to analyze). Background on Classical Computers Classical computers have many components (including main memory, arithmetic unit, control unit, and others). They represent, process, and control data through these components. Computer chips contain modules, which include logic gates, which in turn include transistors. A computer module is a collection of electronic circuits on a circuit board. The logic gates are tiny computers within the computer itself. They look at two bits and push one of them out as an output. Their job is to read any input, in order to produce an output. A transistor is a switch that either allows or denies information to pass through it. The combinations of the logic gates form modules that allow for the basic functions of a computer. If we think of the transistor as an electric switch, the electricity is moving from one place to another when the switch is on. If the switch is off, then electrons are blocked. Computer components are getting smaller. A typical scale for transistors today is 14 nanometers, which is 500 times smaller than a red blood cell. As these transistors decrease in size, electrons can move to the other side of a blocked passage, resulting in it not being blocked at all. This process is called ‘quantum tunneling’, and it is slowing down our technological progress. Our computers are based on a binary system (also known as a base 2 numeral system), which uses 0 and 1 as bits. A bit, derived from ‘binary unit’, is a unit of information for a computer that holds the values of 0 or 1. For example, a 64-bit computer can work with 64 binary numbers at a time. Combinations of these bits are used to represent more complex data and operations. The logic gate performs a Boolean function, producing a single binary output. Boolean logic is a division of algebra that is used to create true and false statements. Since classical computers operate in binary, their logic is expressed in Boolean terms. The computer uses operators such as AND, OR and NOT to express the value and return a true or false output. For example, if you have values for x and y and the logical expression states x AND y, the computer would return true if are true, while if it said x OR y, it would return true if at least were true. both one An easy programming example, minus the programming language would be: x = 2, y = 4 x AND y are greater than 1: this would return true. x OR y are greater than 2: this would also return true, as y is greater than 2. In a classical computer, a true statement could (for example) return a value of 1, while a false statement could return a value of 0. This forms the basis of classical computing: though most calculations require more than one simple true/false statement, classical computers are large combinations of these binary statements. This is what everything from clicking a mouse to opening a browser rests on. What Are Quantum Computers For certain problems that a classical computer solves, you may need a very small number of logic gates. However, if you want to find the factors of an extremely large number, it is going to take a large magnitude of logic gates (which a classical computer will not have). A quantum bit, known as a qubit, is a computer bit that is able to hold two different states at once, meaning that it can hold a position of 0 and 1 at the same time. A regular bit can only hold one of the two at a specific time. A qubit can be any two-level quantum system — a spin and a magnetic field, or a single photon (particle representing a quantum of light). This system’s possible states are 0 and 1. Within the quantum realm, the qubit can be in any proportion of both states at once; this phenomenon is called superposition.​Superposition allows quantum computers to analyze far more possibilities than a classical computer. As soon as you test the value of the photon by sending it through a filter, it needs to decide on vertical or horizontal polarization. You cannot predict if it will decide on position 0 or 1. When in superposition, the photon is in some combination of both 0 and 1 simultaneously. However, as soon as you measure its value, it collapses into one of the defined states. An exhibit of an IBM quantum computer. Numerical Example ​Think of 4 bits that can be on or off. Such a system would have 2⁴ (so, 16) possible combinations. In a traditional setting, you can use only one of these. However, qubits could hold all of these 16 combinations at once. This number grows exponentially with every added qubit. Entanglement ​Qubits can hold the property of ‘entanglement’, a close connection between qubits that allows them to react to a change in the other’s state instantly no matter how far apart they are. Therefore, when measuring one entangled qubit, you can directly conclude the properties of its partner without having to test it. ​Qubit Manipulation ​As a traditional logic gate receives a simple set of inputs, it produces one definite output. The quantum gate manipulates an input of superpositions, rotates probabilities, and finally produces a determined state as its output. To break down the steps, a quantum computer: Sets up qubits Applies qubit gates to entangle them and manipulate probabilities Measures the outcome, collapsing the qubits into one defined state: a sequence of 0s and 1s. This means no more superposition. This way, all calculations in the setup are done at the exact same time. Simplistic Overview ​The essential power of a quantum computer is that you can consider many states simultaneously. In order to make it work, its algorithm must be able to produce an end state that is readable (so, the information that you read out at the end cannot have superpositions). This means that quantum computers require a more complex algorithm design to be useful. Where Quantum Computers are Effective Quantum computers will most likely not replace our home computers. However, they can be superior in areas such as data searching. To find something in a database, a classical computer must test every one of its entries. A quantum computer will take the square root of that time to come up with the same answer.​Quantum computers can challenge existing IT security measures. Currently, data is protected by various levels of encryption. In this case, you can give everyone a public key to encode messages only you can decode. While technically this public key can be used to calculate your secret private key by the use of trial and error on a classical computer, it would take far too long to be worth anyone’s time. A quantum computer with exponentially higher speed will be able to do it much faster. Two conceptual explanations of how quantum computers work Example 1 You have a 10 person dinner party. You need to figure out how to seat everyone. There are 10! = 3,628,800 ways of doing so (where ‘10!’ is pronounced ‘ten factorial’ and represents 10 x 9 x 8 x…x 1. A classical computer will have to go through each of the 3.6 million ways individually and then compare them to figure out the best optimization. ​A quantum computer would: Take the qubits and go into a superposition of all possible states and configurations When this problem is encoded into a quantum computer, the encoder applies a phase on each of the states. When the ways are in phase, the amplitudes add. When they are out of phase, the amplitudes cancel. This is a similar idea to noise cancelling headphones, which create noise to phase out outer noise. You use interference to amplify some answers, while cancelling the others, finally approaching one answer. Example 2 Here we have a maze. Imagine you are in the center of it and want to get out at either of the two exits. You can start exploring each path, one by one. After a lot of tries, you will finally get out of the maze. Now, imagine you have with you several clones of yourself. Everyone can start exploring the different ways, and one clone will directly find the correct way out. You and your clones were exploring all the different paths at once, meaning that you were all in different places at the same time. You were in a superposition of states, like a qubit. This allows you to find the best solution possible, quickly. These simplified, conceptual examples help explain why quantum computers (when created) will be immensely helpful in solving large, complex problems. Further Reading: How Will Quantum Computing Impact Blockchain Technology Quantum Threat to Blockchains: Shor’s & Grover’s Algorithms

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Quantum Computing Explained

Here is the list of 8 best programming languages and frameworks that you should look for in the year 2019 based in various and stats & facts. In the contemporary world of constant advancements in technology, computers have reached everywhere. Writing programs for computers is one of the most crucial work profiles in the current IT market. Have you ever wondered what is an even more hectic task than this? It’s selecting an appropriate programmer to develop software for your company. For a non-technical person, it’s not easy to choose the best programmer out of the ocean of developers. Here is an image which shows the characteristics on the basis of which you should hire a . software development company After selecting the best software developer, the next step is to choose the language which you want to use. It is again a strenuous task for every enterprise who want to outsource this service because software can bring great business gains for you. Plenty of companies and this is evident by the findings represented in the image below: outsource web developers A number of companies rely on for delivering the service of software development. web development companies Every company has its own way of delivering their services. Therefore, as an aware client, you need to know which is the most suitable language as per your needs. Let’s take a glimpse at the most popular languages among developers. Here are the findings of report. It shows how many developers are using a particular developing language. GitHub It clearly shows that JAVA is the most preferred language. Although it is not a proof that Java is the best language to choose. Every language has its own pros and cons. Therefore, enterprises should focus on their individual needs. There are many other factors other than popularity which decides the most suitable programming language for your software. In this post, we are discussing the top programming languages of 2019 in detail. By reading the following descriptions, you can get a greater idea about languages in trend this year. Here is a list of top programming languages of 2019: 1. Javascript: Javascript is no doubt the most trending language these days. It plays a chief role in front-end development. It can be used to develop interactive web pages very conveniently. Most of the in the contemporary market prefer to use it. full-stack software developers Stack Overflow, a popular website which is mainly used by developers surveyed 100,000 developers in 2018 to find the most preferred language. Javascript topped the list, followed by HTML, CSS, SQL, and others. Here is the representation of their in the following chart: survey This year too, it has been expected that Javascript will top the list again. The reason behind this popularity is probably its compatibility with all browsers. Moreover, it is also used in server-side through node.js. 2. Python: Python has grown more than any other language in recent years. The major reason behind its growing popularity python is the as well as the elimination of semicolon as an indication of the end of the statement. Python is one of the or machine learning based web & mobile apps. In many ways, it is similar and different from other programming languages. rise of Artificial intelligence preferred languages for creating AI The picture above shows the traffic of different Python packages. Pandas which was introduced in 2011 is the fastest growing python package. It is a multi-purpose language which can be used by for data science as well as web designing. software product development companies It would not be wrong to say that the growth of data science has enhanced the development of python as a programming language. Moreover, Python is also replacing Javascript as a teaching language in institutes. 3. Java: This language has survived at the peak in the programming industry from the past 20 years. It is widely used for building enterprise scale web application. also rely on this language for programming. Android mobile app developers It is considered as one of the most stable languages. This is why it is the most preferred language by large enterprises. Another important factor which has kept its magic intact among is its independence from platforms. web development companies It is known for high cross-platform compatibility. The Java Virtual Machine (JVM) allows it to run on various devices and platforms. Most of the fortune 500 companies use Java to develop back-end applications. 4. PHP: It stands for Hypertext Preprocessor and is a popular scripting language found in 1995. Newer languages could not make any difference to the popularity of PHP frameworks. This is mainly because it kept on evolving throughout these years. Most of the frameworks are free of cost and provide strong security features. It is the best server-side programming language according to a survey by . w3techs.com It has over-the-top benefits like libraries and modules which assure dynamic software development. This is why most of the websites and content management systems are written in the PHP programming language. There are many , which use this language for creating enterprise grade web applications with varied complexity. PHP development companies 5. SQL: Out of 19 million developers in the world, 7 million are using SQL according to the . You can get an idea about the immense popularity of this language from these statistics. Evans Data Corporation The chief reason behind this is its amazing feature of managing data structures and information stored in databases. SQL stands for Structured Query Language and allows faster retrieving of a large number of database records. The secured functioning of this programming language assists in maintaining the integrity of databases. If you require proficient data management then choose a SQL developer for optimum outcomes. 6. Ruby: This language was developed in Japan in the mid-1990s. Ruby is a dynamic language which was constructed with an aim to simplify the programming task and making it more fun. When you look at the data of you will get an idea about the popularity of Ruby. RedMonk Ruby is at 8th position and at the top among other programming languages. The major reason behind this is the Ruby of rails framework which is a full-stack web development framework. 7. C/C++: When this programming language comes into the light, every can agree to the fact that old is gold. It was introduced in the 1970s and still manages to be in the top software writing languages. custom software developer It would not be wrong to state that C is the parent language of many modern languages. Including the popular Java is derived from its syntax. C++ is a more dynamic language because its code is type-checked before it gets actually executed. A major difference between these languages is that C does not supports encapsulation, polymorphism, and inheritance but C++ does support all of these. Basically, we can conclude that C is a subset of C++. 8. Swift: Do you know how many iOS apps are there? Here is a table constructed from the findings of : Lifewire You can see that there is heavy competition in this arena as there is a large number of applications in the apple store. If you want to outshine among them then undoubtedly you must choose the programming language ~ Swift. It is developed by Apple Inc and introduced in the market in 2014. This language is the best choice for the development of native iOS or MAC OS app. Apart from this, it is a beginners’ friendly language. Influenced by Python and ruby, it is faster and more secure than both of them. The biggest advantage for swift (majorly used by ) is its similarity with the English language due to less code requirement. iOS app developers Conclusion: We have seen in this post that every language has its own pros and cons. As a business enterprise, you can find a proficient web or as per your requirements anytime. The crucial step that you need to take is the finalizing of a language. mobile app developers The language should be best suited for your requirements and budgets. Therefore, plan your software development according to the advantages and disadvantages of every language. Make sure to complete this first step efficiently to gain maximum profits. <a href="https://medium.com/media/3c851dac986ab6dbb2d1aaa91205a8eb/href">https://medium.com/media/3c851dac986ab6dbb2d1aaa91205a8eb/href</a>

8 Top Programming Languages & Frameworks of 2019

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