Tech

What are the 6 important advantages of indulging in IoT security?

Published

3 years ago

June 28, 2021

sylvia J

IoT security is considered to be the company is a set of technologies and the best practices in the industry that are very much successful in terms of ensuring the sustainability of the information technology business. This concept is very much successful in terms of ensuring that there will be a higher level of trust, integrity and control for the organisations because the concept is capable of protecting the key assets of the organisations like devices, data, decisions, commands, actions and identity very effectively. IoT security will be the best possible technologies which are very much successful in terms of enabling new opportunities while protecting the business from different kinds of risks which are brought by connectivity. This concept will always include six main phases that are explained as follows:

The training phase: In this particular phase the organisations need to train their team effectively and it will further help in making sure that everybody will be very much knowledgeable about the IoT security for the context of organisations.
The designing phase: Under this particular concept there will be proper incorporation of the security into the IoT design from the start and will help in making sure that overall goals will be efficiently achieved.
The evaluation phase: Under this particular state the organisations will be seeking the expert security assessment of the IoT device and ecosystem.
The Certify phase: Obtaining different kinds of certification is to protect the clients and meet the regulatory requirements is the key to the success of this particular area so that overall goals are efficiently achieved.
The secured phase: Integration of a robust entity into a single device to create a secure foundation for all the user cases is the very basic point to be undertaken over here.
The management phase: Under this, the organisation will be very much successful in terms of securely correcting, managing and proactively updating the devices throughout their entire life cycle.

The concept of IoT security always helps in making sure that organisations will become much more effective than before and the best part is that this concept has been specifically designed with the motive of ensuring the devices and ecosystem from the very beginning. Further, this is considered to be the best possible way of ensuring that effectiveness will be present in the whole process to ensure that the business will be able to achieve its objectives on time.

IoT security practices are the best possible ways of making sure that organisations will be successful in terms of protecting and enabling the business organisation to ensure that they will be launching the perfect products in the market that will help in ensuring that digital transformation will be easily available and will be successful in terms of converting the organisations into a smarter one. The IoT enabled business organisation will always rely upon the connectivity and will be inherently exposed which is the main reason that every key asset within the chain will be protected throughout the process.

Following is the comprehensive life-cycle of the IoT systems:

Identification: Device identity must be unique, immutable and well protected this particular route of rest and forms the basis of all other kinds of security functions and systems.
Device: The IOT device will be often very much mature in comparison to the uncontrolled environments and will allow the hackers to access the interpret data, upload the malware and have proper access to the load features without any kind of problem.
Data: Data can be there on a device server or in the motion between the chips or across different ways of networks which will be based upon a higher level of privacy and confidentiality and everything has to be protected to ensure that there will be a higher level of authenticity throughout the process.
Decisions:Whether a single logic or artificial intelligence-based systems will be their software decisions will be very much successful in terms of executing things perfectly and will make sure that integral data will be successful in terms of making sure that there will be no intellectual property theft.
Commands:The commands are considered to be the orders sent to the devices which will make sure that they need to be securely validated coming from a legitimate source and will make sure that everything will be perfectly carried out.
Actions: Actions in the physical world will help in making sure that there will be proper stoppage of the assembly line and organisations will be very much legitimate as well as authenticated in terms of their commands that will be successful in terms of boosting the productivity and safety.

Following are some of the most common advantages of depending upon IoT security:

This concept is very much successful in terms of enabling new business models and will help in making sure that authentic as well as tested data from the devices will be there which will further help in ensuring accurate billing procedures without any kind of problem.
It will help in enabling the new features without any kind of issue and will ensure that securely controlling of the devices will be carried out which will help in preventing service theft.
It will help in enabling regulatory compliance by ensuring the industry-specific rules for data privacy and safety along with encryption and authentication-based demands.
It will help in enabling competitive differentiation along with security solutions that will help in giving the customers proper confidence about the solutions and will never let them down.
This concept is successful in terms of enabling data privacy and will ensure that end to end encryption will be perfectly carried out.
The concept is successful in terms of enabling the local decision based on artificial intelligence because logics will be implemented throughout the process and everything will be protected very easily.

Hence, depending upon IoT security is considered to be one of the best possible ways of ensuring that project goals will be easily and efficiently met by ensuring a good amount of integrity throughout the process which will help in impacting the revenue and reputation very positively.

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Unlock the Future: Master Artificial Intelligence with Great Learning’s Comprehensive AI Course

Published

4 months ago

August 4, 2024

sylvia J

Master Artificial Intelligence with Great Learning’s Comprehensive AI Course

It is vital that workers learn these skills as AI, generative AI and machine learning continue to advance.

The rise of artificial-intelligence-based technologies (AI) is unquestionable today, as is their potential to disrupt various types of work, including language processing, pattern recognition, problem solving, and even decisions.

ChatGPT, for example, represents a completely new field of technology. This includes generative AI, a subset artificial intelligence that is focused on creating original music, images, and text by learning from previous examples. Generative AI, instead of copying or recognising predefined patterns based upon rules, uses complex algorithms based often on neural networks to create original content.

These developments have been made possible by the huge advances in machine learning, a branch of AI which involves teaching computers how to learn using data. Data collection, model-training, learning from data, examining model output, and adjusting parameters are all part of this process. The development of neural networks, a type of computational training model inspired by the brain, has been made possible through machine learning. These models are built from interconnected virtual “neurons” that are organized into “layers” to process data. This system allows a model to be taught how to balance different parameters in order to recognise patterns and learn them, as well as make predictions and complete tasks. Deep learning is another name for this subset of machine-learning.

Deep learning focuses on training artificial neural networks with multiple layers to represent complex data. The term ‘deep’ refers to the depth of the neural network, meaning the many layers of inputs or outputs. This system has been highly successful in solving tasks like image recognition (recognising images/faces/patterns), natural language processing (ChatGPT-like models which can understand and generate human-like responses, most often used to power chatbots) and speech recognition (used for voice assistants or transcribing speech to text) among others.

It is important that we start to learn about these new technologies, given the potential disruption AI will bring to our world. Many people think that you have to be a software or computer engineer to grasp these concepts. However, anyone can do so regardless of their educational background.

Here are four online certificate programmes that can be accessed for free by leading industry players like Microsoft, Google and Infosys. They can all be accessed for free online

GUVI AI for India 2.0 program

The Government of India launched AI for India 2.0 – a free online course that focuses on AI. Skill India has developed the course in collaboration with GUVI. The program has also been accredited by IIT Madras and the National Council for Vocational Education and Training.

This is a virtual one-day event for the development of tech skills in collaboration with the Ministry of Skill Development & Entrepreneurship. It will be held on 15th August. As part of their preparation, participants will have free access to LEVI’s premium course from July 15th.

GUVI is a personalized learning company founded by IIT Madras, IIM Ahmedabad. It offers online learning and upskilling opportunities for learners. GUVI offers these courses in a variety of regional languages.

Infosys AI certification courses

Infosys launched a free AI Certification Training Program to help users develop new skills. The Infosys Springboard platform offers a free AI course.

The platform offers several other certifications courses on AI-related topics. These courses are designed to be introductory and cover AI, generative AI and deep learning. The platform offers master classes in AI and generative AI.

Infosys Springboard, a virtual learning platform, offers curriculum-rich experiences. Candidates can access corporate-grade training online, from any device. The platform is a part of Infosys CSR commitment, which aims to empower 10,000,000+ people with digital skills by 2025. It caters to all learners, from class 6 up to lifelong learners.

Microsoft’s course on generative AI

Microsoft has created a new AI skills programme to assist people in learning this subject. This initiative is part Microsoft’s Skills for Jobs program, which includes free coursework created with LinkedIn.

The new course teaches AI frameworks, introductory concepts and provides a certificate of completion. Microsoft believes AI will disrupt the workplace and that this course helps people to improve their AI skills..

Google Cloud AI courses

AI and machine-learning careers are in high demand at the moment. This is especially true when it comes to Google Cloud. The potential applications of generative AI are vast, including in the fields of information technology and branding. Machine learning is a powerful tool that can be used to help workers understand data, create models, and create interactive functions. These skills will become essential in the future for data scientists, machine learning engineers, and data engineers.

Great Learning’s Digital Marketing Course

Great Learning offers an in-depth AI course designed for both beginners and professionals who seek to master artificial intelligence. This course covers essential AI concepts like machine learning, deep learning and natural language processing as well as more advanced topics like computer vision and AI ethics. Taught by industry professionals, this course features video lectures, hands-on projects, and real-world case studies to hone practical skills. Convenient and flexible to fit into busy schedules, it is accessible even for working professionals. One can also enroll in a power bi course to complement this course. Participants who successfully complete this course earn an AI certification that can significantly advance their careers – along with additional career support and networking opportunities – offering a complete pathway towards AI success.

Tech

5 ways that PopAI helps impress your boss?

Published

5 months ago

June 24, 2024

sylvia J

5 ways that PopAI helps impress your boss?

Impressing your boss with your work is a difficult task to do. You may be a hard or smart worker, but a boss can find flaws in you. Yes, it can be stressful sometimes because you give 100% to the work.

Especially in presentation tasks, your boss may need more creativity.

But I have a solution for you! You don’t need to spend hours making large presentations.

Interesting?

You can do this with the help of PopAI, And I will explain in detail how PopAI helps impress your boss and excel in your workspace. Here are 5 ways that PopAI can set you apart from others.

1. Increase in efficiency and productivity

One of the primary benefits of using this AI is that it increases the efficiency and productivity of employees. With the help of this tool, employees work faster with great results. It allows you more time to focus on strategic decisions and creativity, rather than doing repetitive tasks.

It can handle appointment scheduling, generate reports, and e-mail filtering. With this facility, your creativity and time on the strategic part will be noticed by your boss and he will be impressed by your enhancement in productivity.

2. Data-Driven decision making

AI tool is best at transforming complex data into meaningful data that is easy to understand in the form of graphics, charts, etc. Problems can be identified very fast through insights, whereas it is quite difficult to achieve this through manual analysis. So just imagine, providing data-driven analysis to your boss and giving solutions to the same will do wonders for your reputation in front of your boss.

3. Improved customer service

It facilitates improving customer service. With AI-driven chatbots, it can help you provide prompt and reliable responses to customers. These tools can operate 24/7, which means it is available after business hours. With this approach, customer satisfaction will be increased and following this business will also get a good name in the market.

4. Helps in making business presentations

Time is limited, but work in the company sometimes gives stress to the employees, especially when the boss gives a task of making a presentation at short notice. It will be more difficult when you are not good at colour combination and creating graphics.

So here It comes into the picture, with its Ai for presentation tool, you can make as many presentations as you want in minutes. You just have to enter a topic, select the audience tone, and select the pages and language. With its AI-driven tool, it will suggest colour combinations, and layouts and make your presentation engaging through wonderful visuals in the form of charts and graphs.

5. Collaboration and communication

This AI tool has a wonderful feature that organizes tasks, sets deadlines, and monitors progress. It becomes very handy during office meetings, when you can communicate with your team, that this particular project needs data. With this, the performance can also be tracked and what needs to be done.

Effective communication leads to better results and it can give you value in the company and helps you in gaining skills related to leadership and team player skills. There is a high possibility that with this effective approach, you will achieve positive results for your company.

Conclusion

Having PopAi is like an asset not only does it contribute to individual growth but also it gives wings to the overall success of the company. It possesses a multi-tasking feature that not only fastens the work but also gives you more creative options in using this wonderful tool.

So as a professional, if you want to win the competition, then you need to adopt this kind of tool which increases your productivity as well as improves your leadership skills.

Tech

BLDC Motor Controller Design Principles

Published

7 months ago

April 25, 2024

sylvia J

BLDC (Brushless DC) motors are widely used in various applications, from consumer electronics and appliances to automotive and industrial systems. To control the speed and direction of BLDC motors, specialized motor controllers are required. At Integra Sources, we specialize in designing custom BLDC motor controllers that meet the unique requirements of our clients’ applications.

What Is a BLDC Motor Controller?

A BLDC motor controller is an electronic device that controls the speed, direction, and torque of a BLDC motor. It consists of a microcontroller or digital signal processor (DSP) that generates the control signals for the motor’s power electronics, including the power transistors or MOSFETs. The BLDC motor controller also includes feedback sensors, such as Hall effect sensors or encoders, to provide feedback on the motor’s speed and position.

Key Design Principles of BLDC Motor Controllers

Sensorless vs. Sensored Control: BLDC motor controllers can be classified into two main types: sensorless and sensored control. Sensorless control relies on the back electromotive force (EMF) of the motor to determine its speed and position, while sensored control uses external sensors, such as Hall effect sensors or encoders, to provide feedback. The choice between sensorless and sensored control depends on factors such as cost, complexity, and performance requirements.
Commutation Techniques: BLDC motors require electronic commutation to control the timing of the motor’s winding currents. There are several commutation techniques used in BLDC motor controllers, including trapezoidal (six-step) commutation and sinusoidal (vector) commutation. Trapezoidal commutation is simpler and more cost-effective but may result in lower efficiency and torque ripple. Sinusoidal commutation provides smoother and more efficient motor operation but requires more complex control algorithms and hardware.
Control Algorithms: The control algorithm used in a BLDC motor controller determines how the motor’s speed and torque are regulated. Common control algorithms include open-loop control, closed-loop speed control, and closed-loop position control. Open-loop control provides basic speed regulation but does not account for variations in load or motor parameters. Closed-loop control algorithms use feedback from sensors to adjust the motor’s speed and position in real time, providing precise control over the motor’s operation.
PWM (Pulse-Width Modulation) Techniques: PWM is used to control the average voltage applied to the motor windings, thereby controlling bldc motors. There are several PWM techniques used in BLDC motor controllers, including six-step commutation PWM, sinusoidal PWM, and space vector modulation (SVM). These techniques vary in complexity and efficiency, with space vector modulation offering the highest level of control and efficiency.
Overcurrent and Overtemperature Protection: BLDC motor controllers must include protection features to prevent damage to the motor and controller in the event of faults or overloads. Overcurrent protection limits the motor’s current to prevent overheating and damage to the motor windings. Overtemperature protection monitors the temperature of the motor and controller and reduces the motor’s power if it exceeds a safe threshold.

Integra Sources’ BLDC Motor Controller Design Services

At Integra Sources, we offer comprehensive BLDC motor controller design services to help businesses create custom motor control solutions for their applications. Our services include:

Requirements Analysis: We work closely with our clients to understand their specific requirements and develop a detailed specification for the BLDC motor controller.
Hardware Design: Our experienced hardware engineers design the circuitry and PCB layout for the BLDC motor controller, ensuring optimal performance and reliability.
Firmware Development: Our software engineers develop the control algorithms and firmware for the BLDC motor controller, including PWM control, commutation algorithms, and protection features.
Testing and Validation: We provide rigorous testing and validation services to ensure that the BLDC motor controller meets our clients’ performance and reliability requirements.
Certification Support: We assist our clients with obtaining the necessary certifications for their BLDC motor controller, including CE, UL, and RoHS compliance.

Conclusion

BLDC motor controllers play a critical role in controlling the speed, direction, and torque of BLDC motors in a wide range of applications. At Integra Sources, we specialize in designing custom BLDC motor controllers that meet the unique requirements of our clients’ applications. Contact us today to learn more about our BLDC motor controller design services and how we can help you bring your motor control project to life.