Organisations have been utilising sensors for a long time, but the Internet of Things (IoT) has pushed sensor technology to a whole new level. Nevertheless, this new connectivity revolution has already begun, with more than 50 billion linked gadgets. When used with a range of sensors, IoT systems work and offer several types of information and data. A network of connected devices can use IoT sensors and devices to gather, push, and share data. As a result of all the acquired data, gadgets can function independently, making the entire ecosystem grow 'smarter' every day.
Here is a catch!
Because of IoT, physical sensors can immediately communicate their data onto virtual dashboards without human intervention. IoT sensors come in various shapes and sizes, and there are countless applications of sensors in everyday life.
Let us first understand what an IoT sensor is.
What is an IoT Sensor?
The market remained in saturation with measuring devices, such as thermometers, magnetometers (for example, compass), altimeters, and many others until the Internet of Things existed.
One real-world variable is what these sensors are designed to detect, measure, and report to the users in layman's terms. Ultimately, they are designed to help us understand the world around us in a quantifiable, universal way that anybody can grasp.
According to the theory behind this technology, using IoT modules, next-generation IoT sensors may combine and transfer their data straight to an IoT dashboard, making it faster and easier to make crucial choices.
Role of IoT Sensors
Sensors play a crucial part in the development of IoT systems. When external information is detected, sensors convert it into a signal that people and machines can recognise.
It is now feasible to collect data in almost any circumstance, thanks to IoT sensors and devices. The world uses them in a wide range of areas, including medical care, nursing care, industrial applications, and logistics and transportation.
The market for sensors continues to develop with the rise of sectors in which sensors play a significant role.
Applications of IoT Sensors in Real-World
Many leading firms are turning to the Internet of Things to acquire a competitive edge. Besides, increasing operational efficiency through real-time data management and automation of operations is a top priority for companies worldwide.
Organisations can also create and deploy more comprehensive risk-management strategies with new IoT applications.
Moreover, the technology is helping companies upgrade their operational performance. As a result of IoT, enhanced features such as task automation and remote control are possible. Hence, companies can achieve a better balance between energy use and conservation.
Furthermore, we can say that companies will be able to minimise their carbon footprint impact by becoming more energy efficient.
Common Types of Sensors in IoT
Here's a list of some of the most commons types of sensors in IoT:
1. Temperature Sensors
2. Humidity Sensors
3. Pressure Sensors
4. Proximity Sensors
5. Level Sensors
7. Gas Sensors
9. Optical Sensors
10. Infrared Sensors
11. Water Quality Sensors
12. Air Quality Sensors
13. Chemical Sensors
14. Smoke Sensors
15. Motion Detection Sensors
16. Image Sensors
17. Light Sensors
18. Sound Sensors
19. Magnetic Sensors
20. Metering Sensors
IoT Sensors Functionality
Generally, sensors are functionally simple devices that transform physical variables into electrical impulses. In addition to this essential capability, sensors must also have the following characteristics to serve as IoT components:
The world will widely use IoT sensors and devices in multiple sectors to meet social requirements in the future. Sensors will always play an essential role in our daily lives and work settings.
The Internet of Things (IoT) opens up a world of possibilities for companies. Moreover, many sectors have already been influenced by IoT technology, steadily altering the corporate environment. Additionally, IoT sensors will significantly contribute to work-style changes because of their exceptional ability to monitor without human involvement.
Cloud Technology refers to the distribution of various services through the internet using the cloud computing model. Tools and applications such as data storage, servers, database, networking and software, are examples of these resources.
Information Technology (IT) is delivered through the internet or a specialised network in the cloud, with on-demand distribution and payment, depending on consumption. Applications, development platforms, servers and virtual desktops are all cloud-based services.
Various application and infrastructure demands, such as Customer Relationship Management- CRM, database, computing and data storage, are met by cloud-based services in both the private and public sectors. Compared to a typical IT system, where software and hardware are financed upfront by departments and installed for months, cloud-based services offer IT resources in minutes to hours and align prices with actual usage.
As a result, firms become more flexible and can better control their expenditures. Customers use cloud-based services for similar purposes, such as simplifying application usage, archiving, sharing, protecting material and allowing access from any web-connected device.
In addition to cost savings and greater productivity, cloud computing is popular among individuals and organisations for various reasons, including performance enhancement, speed and efficiency, and safety.
Cloud computing services include various possibilities, from storage and networking to artificial intelligence and typical office programs. Services that do not require one to be physically present at computer hardware can now be offered via cloud computing services.
Cloud Computing Example
As a result of cloud computing, a wide range of services are available. Services like Gmail and cloud backups of smartphone pictures are examples, as are services that allow significant companies to host all their data and operate all their apps in the cloud. Moreover, several movie/video apps use cloud computing to manage their streaming service and other business processes.
What is Cloud Storage?
Cloud storage refers to a service paradigm where data is sent and stored on remote storage systems. It is managed and backed up before being made available to users through a network, generally the internet. Most often, users pay a monthly fee for their cloud data storage based on consumption.
Besides, cloud storage relies on a virtualised infrastructure with readily available interfaces, near-instant elasticity and scalability, multi-tenancy and metering of resource usage. A third-party cloud provider manages a data centre where cloud-based data is kept in logical pools across different commodity storage systems.
Types of Cloud Storage
There are three types of cloud data storage: Public Cloud, Private Cloud and Hybrid Cloud.
1. Public Cloud : Public cloud is a subscription-based storage service that provides a multi-tenant storage environment best suited for unstructured data. Data is kept in a data centre and dispersed over many countries or continents as a service provider in the public cloud.
2. Private Cloud: A private cloud service is an internal storage resource protected behind a firewall. Users, who want customisation, more control over their data, and have a great requirement for regulatory or data security benefit from private clouds.
3. Hybrid Cloud: Hybrid cloud is a blend of private and public cloud storage services from third parties, with a layer of orchestration management to connect the platforms.
Types of Cloud Services
1. Infrastructure as a Service (IaaS): It is an entry-level cloud computing service where IT infrastructure can be rented from a cloud service provider on a pay-per-use basis, including servers and virtual machines (VMs), storage, networks, and operating systems.
2. Platform as a Service (PaaS): Platform as a Service provides a development, test, delivery and management environment for software applications. Web and mobile app developers may create apps faster using PaaS since they do not have to set up or manage the servers, storage, network and databases required for the development.
3. Serverless Computing: Serverless computing, which overlaps with PaaS, focuses on creating app functionality without constantly managing servers and infrastructure necessary to do so. Setup, capacity planning, and server administration are all taken care of by the cloud service provider. Besides, event-driven and scalable serverless systems use resources just when a specified function or trigger happens.
4. Software as a Service (SaaS): Software as a Service allows users to access software programs using the internet on-demand basis and generally through subscription. In most cases, users use a web browser on their phone, tablet, or PC to access the program. A cloud service provider hosts and maintains the software application and infrastructure. It provides any necessary maintenance such as software upgrades and security patches for SaaS applications.
The Future of Cloud Computing
Although cloud computing has been around for a long time, it is still at an early adoption stage. Many organisations are on the verge of deciding which apps to migrate and when to do so. However, as companies are getting more comfortable with the concept of having their data stored in someplace other than a server in the basement, usage of cloud computing is rapidly increasing.
Some firms state that moving data, applications, software etc., to the cloud may help organisations rethink business processes and speed up transformation by breaking down data and organisational silos.
Mechatronics combines the multi-faceted aspects from the field of computer, electric, and mechanical engineering aimed at building smarter and simpler systems.
Though originally conceived as an acronym for the words "Mechanical Engineering" and "Electronics" dating back to the 1960s, Mechatronics has been developing and growing ever since. Modern-day mechatronics carries a lot of real-world impacts and can also integrate elements such as artificial intelligence, network security, telecommunications, optical engineering, systems, and control.
What is Mechatronics used for?
Mechatronics can be integrated into various industries and be applied to support applications. Although it is more common in the production of manufacturing including consumer goods, industrial products, automobiles, electronic products, etc., mechatronics has become an integral part of healthcare, transportation, and many other domains.
Listed are some common mechatronics applications:
Mechatronics is applied in many different industries and applications. The discipline lends itself to vast applicability in diverse career paths.
Mechatronics and the Fourth Industrial Revolution
The fourth industrial revolution—also called industry 4.0 and Mechatronics is a key component of Industry 4.0.
It is a term widely used to describe the digital transformation of all industries. It is usually characterized by the combination of physical and mechanical systems with digital and even biological worlds. Cloud computing, artificial intelligence (AI), blockchain, robotics, advanced wireless technology, and the Internet of Things (IoT) are all signs of this revolution, and we are still in it today. The fourth industrial revolution employs something called cyber-physical systems. This system involves multiple sensors and connected devices that converse or communicate, exchange data, and make sound decisions with other devices.
Although Industry 4.0 can transform many industries, occupations, those who understand the field of Mechatronics may be better able to withstand this disruption and excel. With this growth comes many possibilities. There is a range of opportunities to explore in private and public sector units. You can work in the automation sector, equipment building and maintenance factories, and so on. Depending upon the industry that one joins, the responsibilities or the job role will differ. As a mechatronics engineer, get the chance to leverage your expertise and be a part of a workforce that develops smart technologies.
While in the past, it was a common practice to move into the mechatronics field without a degree, these days employers prefer candidates who have specialized education in this domain. With the evolution in technology and innovations that come up each day, it is vital to stay ahead of the competition. A degree in Mechatronics will equip you with the required skill-sets, relevant knowledge, and trends.
It is often seen that students end up choosing engineering due to a lack of awareness about other career options and streams. Another scenario involves students who do not know the right attributes required to be an engineer end up getting confused and choosing the wrong career option.
Students who wish to pursue engineering as a stream often choose Bachelor of Technology (B. Tech) with specialization in a particular field. B. Tech is a four-year degree program with minimum eligibility of 10+2 or an equivalent qualification. Many students appear for entrance exams like JEE Advanced, JEE Main, JET, etc. for various engineering courses and colleges in India. With so many options available, students often find it difficult to choose one relevant specialization to suit their requirements.
The field of engineering is an ever-developing field that includes understanding and studying the theories of science and technology along with their practical applications. The knowledge that students attain is not just limited to the classrooms. The main objective is to drive future engineers towards innovation, research, and development for a bright, better, and functional society.
Popular engineering specializations include:
The framework of a B. Tech program is designed keeping in mind the specialized fields of engineering, wherein students pursue both theoretical as well as practical knowledge. The course includes classroom lectures, practical classes, industry visits, and an internship program. In most engineering colleges, students have a common set of subjects like physics, chemistry, manufacturing science and technology, applied mathematics, engineering design, etc. In the second year of Bachelor of Technology, students are exposed to specialized courses associated with their respective streams. Engineering students need to have adequate experience in fieldwork and internships, as these experiences make them industry-ready and efficient.
Below are some of the questions which students need to answer honestly to decide whether they are suited for engineering or not.
If your answer to most of the above questions was a yes, then it is safe to assume that you are suited for engineering. A carefully planned decision must be taken after considering individual interests, strengths, and opportunities.
The campus placements offered by an educational institution have now become a modern parameter to evaluate its success and reputation. In addition to maintaining goodwill, campus placements also help an educational institution display an image that its students are its utmost priority. It enables students and their families to establish their trust in a particular college or university.
In the last few years, over 200 prospective recruiters have hired more than 4,000 students from our various campuses, which has been an outcome of a very precise placement process adopted by the Student Career Advisory and Placement Support at JAIN (Deemed-to-be University). The dedicated placement team has always kept itself ahead of its peers by constantly evolving the hiring process, thereby creating a niche for itself. The 7-step placement process designed by us helps students land opportunities that they have always sought, for it is unique, well-planned, and designed to provide assurance and confidence to students.
The 7-step placement program includes:
Orientation: This step includes sharing information about the placement process, guidelines, major recruiters, and previous years' statistics with the students. The orientation session is conducted by the Director – Placements or the Chief Placement Officer accompanied by the Dean, Director, and faculties.
Data Capture: Data capture across various parameters is carried out for all the students and this plays a crucial role in the recruitment process. A consolidated Data Capture Format is used by the Student Career Advisory and Placement Support Team for classifying students as per the requirements of various companies.
Student Mapping: This step involves interacting with the students and then mapping them to the job opportunities. Based on the mapping, the Career Advisory and Placement Services Team analyzes the interests of the students and invites the recruiters accordingly.
Placement Training: Every student who has applied for campus placements will have to undergo the Campus Recruitment Leadership Training Program in association with the Institute of Skills (IOS). It includes in-house training (aptitude, group discussions, mock interviews, etc.), guest lectures, workshops, and alumni interaction.
Recruitment Process: The recruitment process is subject to change based on the request from the recruiters. If the applications for a particular job requirement are less in number, the company can conduct the process at their campus or a different venue, based on their convenience.
Final Selection: Once the companies are over with the recruitment process, the recruiters have to provide the names of selected students. After confirmation from the recruiters, successful students are informed about their selection.
In addition to the above-mentioned placement process, the Student Career Advisory and Placement Support Team invites thought-leaders, entrepreneurs, executives, and policymakers for interaction with the students. It involves guest lecture series, conferences, seminars, workshops, industry visits, industry-recognized certifications, summer internships, and a Memorandum of Understandings (MOU) with the industry. To be successful, we forge on both host recruiters and students.
The requirements of recruiters:
The approach of students:
The Student Career Advisory and Placement Support Team at JAIN (Deemed-to-be University) works in tandem with recruiters to provide both the students and recruiters a hassle-free and smooth process that serves their requirements.
Computer science is the study of what computers can do and applications of computations i.e., both theoretical and practical.
Computer Engineering is a combination of electrical engineering and computer science and is about the study of computer hardware and software.
Computer Science and Engineering is a broad domain of computer science and computer engineering
At the Postgraduate level, the graduates are expected to be industry-ready and solve real-world problems through innovation and research. At the entry level, applied computing engineers will have the experience and skills required for leadership positions in the industry and ready to solve day-to-day organizational problems using technology. The curriculum should blend the practical and business skills required for graduates to be multidisciplinary and ready for future technology demands of the industry. If we want the learners to equipped with skills to learn, then the learner's focus should be shifted from listening and behaving to
Engagement in learning is a significant achievement in jobs and outcomes. Students should be kept engaged to develop lifelong learning skills, to guide them to explore and achieve their career goals. The curriculum should focus on meaning and has relevance to each learner and allow them to contribute to the local and global community around them. what will be more important is faculties to research their content, delivery, and assessment and continuously improve teaching practice to meet the needs of changing learners.
It is a broad domain of computer science where the learner is allowed to explore all possible topics in achieving his carrier goals. Applied computing prepares the learners to be innovative, competent, and industry-ready by the ability to think critically about how to best use their technical skills in solving problems and create a positive impact within the organization. Applied computing is a combination of applied and theoretical computer science and learners focus on developing analytical thinking and applied skills by blending theoretical and practical aspects to solve day-to-day business problems by applying technology. by applying the computing and business skills.
Theoretical Computer Science
Theoretical Computer Science focuses on problem-solving everyday computation using Mathematical Logic, Programming Language Theory, Machine Learning, data structures and algorithms, Automata Theory, Graph Theory, Number Theory, Computability theory, cryptography, Quantum Computation, Parallel and Distributed Computation, Information and Coding Theory, Formal Methods.
Applied Computer Science
Applied computer science focuses on the Internet of Things, Artificial Intelligence, Cloud Computing, Blockchain, Big data and data mining, Software Engineering, Computer Vision, Natural Language Processing, Computer Networks, Parallel and Distributed Systems, Database Administrator.
Business skills are essential skills required to connect, communicate, cooperate and succeed. Business skills along with technical skills are required for success. It is possible by embedding courses that are goal-directed, building leadership qualities, building organizational strategy, decision making, communication skills, project management, interpersonal skills, Analytical and Problem Solving as multiple core disciplines and electives offered. Business skills will help the organization to achieve its goals.
Innovative Learning Environments
Cooperative Learning:here students work together and are responsible for one another’s learning as well as their own. Emphasizing thinking and increasing higher-order learning. It has a range of educational benefits, including an alternative to ability grouping and as a way to prepare students for an increasingly collaborative workforce.
Service Learning: education engages students in community services that are integrated with the learning objectives of core academic curricula. This experiential approach is premised on providing students with contextualized learning experiences based on authentic, real-world situations in their communities.
Learning with technology: learner-centered approaches to technology-enabled learning can empower learners and leverage good learning experiences that would not otherwise have been possible. Technology also often offers valuable tools for other building blocks in effective learning environments, including personalization, cooperative learning, managing formative assessments, and many inquiry-based methods.
Formative assessment: formative evaluation guides learners to better outcomes by providing feedback that continually informs the learner, the teacher, and the learning itself.it is targeted towards three key questions
Inquiry-based learning: students need opportunities to develop higher-order cognitive skills. One important context does this is through inquiry-based approaches in complex, meaningful projects that require sustained engagement, collaboration, research, management of resources, and development of an ambitious performance or product. Relevant approaches include
Future Perspectives for Employability
Todays, goal-oriented applied computing majors become leaders and key assets in the workplace. Applied computing graduates will take up leadership roles in the organization as they are specialized in technologies required in the market and future demands. With changing technology and skills required by industry, students should continuously learn and prepare for future challenges.