How to create an app? It is the first question that arises once businesses have decided to create an app to further their enterprise. Businesses may know their target audience, demand, and supply. They may also know that the idea of creating a mobile app is going to be successful, and that it could potentially be a million-dollar idea. The thing stopping them is that they do not know how to develop a mobile app. In this post, we share a step by step guide to building a mobile app. 1. Define your purpose Many companies and start-ups make a mistake of not defining clear objectives while developing a mobile app. It is nearly impossible to get expected benefits if the purpose is not precise. Before developing a mobile app, it is vital to find answers to such questions. How can your app create a difference? How can it be helpful to customers? Is your app going to reach more customers? Or is it just for brand awareness? After getting answers to the above questions, you should look for improvements in your business through the app, as well as the expected outcomes. These things need to be crystal clear before going further. 2. Discuss features and functionalities After defining the objectives, the second most crucial step is to discuss the functions and features of the mobile app. One of the essential parts of developing a mobile app is to write down all the necessary functionalities and features. You can integrate features such as ML, AI, Payment Gateway integration, Real-time tracking, Face Detection, and others in your mobile app. If...
(www.MaritimeCyprus.com) Developments in connectivity and the transfer of data in greater volumes between ship and shore continue to bring significant gains for fleet management efficiency and crew welfare, but they also increase the vulnerability of critical systems onboard vessels to cyber attacks. A 2019 recorded 58% of respondents to a survey of stakeholders as confirming that cybersecurity guidelines had been incorporated into their company or fleet by 2018. The increase over the 37% giving this answer in 2017 explained a sharp drop in the number of maritime companies reporting themselves as victims of cyber-attacks according to authors – 22% compared to 34%. However, the enduring feature of cyber threats is their ability to adapt and evolve, with new lines of attack developed as barriers are put in place, and strategies to expose vulnerabilities constantly emerging. A June 2020 White Paper from the British Ports Association and cyber risk management specialists Astaara suggests that reliance on remote working during the COVID-19 crisis coincided with a fourfold increase in maritime cyber attacks from February onwards, for example. In fact, cybersecurity was ranked as the second-highest risk for shipping in 2019, behind natural disasters, according to a survey of over 2,500 risk managers conducted by Allianz. Given that, according to IBM, companies take on average about 197 days to identify and 69 days to contain a cyber breach, it is clear that an attack on a vessel’s critical systems could threaten the safety of a ship as well as the business of shipping. The fact that a 2019 Data Breach Investigations Report from Verizon indicates that nearly one-third of all data breaches...
Nodejs is a free open source, lightweight, scalable and efficient JavaScript framework built on Chrome’s V8 JavaScript engine, and uses an event-driven, non-blocking I/O model. Nodejs is now everywhere, and has become so popular for developing software from websites, web apps to network apps and more. Nginx is an open source, high-performance HTTP server, load balancer and reverse proxy software. It has a straightforward configuration language making it easy to configure. In this article, we will show how to configure Nginx as a reverse proxy for Nodejs applications. Note: If your system already running with Nodejs and NPM, and have your app running on a certain port, go straight to Step 4. Step 1: Installing Nodejs and NPM in Linux The latest version of Node.js and NPM is available to install from the official NodeSource Enterprise Linux, Fedora, Debian and Ubuntu binary distributions repository, which is maintained by the Nodejs website and you will need to add it to your system to be able to install the latest Nodejs and NPM packages as shown. On Debian/Ubuntu On CentOS/RHEL and Fedora Step 2: Creating a Nodejs Application For demonstration purpose, we will be creating a sample application called “sysmon”, which will run on port 5000 as shown. Copy and paste the following code in the server.js file (replace 192.168.43.31 with your server IP). Save the file and exit. Now start your node application using the following command (press Ctrl+x to terminate it). Now open a browser and access your application at the URL http://198.168.43.31:5000. Access Node App from Browser Step 3: Install Nginx Reverse Proxy in Linux We will install...
Introducing: Machine Learning in R Machine learning is a branch in computer science that studies the design of algorithms that can learn. Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. These tasks are learned through available data that were observed through experiences or instructions, for example. Machine learning hopes that including the experience into its tasks will eventually improve the learning. The ultimate goal is to improve the learning in such a way that it becomes automatic, so that humans like ourselves don’t need to interfere any more. This small tutorial is meant to introduce you to the basics of machine learning in R: more specifically, it will show you how to use R to work with the well-known machine learning algorithm called “KNN” or k-nearest neighbors. If you’re interested in following a course, consider checking out our Introduction to Machine Learning with R or DataCamp’s Unsupervised Learning in R course! Using R For k-Nearest Neighbors (KNN) The KNN or k-nearest neighbors algorithm is one of the simplest machine learning algorithms and is an example of instance-based learning, where new data are classified based on stored, labeled instances. More specifically, the distance between the stored data and the new instance is calculated by means of some kind of a similarity measure. This similarity measure is typically expressed by a distance measure such as the Euclidean distance, cosine similarity or the Manhattan distance. In other words, the similarity to the data that was already in the system is calculated for any new data point that you input into the system. Then,...
ruby on rails developer singapore,web design singapore,singapore app developer,ios app development singapore,design firms in singapore,singapore web design,mobile app development singapore,mobile application development singapore,website development singapore,singapore website design,web design company singapore,singapore mobile app developer,ios developer singapore,app development singapore,mobile application developer singapore,singapore web design services,website developer singapore,app developer singapore,mobile app developer singapore,web design services singapore,web development company singapore,website designer singapore,mobile developer singapore,web development singapore,web designer singapore,developers in singapore,developer in singapore,mobile apps singapore,website design singapore,web application singapore,singapore mobile application developer,mobile game developer singapore,mobile apps development singapore,android developer singapore,graphic designer in singapore,singapore web development,design agency singapore
