Online Resources from SFIT LIRC: Open Access Journals from SpringerOpen for Internet of Things

1. Research and Challenges of Wireless Networks in Internet of Things: Published in EURASIP Journal on Wireless Communications and Networking
2. Recent Advances in Internet of Things Security and Privacy: Published in EURASIP Journal on Wireless Communications and Networking.
3. ​​​​​​​​​​​​​​Towards constructive approach to end-to-end slice isolation in 5G networks EURASIP Journal on Information Security
4. An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things​​​​​​​ Human-centric Computing and Information Sciences​​​​​​​
5. Fog orchestration for the Internet of Everything: state-of-the-art and research challenges​​​​​​​ Journal of Internet Services and Applications
6. Modeling the internet of things: a hybrid modeling approach using complex networks and agent-based models Complex Adaptive Systems Modeling​​​​​​​
7. Challenges and Requirements for the Application of Industry 4.0: A Special Insight with the Usage of Cyber-Physical System​​​​​​​ Chinese Journal of Mechanical Engineering​​​​​​​
8. Towards internet of things modeling: a gateway approach Complex Adaptive Systems Modeling
9. Future Digital Design and Manufacturing: Embracing Industry 4.0 and Beyond Chinese Journal of Mechanical Engineering​​​​​​​
10. Mobile multimedia crowd service cooperation control protocol based on opportunistic wavelet EURASIP Journal on Embedded Systems
11. Cyber-physical-system-based smart water system to prevent flood hazards Smart Water 
12. AMBER: Advanced Mother Board for Embedded systems pRototyping EURASIP Journal on Embedded Systems
13. Fast image recognition of transmission tower based on big data Protection and Control of Modern Power Systems​​​​​​​
14. A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment​​​​​​​ Protection and Control of Modern Power Systems​​​​​​​
15. Cybercrime: interdisciplinary approaches to cutting crime and victimisation in cyber space​​​​​​​ Crime Science​​​​​​​
16. Nanogenerators for Self-Powered Gas Sensing Nano-Micro Letters

Internet of Things Article Highlights

​​​​​​​Internet of things enabled real time water quality monitoring system

This paper presents a detailed overview of recent works carried out in the field of smart water quality monitoring. Also, a power efficient, simpler solution for in-pipe water quality monitoring based on Internet of Things technology is presented...



Medical long-distance monitoring system based on internet of things

To allow doctors to monitor the physical parameters of the patient’s body in real time and to understand the changes in the patient’s condition in time, the medical remote monitoring system based on the Internet of Things was studied...


Automatic classification of insulator by combining k-nearest neighbor algorithm with multi-type feature for the Internet of Things


New algorithms and architectures in the context of 5G shall be explored to ensure the efficiency, robustness, and consistency in variable application environments...


Unified performance measures in network localization


With the evolving Internet of Things, location-based services have recently become very popular. For modern wireless sensor networks (WSNs), ubiquitous positioning is elementary...



What is a smart device? - a conceptualisation within the paradigm of the internet of things


The Internet of Things (IoT) is an interconnected network of objects which range from simple sensors to smartphones and tablets...


Towards 5G cellular network forensics


The fifth generation (5G) of cellular networks will bring 10 Gb/s user speeds, 1000-fold increase in system capacity, and 100 times higher connection density. In response to these requirements, the 5G networks will incorporate technologies...


Contender waveforms for Low-Power Wide-Area networks in a scheduled 4G OFDM framework

The Internet of Things (IoT) is expected to interconnect objects using both existing communication technologies and new emerging technologies...


Scenarios for crime and terrorist attacks using the internet of things

The Internet of Things is a paradigm in which everyday items are connected to the internet and share information with other devices. This new paradigm also means that criminals and terrorists would be able to influence the physical world from the comfort of their homes...



Hitch Hiker 2.0: a binding model with flexible data aggregation for the Internet-of-Things

Wireless communication plays a critical role in determining the lifetime of Internet-of-Things (IoT) systems. In this paper, Hitch Hiker 2.0, a component binding model that provides support for multi-hop data aggregation is proposed...

Source: https://www.springeropen.com/p/engineering/internet-of-things

Books on Data Science in our Library

B27206 ANALYTICS IN A BIG DATA WORLD: THE ESSENTIAL GUIDE TO DATA SCIENCE AND ITS APPLICATIONS   

By BAESENS, BART
NEW DELHI/WILEY INDIA/2014
005.74 BAE

 

B26162 CORE PYTHON PROGRAMMING-2nd. ed.   
By RAO, R. NAGESWARA
NEW DELHI/DREAMTECH/2018
005.133 RAO

 

 B24667 BIG DATA AND ANALYTICS   

By ACHARYA, SEEMA/CHELLAPPAN, SUBHASHINI
NEW DELHI/WILEY INDIA/2015
005.74 ACH/CHE

 

 B23315 TOO BIG TO IGNORE: THE BUSINESS CASE FOR BIG DATA   

By PHIL, SIMON
NEW DELHI/WILEY INDIA/2013
005.74 PHI

  

B22963 HADOOP IN PRACTICE   

By HOLMES, ALEX
NEW DELHI/DREAMTECH/2013
004.36 HOL

 

MEB1175 HANDS ON DATA SCIENCE AND PYTHON MACHINE LEARNING: PERFORM DATA MINING AND MACHINE LEARNING EFFICIENTLY USING PYTHON AND SPARK   

By KANE, FRANK
MUMBAI/PACKT/2017
005.74 KAN

 

 MEB1169 APPLIED PREDICTIVE ANALYTICS: PRINCIPLES AND TECHNIQUES FOR THE PROFESSIONAL DATA ANALYST   

By ABBOTT, DEAN
NEW DEIHI/WILEY/2014
005.74 ABB

 

MEB1167 DATA SCIENCE FROM SCRATCH: FIRST PRINCIPLES WITH PYTHON   

By GRUS, JOEL
MUMBAI/SHROFF/2015
005.74 GRU

 

 MEB1165 DOING DATA SCIENCE: STRAIGHT TALK FROM THE FRONTLINE   

By SCHUTT, RACHEL/ONEIL, CATHY
MUMBAI/SHROFF/2014
005.74 SCH/ONE

 

MEB1150 DATA SCIENCE AND BIG DATA ANALYTICS:DISCOVERING,ANALYZING,VISUALIZING AND PRESENTING DATA   

By EMC EDUCATION SERVICES
NEW DELHI/WILEY/2015
005.74 EMC

 

 MEB1147 INTRODUCING DATA SCIENCE:BIG DATA,MACHINE LEARNING, AND MORE,USING PYTHON TOOLS   

By CIELEN, DAVY/MEYSMAN, ARNO D.B./ALI, MOHAMED
NEW DELHI/DREAMTECH/2016
005.74 CIE/MEY

Why demand for math skills is surging in the technology world

Till about a decade ago, if you specialised in mathematics, you would end up being a teacher or a researcher. That has changed dramatically. Specialists in the field in India are now among the most sought after in the financial and technology world. Many of today’s leading digital technologies – artificial intelligence, machine learning, data science, big data, cyber security – need strong foundational knowledge of mathematics.

“Data science is based on three skill sets – a background in math or statistics, exposure in computer science, and business or domain knowledge,” says Ashok Kalidas, head of data science & innovation at research firm Kantar’s analytics practice. “Where a math graduate adds value is in the ability to understand the mathematics behind the models and innovate on top of that.”

Kalidas says AI and deep learning solutions can be implemented using software, but you need mathematics to understand the inner workings of these solutions. “A mathematics graduate will be able to interpret why you are getting certain types of results, whether it makes sense, how to modify some of it and go to the next level,” he says. Only mathematics will tell you under what circumstances a solution would work and in what circumstances it would not.

Swaminathan Padmanabhan, senior director of data science at software firm Freshworks, says that mathematics helps create unique and more effective ML models than those built using offthe-shelf libraries and automation platforms.

Chakra Mantena, MD and head of technology at Morgan Stanley India, says the company hires mathematics students in the fields of financial modelling and quantitative roles, which involve sitting with traders and helping them decide what to buy or sell.

“The products we help clients trade in are complex fixed income and derivative products which involve pricing them and projecting cash flows. And when you are doing risk analysis, how a certain trade may play out, some of the math involved is intense, and an engineer may not have had exposure to it,” he says.

This means topics such as probability, functional analysis, topology, algebraic geometry, number theory, and graph theory assume great importance. “People who have knowledge in algorithms, probability, linear algebra, statistical methods tend to get absorbed in the finance sector and research labs,” S Dharmaraja, head of the department of mathematics at IIT Delhi, says.

The growing need for math professionals is reflecting in developments at India’s leading educational institutions. The student intake at IIT-Madras’s mathematics department has more than doubled to 30 now, from 12 in 2018. Chennai Mathematical Institute (CMI), which counts Ford, Crisil, Adobe and Credit Suisse among its recruiters, has seen pay packages double to Rs 15.5 lakh this year, from Rs 7.7 lakh six years ago.

“This year, the number of applications increased by almost 60% – to 1,200, from around 700 in the previous year – for the course which is focused on providing jobready skills in data science,” Madhavan Mukund, deputy director and dean of CMI, says.

Salman Abdul Moiz, chairman of the placement guidance and advisory bureau at the University of Hyderabad, points out that until 2016-17, a majority of the students from the school of mathematics and statistics would pursue careers in academics, but in the last two to three years, around 60% of the students are getting recruited by tech firms.

Anupam Kaura, president of HR at ratings & research firm Crisil, says a degree in math is important for his firm because the quantitative, statistical and analytical skills are applied to design, review and refine complex time series models to provide insights into business problems of customers, including regulatory compliances.

“Given that you need to look at a lot of data structures, run statistical tests, regression tests, these are roles for which an ISI (Indian Statistical Institute) graduate is more skilled than an engineer,” he says. Crisil usually hires annually from ISI Kolkata, CMI, Centre for Modelling and Simulation - Pune, Indira Gandhi Institute of Development Research, besides the top IITs.

Many educational technology companies are hiring those with Master’s in math not just for teaching math but subjects like data science concepts, computer science algorithms, applied mathematics. “If you look at data scientists in research and in MNCs in technology and finance, they are all PhDs in mathematics,” says Kaushik Banerjee, VP and business head of staffing firm Teamlease.

Cloud software firm Zoho has hired pure math freshers to its research team for AI & ML-led projects. Shailesh Kumar Davey, co-founder and director of engineering, says such talent helps the engineering team by translating complex research concepts to simpler terms, thereby helping the latter develop good code. “Digital marketing roles also require candidates with knowledge of stats & math,” he says.

India needs a lot more of such skills. Neeraj Sharma, VP of HR at logistics software platform FourKites, says despite hiring from the top statistics schools, they face a skills gap for analytics roles. Data science jobs today, he says, require a knowledge of both statistics and computing techniques.

Source: https://timesofindia.indiatimes.com/articleshowprint/80484247.cms

SFIT LIRC Guide: Under the New Normal

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IEEE Xplore Training Session for SFIT Students

Topic: Taking learning & research forward using IEEE Xplore® digital library.

Host: GK Upadhyaya
Date: Saturday, 30 January 2021
Time: 10:00, India Time (Mumbai, GMT+05:30)
Session Number: Not Available
Registration password: This session does not require a registration password.

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101 FREE ONLINE JOURNAL AND RESEARCH DATABASES FOR ACADEMICS

This resource was designed to help students, academics, and researchers access the information they need without having to subscribe to an expensive service. The directories, databases, and repositories in this list are all free to use (though some require that you sign up first). We have focused on services that catalog free access and open access journals; most of the sites on the list offer at least some such resources, and the items highlighted in green offer exclusively free or open access resources. The online journal and research databases in this list are organized by discipline for ease of reference.

https://www.scribendi.com/whitepapers/101_Free_Online_Journal_and_Research_Databases_for_Academics_Free_Resource.pdf

Source: https://www.scribendi.com/academy/articles/free_online_journal_and_research_databases.en.html

10 Exciting Engineering Milestones to Look for in 2021

While people around the world are setting new resolutions, engineers are innovating for the world’s most important solutions. Learn about 10 #engineering milestones to look out for in #2021 via IEEE Spectrum: https://bit.ly/2LBrcXo.

Source: https://spectrum.ieee.org/aerospace/space-flight/10-exciting-engineering-milestones-to-look-for-in-2021?utm_campaign=IEEE+Spectrum+-+NB&utm_content=while_people_around_the_w&utm_medium=organic&utm_source=twitter