Use of DTs for Climate Protection

Advanced innovation could assist with lessening the world’s fossil fuel byproducts by around 17%, as indicated by a report from the International Telecommunications Union, a United Nations body. Industry players say computerized reasoning, for instance, could assist with making electric transmission matrices more productive. GeSI and Deloitte’s Digital with Purpose report recommends that advanced advances can assist with combating environmental change through lessening emanations, fortifying strength to environment related regular perils, and working on our ability to act.

Household Energy Efficiency :

The absolute best mechanical answer for environmental change will be lessening energy utilization generally, and nothing will do that more than making homes more energy productive. The Shift Project and the High Council for Climate Change reports both notice a critical expansion in the negative ecological externalities of computerized innovations. Sunlight based boards and wind turbines transform sun and wind into power without delivering ozone harming substances. As the advancements have increased and changed over energy all the more effectively, they have decreased in cost to become less expensive than petroleum derivatives universally.

Technology in Climate Protection

Ecological Impacts of Digital Technology :

A risky legend is that we basically can’t settle the emergency. That isn’t accurate. A wide scope of advancements is presently accessible to decrease ozone harming substance outflows. These incorporate further developed proficiency, putting away carbon and an assortment of environmentally friendly power arrangements. As indicated by the specialists, a lot of worldwide CO2 outflows expanded from 2.5 to 3.7 percent somewhere in the range of 2013 and 2018. That implies that our utilization of computerized advancements currently really causes more CO2 emanations and biggerly affects an Earth-wide temperature boost than the whole flying industry!

Adverse consequences of Technology on the Environment :

These innovations have harmed our reality in two fundamental manners; contamination and the exhaustion of regular assets. Air contamination happens when hurtful or exorbitant amounts of gases like carbon dioxide, carbon monoxide, sulfur dioxide, nitric oxide and methane are brought into the world’s environment. Streaming’s ecological effect is “tiny,” finish up specialists, who say watching one hour of video-on-request web based produces what might be compared to 55 grams of carbon dioxide outflows.

Creating environmentally friendly power innovation :

Quite possibly the main approaches to add to saving the climate is to reasonably produce and utilize the accessible energy assets. Energy stockpiling incorporates growing minimal expense stockpiling answers for energy as present day batteries and further developed power modules.

Those pieces of energy, and the related ozone depleting substances transmitted with each online action, can add up. The carbon impression of our contraptions, the web and the frameworks supporting them represent about 3.7% of worldwide nursery outflows, as per a few appraisals. Innovation has likewise started to change the jobs of instructors and students. … Innovation is an amazing asset that can uphold and change schooling from numerous points of view, from making it simpler for instructors to make educational materials to empowering new ways for individuals to learn and cooperate.

Impacts of Climate Change and Global Warming :

  • rising extreme temperatures.
  • rising least temperatures.
  • rising ocean levels.
  • higher sea temperatures.
  • an expansion in weighty precipitation (hefty downpour and hail)
  • contracting ice sheets.
  • defrosting permafrost.
  • Financial Impact

Advanced India drive can work on our GDP by around $1 trillion by 2025, says a report of monetary examiners. It can likewise be unsafe to assume a vital part in full scale financial components like work age, work usefulness, business improvement, and income age. Computerized contamination is still semi-secret to the overall population. … This contamination is created by all new advances and has two tomahawks: the contamination made by the activity of the Internet organization and that delivered by the production of PC apparatuses. Colossal measures of energy are devoured by the web.

Innovation in saving our planet :

Advanced proficiency implies having what it takes to live, learn, and work in a general public where correspondence and admittance to data is progressively through computerized innovations like web stages, online media, and cell phones. All things being equal, new advancements have prompted more maintainable strategies, better stewardship of our regular assets, and change to sun based and environmentally friendly power sources. Furthermore, these have been displayed to emphatically affect the climate.

DTs for Remote Maintenance and Inspection of Systems

Far off review advancements are being refreshed continually, relevantly with current computerized change which is including this tech and the whole mechanical area. That is the reason numerous social orders have begun to receive and try new types of distant investigation advancements in their processing plants and organizations.

Background Highlights :

One subject that associates problematic innovations is digitization. “All data should be in advanced structure, for computerized change, Aerospace and Defense at DXC Technology. “The business has seen numerous drives to speed this up, change has been drowsy in the course of the last decade, and today there are as yet incalculable instances of paper-based cycles in MRO.”

For the individuals who are as yet asking why such countless organizations are keen on this tech, the appropriate response is extremely straightforward: distant investigation advancements are more secure, less noisy than different types of assessment, and surprisingly less expensive, particularly over the long haul.

One ponders long it will take the business to accept distant advancements. Today, far off support innovation comes in numerous structures – some completely created, others in early stages. The contention for far off tech is similarly as other disrupters; it guarantees more productive, solid tasks and critical investment funds. It goes from virtual stages like Microsoft TEAMS, to drones and expanded reality (AR) frameworks.

Remote Maintenance and Inspection of Systems
Remote Maintenance and Inspection of Systems

Administrative View :

The Flight Standards Service has utilized a scope of virtual instruments like Zoom, text and Skype during the pandemic. “Somely, COVID-19 has upgraded adaptability to continuous correspondence between the FAA and the business it directs. “The FAA is acknowledging advantage in reestablishment of working declarations for fix stations working under 14 CFR Part 145 guidelines, especially those abroad, and exercises related with General Visual Inspections.”

“We can survey manuals, talk with key staff, review records and perform heap different errands distantly”. “Our auditors are utilizing far off innovation to achieve confirmation assignments of the two associations and people more than in directing reconnaissance of certificated substances. We will without a doubt grow our utilization of far off innovation as an enhancement to techniques.”

Drone Framework :

The robot needn’t bother with a GPS sign to explore or work. All things considered, it doesn’t fall foul of the absence of GPS inclusion that can impede upkeep in far off regions. All things considered, its position and following ability utilizes laser innovation and pre-arranged flight ways, while the framework has its own scrambled WIFI organization. “Making our own robot permitted us to install security highlights like hindrance location and frameworks repetition”. 

“Our sensor is mounted on a pivoting gimbal to permit picture securing of the total airframe, including upper surfaces, gut, under wings, etc.” These robots don’t simply catch a standard picture, in any case – it takes care of picture investigation programming to handily identify and find harms on the airplane surface. “Our answer additionally accompanies a cloud stage to store information and reports”.

Condition Based Maintenance Standard :

The robots used by Donecle permit both a ‘hands off’ way to deal with support for its client, and decreases the requirement for more than one specialist to embrace certain investigations. The utilization of digital actual frameworks and cloud innovations assume a vital part for such upkeep purposes. Indeed, the use of huge amounts of information gathered on machines and their handling through cutting edge strategies, for example, AI empower novel procedures for condition-based upkeep. New sensor arrangements that could be utilized in upkeep and connection with digital actual frameworks are additionally introduced. 

Information models are a significant piece of these methods as a result of the immense measures of information that are created and ought to be handled. These information models have been utilized in a genuine case, upheld by the Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance standard engineering, for smoothing out the demonstration of gathered information. In this specific circumstance, a mechanical use case is depicted, to edify the use of the introduced ideas in a functioning pilot. At long last, current and future bearings for use of digital actual frameworks and cloud innovations to support are examined.

DTs for Complex Energy Systems, DTs and Energy 4.0

Cutting edge innovations like the Internet of Things (IoT), distributed computing (CC), large information examination, and AI have efficiently animated the improvement of savvy fabricating. A significant essential for keen assembling is digital actual combination, which is progressively being embraced by producers. As the favored method for such reconciliation, digital actual frameworks (CPS) and computerized twins (DTs) have acquired broad consideration from scientists and specialists in companies. With input circles in which actual cycles influence digital parts and the other way around, CPS and DTs can invest in producing frameworks with more noteworthy knowledge, effectiveness and strength.

Similar fundamental ideas are shared by CPS and DTs of a concentrated digital actual association, continuous connection, association coordination, and inside and out association. In any case, CPS and DTs are not indistinguishable according to numerous viewpoints, including their starting point, advancement, designing practices, digital actual planning, and center constituents. To feature the distinctions and relationship between them, this paper surveys and investigates CPS and DTs according to numerous points of view.

Digital actual planning in CPS

The substance of CPS is to add new abilities to actual frameworks utilizing calculation and correspondence, which seriously collaborate with the actual cycles. CPS highlights tight reconciliation between the 3C to give constant detecting, dynamic control, and data administrations for complex frameworks. Contrasted to DTs, CPS all the more firmly underlines the amazing registering and correspondence capacities of the digital world, which can upgrade the precision and proficiency of the actual picture. All the CPS structures that have been proposed by analysts center around control as opposed to reflected models, regardless of whether they are a three-level, five-level, or administration situated engineering. As in DTs, criticism circles are significant in CPS.

Complex Energy Systems
Complex Energy Systems

Common planning, ongoing cooperation, and proficient joint effort between the digital and actual universes empower the elements of CPS. Be that as it may, the computational framework might influence more than one actual item. For instance, a framework might incorporate numerous actual segments. The planning connection between the digital and actual world of CPS isn’t coordinated, yet rather a one-to-numerous correspondence.

Advanced actual planning in DTs

The vision for DTs is to give a thorough physical and utilitarian portrayal of a part, item, or framework. The first and most significant advance is to make high-loyalty virtual models to practically recreate the calculations, actual properties, practices, and rules of the actual Universe. These virtual models are not just profoundly predictable with the actual parts as far as calculation and construction, yet in addition are ready to reenact their spatiotemporal status, practices, capacities, and more. At the end of the day, the virtual models and actual elements have a comparative appearance, similar to twins, and similar practices, similar to a perfect representation.

Moreover, the models in the advanced climate can straightforwardly streamline the activities and change actual interaction through input. Utilizing bi-directional unique planning, the actual elements and virtual models co-advance. In this manner, the planning connection between the physical and advanced universes of a DT gives a coordinated correspondence. A virtual model, which coordinates calculation, structure, conduct, rules, and practical properties, addresses a particular actual item.

Capacity execution of CPS and DTs 

Both CPS and DTs are expected to accomplish digital actual reconciliation, which is advantageous to savvy production. Nonetheless, in the execution of capacities, each has its own accentuation. CPS think about sensors and actuators as the fundamental modules, while DTs follow a model-based frameworks designing methodology that stresses information and models. Both CPS and DTs are indistinguishable from new IT, which gives their specialized premise.

Capacity execution of DTs

The principle thought of a DT is to make a computerized duplicate (i.e., virtual models) for actual substances to mimic and mirror their state and practices through displaying and reenactment investigation, and to foresee and control their future states and practices through criticism. Since the status, practices, and properties of the actual world powerfully change, a wide range of information is continually being delivered, utilized, and put away from the start until the removal of an item. The DT incorporates entire components, the whole business, and the cycle information to guarantee consistency.

Models incorporating the math, structure, material properties, rules, measure, etc empower the digitization and perception of the creation framework and cycle. Joined with information investigation, a DT empowers makers to make more exact forecasts, objective choices, and educated creation. Also, during the time spent in the co-development of models and actual cycles, the models produce new information. The models fill in as a correspondence and recording instrument to assist with interpreting the practices of machines or frameworks and to anticipate their future state dependent on ongoing information, verifiable information, experience, and information, just as on information from models. Thus, models and information can be considered as the center components of a DT.

DTs for Autonomous Driving and Collision Avoidance

With the modernization and over population the resource utilization is enhancing frequently and soon we will see the replenishment of the utility resources. Innovations and inventions in every sector and area have led to some advantages and disadvantages. Today we will talk about the digital innovations to overcome or avoid chances of collision which might result in serious mishaps. There are various methods which verifies safety like the Hamilton-Jacobi method which is used to provide safety assurance from collision. Here we will put some light on the power of trajectory which will propose a framework for prediction based reachability by using computing safety controllers.

The use of safety controller is based on various parameters like :

  • Implementation Mode
  • Conservative Action Set
  • Trajectory Prediction
  • Proposed Mode
  • Predicting Classifier
  • Deploy Safety Controller
  • Simulations in T-intersection

Autonomous Driving and Collision Avoidance
Autonomous Driving and Collision Avoidance

Various Adaptive Automated Surrogate Modelling :

With the help of AEB and ACC the Department of Transportation Safety Pilot Model Deployment database is running effectively and helpful in demonstrating or evaluating the collision avoidance reliability by using in house built Advanced Driver Assist Systems. 

ACC is a control automatically provided to adjust the speed and distance from the vehicle going ahead. It is facilitated by cruise control advanced driver assistance systems and in 2019 was represented with 20 different names based on functionality. Control Sensor is the primary source of information regulated by radar, laser and camera to detect the car approaching another vehicle. This technology is the face of future intelligent car generation. Level 1 autonomous cars (self assist) are the best examples of autonomous cruise control vehicles in combination with another driver assist feature (Lane centering) called Level 2 autonomous car.

AEB is a system which can identify potential forward collision and by applying vehicle braking actively can de-accelerate the mitigating collision. They provide an alert or warning to the driver by detecting the impending collision through sensors and efficiently function without the presence of the driver even. At low speed collision can be avoided by applying braking, at higher speed collision can be avoided by steering (is a new concept) depending upon the clearance of the lane.

There are three main collision warning :

  • Autonomous
  • Emergency
  • Braking

In order to avoid collision reliability analysis method is equipped with autonomous emergency braking (AEB) & adaptive cruise control (ACC) and this method is consist of two elements named :

Model Based Reliability Analysis – After Uncertainty Modelling method an adaptive surrogate modelling method is opted for active learning function effectively and precisely to avoid collision avoidance reliability

Uncertainty Modelling of Traffic Conditions – In this method to capture complicated correlations we use real world data with different variables and a newly developed Gaussian mixture copula (GMC) method  is implemented to showcase uncertainty in road traffic conditions.

Road Transport Through Lane Departure :

In this mechanism, warnings are given to the drivers to move out of its lane to minimize the accidents by any means like distractions, error and drowsiness etc. Depending upon National Highway Traffic Strategy Administration there are three types of departure warning systems

  • Systems to warn the driver if leaving its lane
  • Systems to warn the driver with no response to lane
  • Systems to assist oversteering and taking take over in challenging situations

Intelligent DT & IoT-Based Service for Smart Cities

With the growing population there will be an enormous and abundant need of resources so that humans can sustain their life smoothly in upcoming years. Proper resource utilization plays an important role in structuring smart cities with all the adequate resources in hands. IoT has emerged as an ultimate resource in the smart cities revolution, without human involvement. Billion trillions devices are interconnected to collect and identify huge volumes of data and can be managed by cloud computing processing, management and storage will include security risks as well. In order to manage the sudden urge of supportive resources of a growing population, rising technology comes into picture. IoT evolution studies have presented an analytical network process which works on complexity with alternatives for smart city evaluation.

Parameters to be addressed for Smart City :

  • Wireless Connectivity
  • Security
  • Open Data
  • Monitoring Control

Service Platforms and Architecture of Smart Cities
Service Platforms and Architecture of Smart Cities

By 2050 , the population will increase by 2.5 billion and in the coming years the cities will be occupied by 68% of population, which gives a challenging issue to be resolved by implementing the modern digital transformations, innovations and inventions by opting sustainability principles and management of urban areas development. Sadhukan, Sabrina has proposed a framework based on structural relationship based access control managed by blockchain and provide smart control to the internal users of organizations. Service platforms and architecture help in analyzing applications associated with case study of smart cities in collecting generic data and roadmaps of directions to get advanced cities by mapping access control.

Disciplines where IoT can be Implemented :

Smart Cities Innovation Center is used to quantify data flow and to detect sensors through 5G networks connected through WiFi & smartphones. IoT can be implemented to multidisciplinary sectors to obtain the following Innovations :

  • Smart Healthcare Sector
  • Smart Homes
  • Smart Surveillance
  • Smart Environment
  • Smart Transportation
  • Smart Agriculture

Smart City is an infrastructure framework which provides sustainable development practices by implementing wireless cloud technologies like smartphones, connected cars, traffic lights, street lightning, and smart garbage to improve quality of life. Many countries are determined to set goals in managing sustainable development. Ecosystem can be improved by taking following into consideration :

  • Managing proper trash collection
  • Energy distribution
  • Mobility
  • Optimizing infrastructure
  • Lower the traffic congestion.

Low Power Wide Area Network (LPWAN) technologies are best suited for smart cities while others can include  LoRa, LTE Cat M, Bluetooth, NB-IoT and 5G Technology will lead this innovation of smart city to a greater height. 

Advantages of IoT :

  • IoT can be used for creative and innovative management which results in controlling and monitoring information through various applications of cloud data management and storage.
  • With IoT some activities can be monitored and managed which were not feasible previously by any means.
  • Cost effectiveness is the third advantage and can be reduced and optimized
  • It can be used for tracking large numbers of daily tasks with the help of smart devices.
  • It enhances the options for consumers to use diagnostics and smart devices efficiently

DT-Based Concepts for Smart Building and Smart Home

Everyday is full of innovation and inventions in computer sciences, biomedical field, communication field and engineering. Recent technology is to design a smart home by implementing technological innovations. A smart home can be connected with a local server with remote access interface and can take control of alarm security, inventory, facility management through internet access.  A smart home must includes the below features:

  • Multimedia
  • Networking
  • Entertainment
  • Communication
  • Healthcare
  • Security
  • Power
  • Energy

It is a system that provides tracking of the overall activity of your home along with the family members with medical and statistical analysis. It is also connected with FRID for grocery and integrated with TV, cables and wireless internet gateway by adopting UML method as modelling tool which connects with database design, UI Interface, inter-process communication. Home server must connect with a server with integrated functions.

Smart Home & Smart Building Infrastructure
Smart Home & Smart Building Infrastructure

Design and Integration :

The mechanism of peripheral integration belongs to methodologies, tools, XML, remote configuration, management, life cycle support and device testing. TR-069 a standard configuration mechanism based on which a smart home automation system is developed by implementing XML technology.  

With this method, all the electrical facilities along with automatic configuration server and residential gateways, the interface is controlled by remote controller through WAN. MySQL is opted as a database engine to provide end to end point communication gateway.  RFID technology is helpful in reading data tracking which is installed near warehouses. MCU takes data from an RFID reader and converts the data with the help of the device connected with the MySQL server.

Following main features of smart home devices are as follows :

  • Alarm Security
  • Tracking and Positioning
  • Facility Management
  • E-Health Profile
  • Daily Scheduler

Machine learning is also applied in smart building applications. In both the categories the solution is being presented, discussed and compared with respect to the common goals, perspectives and research trends. The two main approaches are as follows : Occupant-centric and Energy/Devices centric. 

In Occupant Centric following are the process involved :

  • Firstly, it can be used in estimation and identification processes. 
  • Secondly for activity recognition or suspension. 
  • Thirdly, in estimating preferences and behavior.

In Energy/Devices centric following are the process involved :

  • Energy Profiling
  • Demand Estimation
  • Appliances profiling
  • Fault Detection
  • Inference on sensors

A smart environment will occupy a variety of domains like smart infrastructure, transformation, resource management, precision agriculture, smart buildings etc. The IoT revolution led to an advanced energy management system in buildings. Various IoT based automated systems are available like Twine, Vera, Smartthings, openHAB, Ninjablocks, Microsoft lab Things etc.

HDTH-Based Intelligent Healthcare Systems

IoT is well known for its technical advancement in resolving real world problems by implementing biomedical engineering along with parallel computing domains with diversified applications. It is a dynamic collection of sensors, cloud storage and multiple embedded devices for data exchange by evolving remarkable shifts in robust intelligent systems. Just by using sophisticated sensors the life of patients will not improve so as to ensure the critical situations data will be stored on a cloud server and analyzed by healthcare professionals through online consultation.

Importance of Deep Learning and Neural Networks :

Neural computing, Deep learning are in high demand because of architecture made of multi-layer artificial neural network.It acquire qualities and knowledge just similar to the human brain in learning new things like speech recognition, language processing and data analysis in research. IoT is also used in patient monitoring and in aiding wearable medical devices. The data generated is beyond our control hence we would require a system that will manage data in a suitable manner. Technology and medical science are proving better means for the healthcare sector.

Intelligent Healthcare Systems
Intelligent Healthcare Systems

Deep learning is the first choice for data analysis and image processing through ECG, EEG MRI, CT, Angiography, X-ray images, etc. It is helpful in providing good and efficient  results with a greater speed in chronic situations. It is an evolving field for researchers to cover multidisciplinary topics of any field and areas. 

There are many inventions going nowadays on different topics related to IoT and some of them are as follows :

  • IoT sensors for smart healthcare devices
  • Telemedicines
  • Data Security in healthcare
  • ECG Classification using Deep learning
  • EEG Classification using Deep learning
  • Medical Image Classification using Deep learning
  • Medical Image Segmentation using Deep learning
  • Medical Image fusion using Deep learning

Various countries are adopting IoT worldwide for improving and managing the dynamic, heterogeneous, multi-source data with great velocity to improve the critical medical conditions. Managing the data will lead to integrating, collecting, processing, analyzing, extracting knowledge by proceeding with the challenging task in progressive manner. But healthcare sector is quite challenging for IoT to come up with a device or an application that will fulfill patient need in real time and conditions with certain parameters. In order to proceed with this challenge Hadoop based Intelligent system (HICS) came into existence that uses IoT and contextual big data in the healthcare system which is connected to an enormous network connected with millions of devices to gather data.

Procedure of Data Analysis :

The collected data then processed with sensors, wearable devices, connected with the patient body and forwarded them to Intelligent building(IB) through PMD (primary mobile device) by using the internet. After analyzing the data the parameters are set to identify the seriousness and abnormality of a patient. They use publicly available medical sensors in real time traffic by using statistical methods, thresholds and machine learning techniques. IB consists of 3 main parts :

  • Big Data Collection used for collection, filtration and load balancing
  • Hadoop processing Unit used for file distribution and MapReduce
  • Analyze the situation and perform actions
  • Decision Making are equipped with medical expert system

New Revolution – Industry 5.0 Production Model

We have already discussed robotics, machine learning and artificial intelligence in our previou blogs for your better understanding of the technological world. We are again here with the new version of automation technology IOT Industry 5.0 which focuses on machine and human interactions. Big data and IoT are the technologies helping humans in soothing their work by better and faster means. It is an advantage to Industry 4.0 automation.

Advantages of Industry 5.0

  •  Responsive Environment
  •  Increased Productivity
  •  Profitability
  •  Adaptability
  •  Readiness
  •  Agility
  •  Cost Reduction
  •  User Friendly

These innovations are very complex and tedious for the environment to accept. This is a process which automates the real time data and is able to process the same in the manufacturing field. Based on the types of manufacturing automation industries are of four types :

  • Primary
  • Secondary
  • Tertiary
  • Quaternary

New Revolution - Industry 5.0
New Revolution – Industry 5.0

Main 5th IR Revolutions are as follows :

  • Machine Learning
  • Mobile Technologies
  • Social Networking

What is Industry 4.0 ?

It is a trending automation and data exchange technology like cyber systems, IoT, cloud computing etc. It is also known as IIoT / Smart manufacturer performing smart functions of production and operations digitally by using machine learning, artificial intelligence and big data so that companies can focus on supply chain management. A project named High tech strategy of German originated “Industrie 4.0” which was later on changed to I4.0 or simply I4 in 2011.

Main Industrial Revolutions are as follows :

  • Coal
  • Gas
  • Electronics
  • Nuclear
  • Internet
  • Renewable Energy

At the moment we are in the fourth industrial revolution leading to industrialization and automation to generate smart goods with efficiency and efficacy. It connects the end-to-end process of production and execution to reach a new level of revolution by connecting and adapting changes.

4IR Technology is a combination of multiple technologies and a blend of interconnectivity between digital, physical and biological entities  :

  • AI
  • Robotics
  • IoT
  • Genetic Engineering
  • Quantum Computing

IR 4.0 has been implemented in the education sector and aimed at improving graduates driven capabilities in the digital industry. It is also helpful in making faster and smarter decisions to boost the profitability and efficiency

What is Industry 3.0 ?

In 1970, the third revolution came into existence by using electronics and IT automation protocols. Main areas of digital transformations are :

  • Participation
  • Data collection
  • Process Involved
  • Technology Used
  • Organizational procedure

Augmented Reality and Virtual Reality

AR is a science to demonstrate digital elements to live by using real world settings such as smartphone cameras while VR is a complete virtual demonstration of the immersion experience without the involvement of the physical world. AR enhances the virtual and real world whereas VR enhances fictional reality. VR is immersive in nature and is restricted to the specific user while AR offers more freedom to the user and will create an engaging market.

Mechanism of AR & VR :

VR immerse in fully computer simulated reality with a headphone or headset cutting down the real world. VR is not good for eyes as it is related to simulations of an imaginary world and can cause eye strain. VR is of three types based on simulations :

  • Non-Immersive
  • Semi-Immersive
  • Fully Immersive

Augmented Reality and Virtual Reality
Augmented Reality and Virtual Reality

Some Examples of VR Simulations : This concept is not only limited to the below examples as other leading big benches are also the leading players who can surprise anytime with the new invention in the field of immersion and usability like Apple, Google,  Lenovo, Samsung.

  • HTC Vive Pro Eye
  • Oculus Quest and Playstation

The final goal of VR is to build a human with spoken language, drawing pictures and writing letters etc. In the current scenario VR is on demand due to generations habitual of games with best innovative controls, well supported ecosystem. 

Elements of VR :

  • Comfort
  • Video Games
  • Education
  • Sensors
  • Interaction
  • Immersion

VR can lead to brain damage and can develop symptoms like depression, dizziness and collapse of vision, disorientation that occur due to VR experience. It also affects the pattern and quality of sleep.

Disadvantages of VR :

  • Lack of Flexibility
  • Quite Expensive
  • Functionality Issue
  • Addiction to Virtual World

Advantages of VR :

  • No risk
  • Realistic Scenarios
  • Simplifies Complex Problems
  • Innovative
  • Managed Remotely

AR provides a virtual experience of the real world. It revolves around images, text and sounds and got attention in 2016 with the game Pokemon Go. AR can be explored on android devices and through Google Play Store. Nearly 589 million devices are launched through AR technology in 2020. AR is tremendously used in medical training,  in MRI applications, in surgeries etc.

Some Examples of AR Simulations :

  • U.S. Army
  • Google Pixel’s Star Wars Stickers
  • Disney Coloring Book
  • L’Oréal Makeup App
  • Nintendo’s Pokémon Go App
  • Weather Channel Studio Effects
  • IKEA Mobile App

It has a growing market among mobile computing and business applications.  Similarly AR Zone app facilitates AR features like AR Emoji by creating animated versions and AR Doodle on android mobile. ARCore is a platform for AR experiences by using APIs. AR software is already installed in the smartphones with different versions.  

Some Smartphones that enabled ARCore :

  • moto g⁹ Play
  • Asus ROG Phone III
  • Nokia8.3 5G
  • LG K71
  • Infinix Mobile Zero 8
  • motorola one 5G
  • OnePlus Nord

Latest Artificial Intelligence Apps for iOS and Android.

We are progressing gradually in the field of innovation and are creating valuable insights with each passing day. Technology is imparting a fruitful combination to humans all together in terms of information exchange, solving mankind problems, making tasks easier and promoting development. The modern innovation blend of the technology era is to make our lives beneficial and convenient. To feel secure in every phase of your life you need technology for both personal and business point of view.

Impact of Technology in Human Life :

Due to technology the pace of life is increasing with increased communication, travelling, action and interactions to speed up life. Benefits of technology can be improved by test grades, scores, creativity, problem solving skills, special needs, acquiring knowledge. Technology is expanding its arms in vivid areas with proven advantages and inventions. With advantages there lies disadvantages as well like crime and terrorism, social disconnect, privacy concerns. work overload, job insecurity and complexity.

Techniques implemented in AI :

  • Machine Learning
  • Automation and Robotics
  • NLP -(Natural Language Processing)
  • Machine Vision

Latest AI Applications
Latest AI Applications

Artificial intelligence is the process of simulation of human intelligence through machines. Machine vision, language processing, speech recognition and expert systems are few applications of AI. If we consider examples then social media is the biggest one as it provides the content to suggestions. The purpose of AI is to perform complex tasks like problem solving, decision making, understanding human communication and perception into the simpler one. There are four types of AI and it can be weak AI(facebook newsfeed), strong AI and artificial AI

  • Relative Machines
  • Limited Memory
  • Theory of MInd
  • Self Awareness

Scope of AI in future :

It has a tremendous impact on human life by exploring new technological innovations like big data, robotics and IoT. A supercomputer named Perlmutter for NERSC is the most powerful and giant AI machine in the world. Siri is the form of AI System that uses artificial intelligence. It also has a negative impact and can be used as a devastating system as well. It is nowadays be implemented in every sector like :

  • Retail
  • Security
  • Fashion
  • Shopping
  • Production
  • Sports Analytics
  • Manufacturing

In terms of the future it will help to analyse the patient data in the healthcare sector, in diagnosing brain tumors and finding the best possible solution to it. It will lead to revolution in the pharmaceutical area. It is a promising career with lots of opportunities in hand with justifiable salary and growth in future. Hanson Robotics is the most advanced robot till date. Ohn McCarthy is the father of Artificial Intelligence who devised a hydraulic orange squeezer. China is the only country across the globe that uses AI at a greater pace and is a leader by raising it from 4.26% to 27.68% in 2017.

Few top notch AI Softwares are :

  • Google Cloud Machine Learning
  • Content DNA Platform
  • H2O.AI.
  • IBM Watson
  • TensorFlow
  • Azure Machine Learning Studio
  • Cortana

The main algorithm applied in AI power systems are :

  • Fuzzy logic system
  • Simulated Optimization
  • Genetic Algorithm
  • Colony Optimization
  • Artificial Neural Network
  • Evolutionary Computing
  • Simulated Annealing
  • Particle Swarm Optimization