The Fourth Industrial Revolution has brought about a ‘major shift in the future of jobs’. Disruptive technologies, driven by Industry 4.0 is rapidly shifting the frontiers between the work task performed by humans and those performed by machines. Close to 1 billion global workers are at risk of being replaced by robots and AI by 2030, and a new set of jobs are emerging where Human skills and EQ will be most important and valued. As machine intelligence rises, education needs to produce better human competence to drive MI and AI.

It is, therefore, critical that Universities revamp their education to skillfuture generation of students for employment.

Industry 4.0is impacting the workplace and society, with breakthroughs like artificial intelligence, robotics, 3-D printing, autonomous vehicles and smart factories.

Industrial and Manufacturing employers are faced with the single greatest transformation seen in a generation and they are struggling to employ skilled talent in the Industry 4.0 era. As the need for talent well-versed in Industry 4.0 technology grows, industrial employers will demand from Educational Institutions to rise to this challenge and prepare the future generation with the right skills.

Universities must therefore transform what they teach and how students learn at a time when 21st century knowledge and skills in data analytics, big data, cloud computing, AI and automation are critical for producing employable, future-proof graduates.

Industry 4.0 is defined by Connected Cyber-physical systems, powered by IoT and fueled by data, create a fully interconnected society. In essence, computers and machines communicate with each other over a network without requiring human interaction, freeing up workers to focus on tasks that are exclusively human, such as invention, art, science and exploration.Industry 4.0 is poised to progress workers from assembly lines into more modern jobs.In such a hyper-connected disruptive world, Education has no option but to adapt to these changes in Industry which are brought by disruptive technologies.

The industry is experiencing a skills gap with not enough qualified workers available to fill open positions. Essentially, there are high-paying jobs for the taking, but employers are struggling to find qualified candidates to fill them. So, by exposing students to Industry 4.0 at school and university, educators should set them up for professional opportunity and success.

While Current jobs may be well-paying positions, many of these jobs won’t be around forever. Students could get a jump start on Industry 4.0 while they’re still in high school, giving them a head start on becoming an expert, while preparing them for the high-paying Industry 4.0 career.

To prepare students for Industry 4.0 Era, Universities must focus on these 4 areas of teaching.

• AC /DC
• STEEPER/SERVO

The manufacturing industry is constantly evolving with the advancement of technology, where new processes, tools and equipment allow manufacturing companies to produce products more efficiently.

Advanced manufacturing leverages the innovation in technology to manufacture better and improved products and/or improve the manufacturing processes. By integrating technological processes into manufacturing, companies are becoming more efficient in their production processes by increasing output, reducing waste, conserving energy better, reducing emissions and thereby increasing their profitability.

While more industries pursue Advanced Manufacturing, they are seeking new talent that can help them achieve their goals. Therefore, this field is very attractive for students who are interested in manufacturing systems and like to develop a career in advanced manufacturing systems.

EdNex helps universities and industries to implement training solutions that can help develop a skilled workforce to achieve their advanced manufacturing goals.Students will learn from a range of topics that include :

Water Jet Cutting Machine

Desktop waterjet cutting machine cut any materials by combining high-pressure waterjet technology with several electro-mechanical systems to bring you an all-in-one cutting solution. These compact waterjet machines allow you to make things with professional-grade quality and are a must-have for every workshop. Some of the material that the waterjet can cut through are Aluminum, Copper, Stainless Steel, Steel,Titanium, Plastics and Rubber,Ceramics, stone and Carbon Fibre.

Plasma Cutting Machine

The Plasma mechanized systems are used to cut a wide range of conductive materials, including mild steel, carbon steel, stainless steel, aluminum, copper, brass, and other metals.Plasma Cutter systems include a range of plasma cutting tables for education that are engineered to deliver optimal repeatability and performance for your classroom or FabLab. With several sizes to choose from, the Plasma Cutter Pro machines fit easily into any classroom and require no assembly, arriving at your facility ready to use.

The plasma cutting systems also come with:

Hypertherm CNC Plasma Torch Systems: Portable, professional-grade air plasma cutting systems for cutting and gouging of any electrically conductive metal.

Mach3: A CNC plasmasystem that helps control the motion of the router by processing G-Code into physical movements. While offering many advanced features found in more complex control systems.

VCarve Pro: The best and easiest to use CAD/CAM software for CNC routers, VCarve Pro is used to create the files used by the router to bring projects to life. This software works with 3D / 2D files created by your favorite CAD software and popular graphics files like JPEG and SVG for those more artistically inclined.

Metal Fiber laser cutting Machine

Perfect for space constrained applications, the Fiber Laser Metal Cutting Machine operates at the same laser power and capabilities as the flatbed 500w fiber laser but in a footprint that will fit through a regular doorway. Rapidly cut many metals with a kerf less than 25um (0.001″): alloy/carbon/stainless steel, copper, aluminum, gold, silver, titanium. Applications include sheet metal enclosures, car bodies, jewelry and more.

Metal 3D Printer

This high-caliber 3D metal printer deploys a laser-based powder-bed fusion technology in which a fiber laser selectively melts thin layers of metal powder, one at a time, to create parts directly from a 3D-CAD model. Metal powder-bed fusion provides high-quality and complex parts. It reduces total cycle time by about 50% and removes the need for wash/debinder and sintering/oven equipment used in bound metal deposition, atomic deposition additive manufacturing or other FDM-like metal 3D printers.

Industries are looking for people with specialized skills who can:

• Implement and control automated manufacturing processes
• Design components and assemblies
• Use 3D printers, laser cutters, and CNC equipment to fabricate prototypes
• Illustrate flow of materials and resources within the manufacturing cycle
• Control a manufacturing system to create finished product
• Program material handling robots and equipment
• Perform system analysis and master the troubleshooting process
• Master lean manufacturing process to maximize production of a product

Have theoretical knowledge and hands-on practice in electronics, mechanics, computer systems and software control systems.

Autonomous vehicles are one of the most exciting emerging mobility solutions that is impacting both private mobility as well as public transit. Other significant areas where autonomous mobility has a significant role to play include transportation of goods and material, security, as well as surveillance among others.

According to some estimates, there will be over 20 million autonomous vehicles operational by 2030, creating more than 100,000 new jobs in U.S. alone during the next decade. It is therefore an urgent need to develop a talent pool that can contribute significantly in the development and research of these autonomous mobility solutions and fill this talent gap in the industry.

Autonomous Vehicles Research Studio :

This is the ideal solution for academics and researchers looking to build an indoor multi-vehicle lab in a short amount of time. Consisting of QDrone quadrotors and QBot 2e ground vehicles, ground control station, vision, and safety equipment, the Autonomous Vehicles Research Studio is the only option to jumpstart autonomous robotics academic and research programs and be productive in a very short amount of time.

QDrone :

The QDrone autonomous air vehicle is a midsize quadrotor equipped with a powerful onboard Intel® Aero Compute Board, multiple high-resolution cameras, and built-in Wi-Fi. As part of the Autonomous Vehicles Research Studio, this direct-access research-grade drone is tuned to accelerate your research and is ideal for innovative research in multi-agent, swarm, and vision-based applications.The durable, light-weight carbon-fiber frame makes the QDrone highly maneuverable and capable of withstanding high-impact applications with little downtime required for repairs. The powerful on-board processor, RGB-D and optical flow cameras enable high-quality on-board video processing, as well as streaming for real-time monitoring.

QBot 2e :

The QBot 2e is an innovative open-architecture autonomous ground robot, equipped with built-in sensors, and a vision system. Accompanied by extensive courseware, the QBot 2e is ideally suited for teaching undergraduate and advanced robotics and mechatronics courses, surpassing capabilities of hobby-level robotic platforms. The open-architecture control structure allows users to add other off-the-shelf sensors and customize the QBot 2e for their research needs.

The QBot 2e is built on a two-wheel differential drive platform with built-in DC motors and sensors. It utilizes a wireless embedded computer to command motor velocity and measure the onboard sensors including bump, cliff, and RGBD. The embedded system also provides several I/O channels for interfacing additional digital and analog sensors. The integrated RGB camera and depth sensorsare capable of capturing RGB image data and 11-bit depth data and transmitting the data at a high frame rate. The QBot 2e operates using a host-target structure. Controllers are developed on the ground station host using QUARC for Simulink®. Real-time code is downloaded from the host to the QBot 2e embedded computer and allows users to run, modify and monitor code remotely from the host. The controllers on-board the QBot 2e are open-architecture and fully modifiable.

This is an autonomous vehicle robot equipped with LiDAR sensor and steering system based on OSEK RTOS. You can learn about LiDAR sensor and other various sensors as well as self-driving, ROS and SLAM through this equipment.

LiDAR Steering SmartCar OSEK RTOS was created to support the research of ICT convergence service using intelligent mobile robot based on OSEK RTOS and the training of high value human resources. It combines data from acceleration, magnetic, and gyroscope sensors with vision, including 12 ultrasonic sensors and 8 infrared sensors. It can be used to develop innovative autonomous navigation algorithms and application services for mobile robots.

• Based on OSEK RTOS, 32 bit micro-controller is applied and about 20 practical exercise and programs are provided.
• Priority-based real-time scheduling function is included.
• Supports CAN network technology and Cortex-M4 core for internal communication of vehicles.
• Automobile robot with LiDAR sensor that includes collision avoidance exercise and location tracking exercise to learn about ROS and SLAM.
• By supporting the ADK-based electronic device development environment, the Google Smart Device Peripheral Design Platform, you can quickly and easily develop applications that work with Smart Devices with the Google Android platform.
• With 12 ultrasonic sensors and 8 infrared sensors, obstacles can be avoided and missions can be performed on a given route.
• DC geared motor has built-in encoder, so it can detect the operation status of motor and can calculate rotation direction and speed.
• Accurate steering control using servo motor is possible and it is able to change the rotation axis of front wheel for forward direction.
• Built-in Bluetooth communication module enables remote control based on SPP profile through PC, notebook, smartphone, tablet etc. that support Bluetooth communication.
• Smart phones and tablets can be used as the brain of mobile robots, enabling the implementation of mobile robot-based ICT convergence services using high-performance processors and Wi-Fi communication environments.

Block Diagram

• Drone Manufacturing and Control Using Open Platform
• Mission Flight Autofly Using GPS and GCS GPS(Global Positioning System) / GCS(Ground Control System)

• Drone flight and control (driver source code and flight mode source code provided)
• 4-propeller Quad Copter
• Learn how to assemble hardware and fly with open source
• Hovering function using LiDAR
• Drone flight using controller
• Support Ground Control System capable of drone control on Windows or Android OS
• Support auto-flight using GPS and Ground Control System configured in drone
• Mission planning function : Waypoint routing, event execution
  (Go to designated place and carry out mission (photographing, collecting geographic information, etc.))

Block Diagram

Flight Software

Training Contents

• Drone Intro : Definition / Type / Configuration / Principles of Operation / Frame Selection / Flight Controller Selection / Ground Station Selection / Hardware, Firmware, Software Preparation / Additional Hardware / Safety Precautions
• Drone Manufacturing : H ardware Assembly / Mission Planner Installation / Firmware Programming / Connecting Mission Planner and Ardupilot / Hardware Set-up
• Flight : Flight Mode Set-up / Safety Inspection Before Motor Operation / Start & Stop Motor / Tips for Beginners / Basic Tuning / Measuring Vibration / Hovering Set-up / Trimming Set-up / Safety Device / Pre-Flight Checklist
• Advanced Set-up : Auto Tune / Auxiliary Function / Gyro Calibration / Battery Power Limit Set-up / EKF / Flight Time Record / Take-off & Landing Control Set-up / Motor Scaling Ratio Set-up / Offset Compensation Set-up for Sensor Location / Sensor Check / Remote Port Configuration / Tuning
• Flight Controller and Source : Flight Controller Hardware / Source Code
• GCS-Mission Planner : Mission Planning through Waypoint and Event / Mission Command List / Application
• GCS-QGROUND CONTROL : Intro / Download and Install App / Menu / Planning / Set-up / Flight / Application
• LogData : Diagnose problems using Log Data / Analyze Dataflash Log Data / Remote Communication Log Data / Save and Execute Log Data
• Others : FPV / Indoor Flight Guide / Multi-Flight / Antenna Tracking / Simulation / Referenc

Conclusion:

Autonomous vehicles are coming and it is important to prepare for them, and to prepare a generation of engineers and researchers to work on these exciting technologies that will drive our future.

Using Blockchain for notary services will become mainstream in the next few years.This comes with several advantages, the greatest of all being the ability to verify a fact or a document in a provenly truthful way without the need tostore it in a proprietary database, instead uploading a cryptographic digest of the datum on a decentralized network which is distributed on and maintained bymillions of computers around the world.

Gradbase is at the forefront of this innovation and its fully functioning and secure solution enables universities to issue academic qualifications on theBlockchain, alongside their regular paper diplomas. Gradbase enables employers to instantly verify the authenticity of these qualifications, just by scanning a QR code ona CV or LinkedIn profile.

Beyond academic qualifications, Gradbase also enable companies and institutions to issue, for instance, professional positions (including work experience) and certificate-based qualifications.

• Any university can build an excel spreadsheet where each line corresponds to the detailsof a student’s diploma (e.g. first name, last name, course name, grade, etc). A spreadsheetcan contain up to 250 student diplomas at once.
• The University will then upload the spreadsheet(s) on Gradbase.
• The spreadsheet is then processed for errors, and minor errors (such asspelling mistakes in the degree classification or course name) are automaticallycorrected.
• An encrypted digest of the data in the spreadsheet will be stored on the Bitcoin Blockchain with just the click of a button.
• Each student will receive an email from the University with the details of their qualifications, a link to the qualification on Gradbase and his custom QR code.
• The Student can now easily include the new QR code on their CV or on their business card or their LinkedIn profile, to prove that they graduated from the particular University, and can easily share the QR code with potential employers, etc. who will verify the student’s credentials by just scanning the code.

Data in a Blockchain can never be tampered with, nor removed. This is because strong cryptographic protection is in place so that newer blocks of data holdreferences to older blocks. Changing older blocks will modify and thereforeinvalidate said references. Moreover, strict cryptographic mechanisms are in place that enables unauthorized, local modifications to be detected and rejected. Secondly, the redundancy of Blockchain allows an uptime as close to 100% aspossible, and therefore an almost guaranteed availability of data which issafeguarded against hacks.