Research Archives - Top/Best Computer Science College in Faridabad, Delhi NCR 2018

GUEST LECTURE BY SURBHI AGGARWAL – ALUMNI

admin_department — Tue, 17 Apr 2018 20:03:19 +0000

B.S. Anangpuria Institute of Technology and Management organized a guest lecture of Ms Surbhi Aggarwal, an alumnus of 2007-11 batch of Computer Science and Engineering batch. She has more than 6 years of experience in multinational companies. Recently, working as an Advisory System Analyst at International Business Machines (IBM) Corporations. She was invited to address the newly inducted batch of students pursuing Engineering at Anangpurias.
Surbhi Aggarwal expressed her joy of being here with the Anangpuria family :
It would be tough to recapitulate four years of time spent in BSAITM in just a matter of lines. I am grateful to BSAITM for giving me multi-dimensional learning with the apt mix of leadership traits, industry exposure and needless to say, Academics.
The Institute Faculty imparted great values along shaping lives through quality education for a bright future.
The journey of Computer Science and Engineering at Anangpuria has truly been exhilarating and magnificent.
My experience here at Anangpurias Institute of Technology and Management meant everything to my development and who I am today.
I, Surbhi Aggarwal, Alumni of Anangpuria recommend this Institute to the generations to come.
Go ahead and set the world on fire!

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Internet of Things (IoT)

admin_department — Thu, 12 Apr 2018 18:48:11 +0000

The Internet of Things is the interconnection of physical devices, home appliances and other everyday objects via the Internet allowing them to communicate with each other. The connected devices are basically computing devices embedded with software, electronic circuits, sensors which enables these devices to exchange data over the Internet. Today, the world is moving towards the idea of making all the devices used in our day to day life ‘Internet Enabled’. For Example, your Mobile Phones, Tablets, Laptops are all Internet-enabled. They are also known as ‘Smart Devices’ because they are able to connect and exchange data with other devices on the Internet. Moreover, the household devices such as Fridge, TV, AC, Fans, Tube lights -they all will be Internet-enabled in future so they will be able to communicate/or send data to other smart devices connected to the Internet. Nowadays smart TV’S, smart Fridge is available in the market, they all are the part of IoT. In future, there will be some more devices which will be the part of IoT. If we make a device Internet-enabled, we also have to build Apps for that device as per the requirement which can solve user problems. For example, you go to a shopping mart and you don’t know what items are there in your fridge if you have a smart Fridge, then your smart fridge can communicate with
you through your mobile phone. On your mobile phone, you are able to see what items are available in the fridge.
Another example of smart devices includes Smart doors and windows at your home. In case, you forgot to close your balcony windows or door while moving out of your house, then the sensors integrated with smart windows will automatically sense that if there is no movement inside the house, then the windows will automatically be closed and you will get information on your phone about this and the procedure to open them. So, that is the power of smart devices or Internet-enabled devices or collectively Internet of Things.

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Continuous deployment with the automation- DEVOPS

admin_department — Thu, 12 Apr 2018 18:43:19 +0000

The software engineering today has made a lot of automation for the faster and easy deployment of the software generated. The DevOps is the domain that combines the functioning of Development + the Operations. It is a software development domain that deals with the agile type of relationship between the development and the IT operations. The main aim of this type of automation is to improve the overall relationship between the two
different business units by enhancing the communication and the collaboration of these units.
The generic software development life cycle suggests the Enterprises work as a team for each phase of the lifecycle. These development teams work as an individual entities managing and processing the information by itself within the enterprise. The operational team whereas needs better communication and collaboration for better provide needs of the organization.
The DevOps culture brought together all the teams involved in the software development phases. This ensures the organization achieving shorter development cycles, increased deployment frequencies, properly aligned efforts for the business objectives. The DevOps has the goal to deploy features into production quickly and to detect and correct the problems when they are occurring without disrupting other services.
The DevOps is not based on the rigid methods of software development that includes sequential development phases. It is a new approach to the traditional application lifecycle management (ALM) process.The DevOps tools are being designed with the help of different stages working in correlation with others. The tool works with following stages: Plan, Build, continuous integration, deploy, operate, and continuous feedback.
The Plan is to make a collaboration of the vision and design of the software. The Build phase of the application deals with providing the environment for the development process. The third phase that is the continuous integration phase deals with the continuous merging of the content from the repository of the code so that the problems could be detected and fixed at the earlier stages. The Deploy stage is working on a final release of the information for the further processing of the data. The stage leads to the automated deployment of them in one place. The next stage deals with the operations needed for the monitoring two things: server monitoring and application performance monitoring. The last stage acts as the continuous improvements with the help of continuous feedback from the previous errors and mistakes.
The DevOps tool is categorized in the following categories:
Version control: This means numbering versions, as well as tracking the different configuration and any dependencies that are present in relation to other objects, such as the type, brand, and version of the database.
Build and deploy: Tools to facilitate the automated building and deployment of software throughout the DevOps process.
Functional and non-functional testing: Tools that help automated testing for fixing the different errors at different stages of the software lifecycle. Testing tools should provide integrated unit, performance, and security testing services.
Provisioning and change management: Tools to provision the platforms needed for deployment of the software, as well as monitor and log any changes occurring to the configuration, the data, or the software. To summarize the DevOps concept it would be better to just say unwinding the complexity of the process of the software development to ease the user and designer.

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How WBAN (Wireless Body Area Network) can play a vital role in India’s healthcare sector?

admin_department — Thu, 12 Apr 2018 18:36:10 +0000

An According to WHO(World Health Organization), Healthcare is the prevention treatment and management of illness and preservation of health through the services offered by health care organization and professionals. It includes all the goods and services designed to promote health, including “preventive and palliative intervention whether directed to an individual or to populations.There are a number of parameters which measure the health of the nations. Some of the indicators are:
1. Health Care Support
2. Doctor to Patient Ratio
3. Paramedical and Nursing support
4. MMR (Maternal Mortality rate)
5. Life Expectancy – IMR
6. Education GER
7. Safe Drinking Water
8. Cleanliness
9. Human Development Index
10. GDP or Per Capita Income
11. Health Care Access and utilization
12. Impact of Environment on health
13. Sanitation
14. Expenditure
15. Smart cities
16. IMR
17. Medical equipment’s
Comparing India’s healthcare with European countries where there are 63 hospital beds per 10,000, in India, there are 10 hospital beds per 10,000, 80 Doctors per lakh population. Six states which represent 31 of India population have 58% MBBS seats. Eight states which comprise 46% of India Population have 21% MBBS seats. This statistics shows
India’s healthcare system is in the big crisis and the biggest concern is the unavailability of doctors. Today we are completely surrounded by technology. For each and every day to day usage, we are completely relying on technology. Therefore, there is a need to incorporate technology into the healthcare system which at least enables patients to stay in touch with his doctors without visiting them. Regarding this matter, recent development and technology advancement in wireless communication is going on where low power Nano-technology sensors nodes are placed strategically in or around the human body to be used in several applications such as personal health monitoring. This exciting new area of research is called Wireless Body Area Network (WBANs) and leverages the
emerging IEEE 802.15.6 and IEEE 802.15.4 standards, specifically standardized for medical WBANs. The aim of WBANs is to simplify and improve speed, accuracy, and reliability of communication of sensors/actuators within, on and in the immediate proximity of human body. The current healthcare practices are going to adopt new technology based on Wireless Body Area Network (WBAN) consisting of autonomous and smart portable sensor nodes with radio interface or radio common channels to monitor the patients physiological parameters such as blood pressure, ECG, EEG, blood
glucose level etc. and patients data are monitored through a feedback system via powerful computing devices such as PDA and smart cell phones. The small and intelligent biomedical sensors which can be implanted in the human body and data can be sent to a medical server where it can be processed, analyzed and stored. The earlier names of this
technology are tele-med, e-health or health. In fact, WBAN is the result of a merger of several technologies. A typical WBAN architecture includes (i) a small network around the body (about 1-2 meters), (ii) a gateway (sink) bridging to another network types that can be another node with some routing and data aggregate features, (iii) a wide network that can be an Internet or intranet network, and (iv) applications with GUI for medical or other healthcare personnel. To improve the health facilities for the people a tiny, automated, and intelligent medical
devices and technology namely wireless body area network (WBAN) evolved. The derivation of this technology is wireless WSN consist of sensors actuator, radio system and transmission system, which should be situated in, on, and around the human body to the measure, store and transmit patients’. Researchers from all around the world now have very enthusiastic interest to advance this technology especially on certain standardizations like its architecture, cost effectiveness, energy consumption or power efficiency, security and privacy (QoS) factors concerning WBAN technology still remain insignificant whereas QoS issues are also a major concern. WBAN needs the diverse functioning requirement vary from applications to the application which are very perceptive hence entail
more attention.

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Data Science

admin_department — Thu, 12 Apr 2018 18:13:03 +0000

As the world entered the era of big data, the need for its storage also grew. It was the main challenge and concern for the enterprise industries until 2010. The main focus was on building framework and solutions to store data. Now when Hadoop and other frameworks have successfully solved the problem of storage, the focus has shifted to the processing of this data. Traditionally, the data that we had was mostly structured and small in size, which
could be analyzed by using the simple tools. Unlike data in the traditional systems which was mostly structured, today most of the data is unstructured or semi-structured. The data trends show that by 2020, more than 80 % of the data will be unstructured. This data is generated from different sources like financial logs, text files, multimedia forms, sensors, and instruments. Simple tools are not capable of processing this huge volume and variety of data.This is why we need more complex and advanced analytical tools and algorithms for processing, analyzing and drawing meaningful insights out of it.so it can be said that Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. Data Scientist not only does the exploratory analysis to discover insights from it but also uses various advanced machine learning
algorithms to identify the occurrence of a particular event in the future. A Data Scientist will look at the data from many angles, sometimes angles not known earlier.A common mistake made in Data Science projects is rushing into data collection and analysis, without understanding the requirements or even framing the business problem properly. Therefore, it is very important to follow all the phases throughout the lifecycle of Data Science to ensure
the smooth functioning of the project.Data Science is one of the most dynamic industries today. The key to success in this field is to recognize and respect that it is an ever-morphing one, and you need to be up to speed at all times.

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Humanoid Robot

admin_department — Thu, 12 Apr 2018 18:07:25 +0000

Today’s world is dependent on the machine and we people want to make our life easy day by day. As a human, we want to do our work fastly and accurately but at the same time, we want it to be easy that is possible if some machine can do our work.The main researchers are not working on making a robot but they want to create a humanoid robot.
These humanoid robots can think and work like a human that can perform their mundane task, our aim is to develop robots which support humans in the field of healthcare and industry during their life and we are also trying to develop the robot which understands and follow our instruction and behave also like the human with all emotions, so that particular attention has been posted to the problem of human-computer interaction. These robots can be a great help for the assistance fields such as reception-desk administrators and automotive manufacturing line workers.
A lot of Impressive results have been also attained by different corporations that were able to make self-contained humanoid robots with two arms and two legs, able to walk, to turn while walking, to climb up and down stairs. The enhancements were made to these robots with the help of different studies on human-robot interaction, on human-like movements and behaviour and on brain mechanics of human cognition and sensory-motor learning. Human cognition is a field of study which is focused on how humans learn from the sensory information in order to acquire perceptual and motor skills.
The architecture of robot is designed according to the human body, the way hand can grasp things pick or throw things. The hands’ Index and middle finger are equipped with active DOF respectively in the MP and in the PIP joints.
The thumb movements are accomplished with two active DOF in the MP joint and one driven passive DOF in the IP joint. This configuration will permit to oppose the thumb to each finger. The facial gesture of a robot is designed using MEP tracking system. Mechanical, Electrical and Plumbing (MEP) works constitute a large portion of construction costs and thus need to be appropriately tracked.
Humanoid robots are also becoming increasingly popular as entertainers. A female robot, named Ursula sings, plays music, dances and talks to her audiences at Universal Studios.Several Disney theme park shows the utilization of these humanoid robots that look, move and speak much like human beings. Although these robots look realistic, they have no cognition or physical autonomy. Humanoid robots, especially those with artificial intelligence algorithms could be useful for future dangerous and/or distant space exploration mission, without having the need to turn back around again and return to Earth once the mission is completed.
Another famous humanoid robot Sophia developed by Hong Kong-based company Robotics.For the vision Sophia’s eyes are combined with cameras and computer algorithms that allow her to see. She can play close attention to faces, uphold eye contact, and identify individuals.She is able to process speech and have conversations using Alphabet’s Google Chrome voice recognition technology and other tools. The AI programs are used for analysing and extracting data that allows her to increase in mental capacity for future.

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EYEPHONE

admin_department — Thu, 12 Apr 2018 18:00:33 +0000

In current techno world where a kid is not capable of eating his/her food but he is capable of using apps in our smartphones now, researchers are trying to make new techniques to ease the human-mobile interaction. The latest trend and research is “eyephone”.Usage of this technology is so easy that a movement of your eye can change applications in our mobile we can say it’s a hand free tool.Even a wink can show you different functionalities of your smartphone.The working of this technology is Eyephone tracks the user’s eye movement across the phone’s display using the camera mounted on the front of the phone; more specifically, machine learning algorithms are used to:
1. Track the eye and infer its position on the mobile phone display as a user views a particular application.
2. Detect eye blinks that emulate mouse clicks to activate the target application under view.
The live example of Eyephonetechnology is Nokia N810, which is capable of tracking the position of the eye on the display, mapping this positions to an application that is activated with a wink.
With the evolution of both software and hardware on the mobile devices, the users are becoming more demanding of the user interface that provides both functionality and pleasant user experience. The goal of mobile interaction researchers is to understand the requirements and needs of mobile users. Compared with stationary devices mobile devices have specific, often restricted, input and output requirements. A goal that is often named is to overcome the limitations of mobile devices. However, exploiting the special opportunities of mobile users can also be seen as a central goal.
Human-Computer Interaction (HCI) researchers and phone vendors are continuously searching for new approaches to reduce the effort users exert when accessing applications on limited form factor devices such as mobile phones. The most significant innovation of the past few years is the adoption of touchscreen technology introduced with the Apple iPhone and recently followed by all the other major vendors, such as Nokia and HTC. The touchscreen has changed the way people interact with their mobile phones because of it provides an intuitive way to perform actions using the movement of one or more fingers on the display (e.g., pinching a photo to zoom in and out, or panning to move a map).
As a human sometimes we people get confused with the reactions of human so how it is possible to understand the eye movement by a mobile now that is a challenge for researchers.Considering any situation like a person is running or walking by any reason the image is not clear in camera then how it reads the eye of a human for any action to be performed. For making this task easy the work is divided in phases:
1. an eye detection phase;
2. an open eye template creation phase;
3. an eye tracking phase;
4. a blink detection phase. In what follows, we discuss each of the phases in turn. Eye Detection.
By applying a motion analysis technique which operates on consecutive frames, this phase consists of finding the contour of the eyes. The eye pair is identified by the left and right eye contours. While the original algorithm identifies the eye pair with almost no error when running on a desktop computer with a fixed camera. Some of this work exploits accelerometers on the phone in order to infer gestures.

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Digital India

admin_department — Thu, 12 Apr 2018 17:52:13 +0000

The main objective to launch Digital India campaign is universal access to mobile connectivity, provide broadband highways, public internet access programme, e-Kranti – Electronic delivery of services, Information for all, Electronics manufacturing: Target net zero imports, Reforming government through technology and IT for jobs and early harvest programme. Governments around the world are engaged in providing healthcare and education facilities to citizens, at many levels. The use of digital technologies for providing and assisting with healthcare and education are growing. These facilities are a strong presence in many countries. Issues of research pertaining to the access, quality, regulation, evaluation of these services, amongst many others. There are many challenges to providing these services and these constitute an active area of research. The vision to launch Digital India is centred on three main areas:
1. Digital Infrastructure.
2. Governance & Services on demand.
3. Digital empowerment of citizens.
The Indian government has developed a mobile app named Swachh Bharat Mission (SBM) to achieve the goals of Swachh Bharat Mission fast and transparently. Secondly, The ORS (open registration system) system introduce the concept of e Hospital. People can easily do online registration, pay doctor’s fees, book appointment, online diagnostic reports and blood availability status online. Thirdly, The Digital Locker System is to minimize the use of physical documents and to reduce the use of paper, which indirectly indicates to save trees and enable people to share e-documents across different departments So, the worldwide application and importance of digital India can be seen. A lot of development has been observed in the hardware sector. It has contributed significantly to India’s GDP. Now it’s high time for the software section. Whether it is about e-commerce or various application development, IT firms can support the campaign greatly. It can bring ease to life and support to the system. The digital revolution in the country and the boost to the development of software will provide transparent and efficient governance. Along with this, it will act as the bridge for the rich-poor divide. The Digital India campaign will help to make India better. It is a dream project of Indian government and it is said that it will also generate millions of jobs and will make Indian IT companies more strong and productive.

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Artificial Intelligence & Deep Learning

admin_department — Thu, 12 Apr 2018 17:48:00 +0000

Artificial Intelligence & Deep Learning will radically change the way we work and live. Deep learning is the most advanced stage of a technology.Deep Learning has been the most researched and talked about topic in data science recently. And it deserves the attention it gets, as some of the recent breakthroughs in data science are emanating from deep learning. It’s predicted that many deep learning applications will affect your life in the near future. Actually, I think they are already making an impact…Deep Learning has also known as data structured learning and it is a part of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks. Learning from Demonstration (LFD), where a robot learns a control policy from analyzing demonstration of the policy performed by an algorithmic or human supervisor. “For example, to teach a robot make a bed, a human would teleoperate a robot to perform the task to provide examples. The robot then learns a control policy, mapping from images/states to actions which we hope will generalize to states that were not encountered during training. Here are some examples where artificial intelligence, deep learning is used in day to day life.
Using anonymized location data from smartphones, Google Maps can analyze the speed of movement of traffic at any given time,Ridesharing Apps Like Uber and Lyft, Commercial Flights Use an AI Autopilot, Spam Filters, Smart Email Categorization, Robo-readers, Mobile Check Deposits and Fraud Prevention in Banking, Voice-to-Text,Smart Personal Assistants(Alexa, an AI-powered personal assistant, Echo (and later, Dot) smart speakers)
Watsonis a great example to show what an artificial agent can achieve. You may have heard the story of Watson beating humans at a Question and Answering game. Although Watson uses an ensemble of many techniques for working, deep learning still is a core part of its learning process, especially in natural language processing. Here we would use one of the many applications of Watson, to build a conversation service, like the chatbot. A chatbot is an agent that respond as humans do on common questions. It can be an excellent point of contact to customers and respond to them in a timely manner.

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Big Data

admin_department — Thu, 12 Apr 2018 17:43:07 +0000

Big data is termed as very large and complex data sets comprise of 3 V’s as high velocity, high volume and high variety which are analyzed to find out various patterns and business trends related to human behaviour. On the basis of these patterns, confident and faster decision making is done which reduces risk level and cost. Moreover, the analysis of large datasets is beneficial in preventing diseases and crime etc. It is extremely used in the field of medicine and healthcare. As in Healthcare, new technologies are getting used which are high in cost. So big data is very beneficial in this issue. A large number of medical devices are used which work with big data. Big data is also used to check out food based infections by FDA. Analysis of Big data has reduced the problems of
media and government who were facing difficulties with large data sets in various areas such as the Internet, finance and business informatics. Also, Big data provides various facilities to government sectors which includes power investigation, ecological fortification and deceit recognition. As in big data, data resides in various such as email messages, word documents, images, videos and presentations so by implementing advanced analytics techniques like machine learning, data mining, statics and natural language learning helps in analyzing unused data sources independently to reveal new trends resulting in making faster decisions. Big data is not easy. It requires the big amount of storage space so organizations must regularly scale their hardware and software to accommodate the requirements of big data. In big data analysis, new data is being created so fast that organizations need to respond quickly in real time. Moreover, big data challenges the organizations in data integration too. As the data is coming from different places like business applications, media streams, e-mail systems etc. merging of all these data in creating reports can be very difficult. For this, vendors provide various data integration tools to make the process easy.In big data, Security plays a very important role for organizations with big data stores. It is because some data stores can be good targets for the hackers. So organizations are using various security methods like data encryption, identity and access control and data segregation etc. According to the market scenario, big data tools and technologies make easy for the organizations to interpret large data sets very quickly which helps them in developing new data-driven products and services efficiently. Moreover, now a time the complete focus of
organizations is on Big data. All the big data companies are motivating talented software engineers and offering various jobs and roles in Big Data industry like Big Data Developer, Big data solution architect, Hadoop administrator, Data scientist, big data analyst etc. Finally, Big data has a great impact in the world of education too. Now a time, various courses are available online for students. Teachers can also use various applications of big data in their professions. So for Big data, various organizations, like Oracle, IBM, Microsoft, SAP& Dell
have spent the good amount on software firms specializing in data analytics.

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