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SharePoint is one of the most popular web services offered by Microsoft. It is a web application that supports collaboration, data storage, and secure document management across the intranet platforms. Web Application Development with sharepoint

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With 5G technology is going to bring the boom in the economy with the help of IoT in each and every sector with IoT services.

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IoT systems are more focused on platforms that can give awareness to satisfy the needs of the organizations.

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It is important to consider Big Data for the business, as it provides rich insights and leverages the quick functioning of the business.

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For a very long time, developers have been searching for a framework that can help them to create applications without much stress and .Net served this purpose with ease.

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With the advent of the “Internet of Things” or IoT, it is possible to connect all the things across the globe. In fact, IoT can be called as a logical culmination of the internet itself. We can already see its effect on our daily lives and businesses as a whole.

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Integration of Big Data analytics with Asp Net Development Company helps you analyze a massive amount of data, trends, facts, and patterns. With such information at your disposal, you can make a data-driven decision.

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ASP.NET Core employs open-source technology with a cross-platform framework. With its help, ASP.NET developers to create highly scalable and performance-oriented web applications. Here, in this write-up, we will divert our attention to some of the latest features in ASP.NET Core 2.2 that can take your web and cloud applications to the next level of success.

The great news is that it contains the most up to date versions of web pages, .NET MVC, Web API, and SignalR that can be employed to work independently in the same application. This very reason makes ASP.NET Core as the next generation development platform.

In the forthcoming sections of this write-up, we will look at the latest ASP.NET Core 2.2 features that take your ASP.NET web development to the next level of success. We promise after reading this piece of content; you will be in a far better position to understand the significance of ASP.NET in the

Original Source: https://www.asiaradiosales.com/latest-asp-net-core-2-2-features/

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Everything You Wish to Learn About IoT-Based Predictive Maintenance

It has been years since manufacturers have been employing a time-based approach for equipment maintenance. There was a time when the age of the machinery was taken into consideration to plan for maintenance routine. The simple way to calculate it by considering the fact that the older the equipment, the more frequent maintenance procedures need to be executed. However, according to a study conducted by the ARC group, across the globe, only 18% of types of equipment have failed due to its age. On the other hand, 82% fail on a random basis. This goes to prove that the time-based approach is not the right way to go ahead. The final take is a piece of equipment that gets maintained despite its actual requirement.

To get rid of ineffective maintenance routines and costs that accumulate with it, manufacturers can leverage the Industrial IoT solutions in combination with data science. In the forthcoming sections of this write-up, we will look at the various ways IoT-based predictive maintenance can prove to be effective in increasing the efficiency of the manufacturing process.

The Reason to Opt for IoT Services

You might have a question as to why is it essential to utilize an IoT solution if there is already an excellent old SCADA to support the maintenance activities? The possible answer to this question is, predictive maintenance needs the capability to process lots of data and execute complicated algorithms.

All these become difficult to achieve if you are using local execution within SCADA. On the other hand, an IoT-based solution can store terabytes of data that can assist in executing machine learning algorithms across different computers. It is even possible to forecast potential problems and also note where the industrial equipment is deemed to fail.

When it comes to a robust IoT-based predictive maintenance solution, a well-contemplated architecture is mandatory.

Here are some of the components that assist in the smooth functioning of predictive maintenance. Let’s now divert our attention to IoT-based predictive maintenance architecture.

Before digging deep into the technical details, it is significant to ascertain essential variables that determine the health of the battery. This includes voltage, discharge, and temperature. Once that is over, the batteries can be used along with sensors to get the data of these parameters and get it to the cloud for further processing.

Sensor data does not have the capability of passing directly to the cloud. It needs to go through the gateways. There are two types of gateways. Field gateways can be defined as physical devices that clean and preprocess the data. On the other hand, cloud gateway is all about safe data transmission. It ensures connectivity through different protocols that enable connecting different field gateways.

When the sensor data enters the cloud part, it gets into the streaming data processor. Its primary goal is to enable the incessant flow of data and swiftly and effectively transmit data streams to a data storage – a data lake.

A data lake accumulates the data that has been assembled by sensors. It is in the raw state; hence, there is a possibility that it might consist of wrong, erroneous, or irrelevant items. Compute it with the help of different sets of sensor readings that can be measured at the corresponding time. Whenever information is required about the insights of the battery’s health, it can be found in a big data warehouse.

The big data collects all the filtered structured data. This includes voltage, discharge parameters, and temperature measured during a specific time and contextual details of batteries’ locations, recharge dates, types, etc.

After the data is prepared, it is scrutinized with the help of machine learning (ML) algorithms. The ML algorithms can be useful in gaining insights about hidden correlation in data sets and ascertaining abnormal data patterns. The approved data patterns are revealed in predictive models.

The purpose of predictive models is to ascertain whether self-discharge happens in a battery. It tells whether the batteries are functioning with a capacity lower than normal. Alternatively, it can even estimate the remaining useful life of the batteries. There are two ways to develop predictive models to predictively maintain industrial batteries.

Classification Approach

Under this approach, models help to find out whether the battery is likely to self-discharge. You can even ascertain whether the capacity of the battery is lower than normal.

Regression Approach

In this approach, the models provide information about the number of days or cycles that are left until the battery’s useful life ends.

Predictive models are updated regularly. For example, it can be every month and tested for precision. In case, there is variation in the desired output, they are revised, abstained, and tested again till the desired result is obtained.

Before getting upfront with machine learning, it is crucial to carry out adequate exploratory analytics. With the help of data analysis, it is possible to ascertain dependencies and find out patterns and insights into the machine learning data sets. On top of this, as a part of the exploratory analytics stage, there are certain technical assumptions that can assist in selecting the best-fit machine learning algorithm.

With the help of these user applications, it is possible to derive an IoT-based predictive maintenance solution that tells users about the potential battery failure. Also, predictive maintenance architecture can add extra components like control applications and actuators that are not connected to our battery example.

Based on the results achieved for the prediction, it is possible to set control applications to send commands to the actuators of the equipment. For example, if your engine’s temperature is rising to an alarming level, with the help of control applications you can send a command to cool-down the machine. You can even merge control applications with maintenance systems.

The Practical Implementation of Predictive Maintenance in Industries

With the help of the universal architecture components mentioned earlier, it is possible to “build” predictive maintenance solutions for different industries. Let’s now focus on some of the predictive maintenance applications and look at how manufacturers have executed IoT-based predictive maintenance solutions in their respective industries.

Discrete Manufacturing

There are quite a lot of discrete manufacturers that are employing predictive maintenance based on IoT for monitoring purposes. For example, consider the health of spindles in milling machines which are known to break easily. It is also quite expensive to repair them. With the help of an IoT-based maintenance solution, it is possible to foretell potential damage by accumulating data from ultrasonic and vibration sensors, which is connected to the spindle. Once you scrutinize the collected data, it assists in ascertaining fragile spindles before they break.

Process Manufacturing

Process manufacturing firms like paper manufacturing companies utilize IIoT to take a note of the state of papermaking machines. You can also check out the example of the steel industry. Steel plants consist of a wide array of furnaces that employ water cooling panels to control the temperature. Due to leakages in the panel, there can be an occurrence of safety issues and production losses. Thanks to IoT-based predictive maintenance solutions, you can derive aberrations and find out the root cause of the problem that can go a long way in preventing production delays and equipment failures.

Final Thoughts

To sum up, IoT-based predictive maintenance prolongs the shelf life of the type of equipment. It is able to save as much as 70% of your time-based maintenance routine that overall assists in reducing equipment downtime by 50%.

However, if you wish to go for a mature and reliable predictive maintenance solution, it is vital to contemplate developing an architecture that is concentrated solely on machine learning. If you wish to learn more about IoT-based predictive maintenance, get in touch with a professional IoT service provider today!

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4 New ASP.NET core features present in net core 3.1 preview 1

In the third week of October 2019, Microsoft announced specific new features in .NET Core 3.1 Preview 1, which is an integral part of the ASP.NET Core component. The reason for this recent update is due to the fact that the first preview release of .NET Core 3.1 had lots of bug fixes of ASP.NET Core. This news was confirmed by Daniel Roth, principal program manager for ASP.NET.

This new preview has resolved this problem. Now, it has an update on Blazor WebAssembly, the client-side part of Blazor, one project that is a hot favorite amongst developers since they are able to utilize C# instead of JavaScript in Web projects.

This is a piece of excellent news for .NET developers since they will now be able to apply ASP.NET application development services without any hassle.

Daniel quoted, “On top of .NET Core 3.1 Preview 1 release, there is a Blazor WebAssembly update that has been released. However, you still need to use the .NET Core 3.1. To maximize the use of Blazor WebAssembly, you need to install .NET Core 3.1 Preview 1 and the latest preview of Visual Studio.”

Let’s now look at the different ASP.NET Core features which are new in .NET Core 3.1 Preview 1.

Partial Class Support for Razor Components

It is now possible to generate razor components in the form of partial classes. Now, it is possible to author the code for a Razor component by employing a code-behind file, which is defined as a partial class. Instead of defining all the code for the component in a single file.

Pass Parameters to Top-Level Components

It is now possible for Blazor Server apps to pass parameters to top-level components when the initial render takes place. Earlier, it was only possible to pass parameters to an essential element with RenderMode.Static. However, after this release, both RenderMode.Server and RenderModel.ServerPrerendered now gets supported. In case, any specific parameter value is being considered, it is possible to serialize it as JSON and integrated it into the primal response.

Support for Shared Queues in HttpSysServer

On top of the prevailing behavior where HttpSysServer creates anonymous request queues, in the recent update, it is possible to integrate the ability to create or attach to a regular named HTTP.sys request queue. This way, there can be conditions where the HTTP.Sys controller process that has the line is autonomous of the listener process. At the end of the day, it assists in preserving existing connections and enqueued requests between across listener process restarts.

Breaking Alterations for SameSite Cookies

Thanks to this release, there is a significant update regarding the behavior of SameSite cookies in ASP.NET Core. It follows the latest standards that are supported by browsers. For more information on the changes and their impact on the existing apps, click here.

Concluding Thoughts

These are some of the new ASP.NET Core features that are present in .NET Core 3.1 Preview 1. To take advantage of this latest feature in ASP.NET web development, get in touch with a reputed ASP.NET development company. For more information, visit this blog.

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6 Prominent Reasons For Selecting .Net For Enterprise Application Development

Today enterprise applications and software have become an indispensable part of all types of businesses. There was a time when companies were not aware of the optimal use of enterprise applications. However, today, businesses are developing their customized enterprise applications at a cost that does not hurt their pockets. These applications today need to cater to a wide array of devices, infrastructure, and technologies and deliver a seamless experience to the target audience. Before we look at the development of Enterprise Applications, it is time to look at what these are and what are they popularly used for?

The Definition of Enterprise Applications

An enterprise application or software in simple terms is a software platform that is employed by businesses to help themselves in resolving enterprise problems. It even aids in carrying out mundane tasks. The features of an enterprise application may vary depending on the type of industry and the business type they are being employed for. For example, for retail companies, enterprise applications might have features like supply chain management, inventory management, etc.

In the past, only large organizations used to invest in such applications. The reason being, they were too costly and highly complex. However, today, due to the advancement in technology, enterprise apps are being used by small scale businesses to enhance efficiency and profitability.

What Makes Enterprise Application Indispensable for Business?

Today, enterprise apps are changing the face of businesses. Everything is so dependent on technology since it makes the tasks smooth and productive. The same thing applies to businesses and their customized enterprise apps. It increases productivity, leverages big data, and aid in optimizing business process efficiency, etc.

These are some of the reasons for businesses to own enterprise application:

Enterprise apps enhance worker and overall corporate productivity.

Enterprise apps empower field workers who are the leading contenders for changing the nature of corporate landscapes, thanks to their adoption of smart devices, especially tablets.

With the help of enterprise big data and analytics, it is possible to create smarter apps that help you to determine the best course of business activities.

It is straightforward to develop enterprise apps.

Now, that you have gained a fair idea about enterprise applications, as promised, it is time to look at the reasons that make developers prefer .NET applications development services for enterprise application development.

Microsoft .NET technology delivers a great user experience and meets the ever-increasing demands of an enterprise. Today, businesses are looking for an enterprise application solution that can help them grow fast and provide flexibility for future growth. With the help of .NET technology, developers have an opportunity to create amazingly designed applications that are well-equipped to offer a wide array of adaptable features and versatilities.  

Let’s now look at some of the reasons to choose .NET for enterprise application development.

Open-Source Cross-Platform

The .NET technology is known for its free, cross-platform, and open-source property. It gives adequate freedom to .NET developers to experiment with the platform and make their dreams transform into reality. You can utilize it from web to mobile and develop web apps and services. It is even possible to create native apps for Windows, Android, and iOS. In addition to this, you can also independently deploy microservices.

Easier to Maintain

This framework works on object-oriented programming that gets rid of unnecessary codes. It ensures that developers do not have to do much of the coding. The reason being, it consists of reusable codes and several reusable components. This way, it assists in making any changes to the program.

Keeps the Applications Safe and Secure

When it comes to enterprise applications, security cannot be compromised in any situation. .NET comprises of features like code checks, encryptions, code access security, and character validations that can keep your enterprise applications safe and secure.

Easy Scalability

.NET scales the requirement of the program both horizontally and vertically to meet the growing requirements of the enterprise. Thanks to its application extensions, you will not have to invest in software as the business expands.

Compatability

Every enterprise application that businesses wish to develop needs to be compatible. The fantastic thing about .NET application development is the fact that apps and software developed using it can efficiently seamlessly run on multiple devices. Thanks to its cross-platform and device compatibility, modularization, and toll improvisations, .NET can easily become compatible with almost all platforms and languages.

Wide Array of Components Present in Enterprise Application Development

.NET technology assists in developing a state-of-the-art .NET environment for application development. This includes different components like .NET framework, VisualStudio.NET, .NET languages, and the User Interface (UI). All these components ensure that enterprise application developers have lots of options at their disposal.

With the help of these components, developers can easily choose from programming languages like JavaScript, Visual Basic, C++, and C#. The new Visual Studio supports multiple languages which makes the job of developers easier as they can now easily work with data types between the languages. This way, a single application can be written by utilizing different languages.

Final Words

These are some of the prominent reasons for selecting .NET for enterprise application development. To create your very own enterprise application, affiliate with a .Net development company, and see how it assists you in delivering a prominent enterprise application.