Books by Sumit Chakraborty
Business Analytics Research Lab India, 2020
Deep analytics does not only mean statistics or data mining or big data analytics, it is a comple... more Deep analytics does not only mean statistics or data mining or big data analytics, it is a complex multi-dimensional analysis through ‘7-S’ model based on rational, logical and analytical reasoning from different perspectives such as scope, system, structure, security, strategy staff-resources and skill-style-support. This book presents an analytical model through a consistent and systematic approach and highlights its utility and application for reasoning the complexity of a set of emerging technology innovations today: (a) Technology for humanity, (b) Deep analytics - ‘7-S’ model, (c) Solar computing and self-healing mechanism, (d) Adaptive security for SCADA & Industrial Control System, (e) Secure Multi-party Quantum Computing, (f) Secure adaptive filter in adversarial environment, (g) Solar power electronics & Nanotechnology, (h) Electrical and hybrid vehicles : smart batteries, (i) RailTech security: Driver advice system & real-time fault diagnistics, (j) Cancer prediction and prevention: deep learning, (k) Biomedical technology for cancer care, (l) Natural disaster : epidemic and pandemic outbreak control, (m) Artificial rainfall, laser and cloud physics, (n) Real-time moving target search for astronomical hazards, (o) smart agriculture and nanhousing technology for smart cities and smart villages and (p) Emerging digital technologes for social, financial and education security. All the characters, sessions, plot and storyline of the technologies for humanity summit mentioned in this book are imaginative. Kusumita Chakraborty has contributed on education and social security and Suryashis Chakraborty has contributed on social and financial security.
The reality is that every stakeholder is impacted by the challenges and opportunities of innovation ecosystems today. The concept of technology for humanity and deep analytics is still relatively new; it has now emerged as a powerful tool for business analytics and a real world theme in the modern global economy. The target audience of this book includes academic and research community, corporate leaders, policy makers, administrators and governments, entrepreneurs, investors, engineers, producers and directors interested in production of documentary films, news and TV serials. We are excited to share the ideas of deep analytics with you. We hope that you will find them really value adding and useful and will share with your communities. It is a rational and interesting option to teach deep analytics in various academic programmes of various Business Management programmes (e.g. Technology Management, Human Resources Management, Information Technology, Information Systems, Management Information Systems (MIS), Strategic Management and Analytics for BBA, MBA, PGDM, PGDBM) and also Electrical and Electronics Engineering (e.g. B.Tech, M.Tech, B.E.E., M.E., Ph.D.). It is also interesting to produce TV serials, webseries and moviesand organize global summit on technologies for humanities based on the plot of this book. This e-book is the electronic version of 1st edition; Price: ($250 per copy). This book contains information obtained from authentic sources; sincere efforts have been made to publish reliable data and information. This e-book is the outcome of an interesting project on humanities and human resources management. Thanks and regards.
Sumit Chakraborty, Fellow (IIM Cacutta), BEE (Jadavpur University), India.
Suryashis Chakraborty, BBA.
Kusumita Chakraborty, BA (Honours, Education), MA, Ph.D., CU, India
Business Analytics Research Lab, India. 1.1.2021
Business Analytics Research Lab India, 2019
Deep analytics does not only mean statistics or data mining or big data analytics, it is a comple... more Deep analytics does not only mean statistics or data mining or big data analytics, it is a complex multi-dimensional analysis through ‘7-S’ model based on rational, logical and analytical reasoning from different perspectives such as scope, system, structure, staff-resources, skill-style-support, security and strategy. This book presents a deep analytics model through a consistent and systematic approach and highlights its utility and application for reasoning ten technology innovations today: (1) solar power electronics & Nanotechnology, (2) Electrical and hybrid vehicles : smart batteries , (3) RailTech: DAS, security & safety, (4) Emerging digital technology, (5) Solar computing : Self-healing mechanism for a smart grid, (6) Information Security Intelligence (ISI) Analytics : Adaptive security and dynamic data protection for IIOT, SCADA & ICS (7) Cancer prediction & prevention mechanism: deep learning, (8) Biomedical instrumentation, (9) Artificial rainfall & cloud physics and (10) Real-time moving target search for astronomical hazards.
The reality is that every stakeholder is impacted by the challenges and opportunities of innovation ecosystems today. The concept of deep analytics is still relatively new; it has now emerged as a powerful tool for business analytics and a real world theme in the modern global economy. The target audience of this book includes academic and research community, corporate leaders, policy makers, administrators and governments, entrepreneurs, investors, engineers, producers and directors interested in production of documentary films, news and TV serials. We are excited to share the ideas of deep analytics with you. We hope that you will find them really value adding and useful and will share with your communities. It is a rational and interesting option to teach deep analytics in various academic programmes of various Business Management programmes (e.g. Technology Management, Information Technology, Information Systems, Management Information Systems (MIS), Strategic Management and Analytics for BBA, MBA, PGDM, PGDBM) and also Electrical and Electronics Engineering (e.g. B.Tech, M.Tech, B.E.E., M.E., Ph.D.).
Thanks and regards.
Sumit Chakraborty, Fellow (IIM Calcutta), Bachelor of Electrical Engineering (JU)
Suryashis Chakraborty
Business Analytics Research Lab, India
Business Analytics Research Lab India, 2018
Deep analytics does not only mean statistics or data mining or big data analytics, it is a comple... more Deep analytics does not only mean statistics or data mining or big data analytics, it is a complex multi-dimensional analysis through ‘7-S’ model based on rational, logical and analytical reasoning from different perspectives such as scope, system, structure, staff-resources, skill-style-support, security and strategy. This book presents a deep analytics model through a consistent and systematic approach and highlights its utility and application for reasoning nine technology innovations today: (1) solar power electronics, (2) AI enabled Smart grid, (3) IIOT for SCADA and industrial control system, (4) smart electrical and hybrid vehicles, (5) RailTech: security & safety, (6) Cancer prediction & prevention mechanism, (7) Biomedical instrumentation, (8) Artificial rainfall & cloud physics and (9) Real-time moving target search for astronomical hazards.
The reality is that every stakeholder is impacted by the challenges and opportunities of innovation ecosystems today. The concept of deep analytics is still relatively new; it has now emerged as a powerful tool for business analytics and a real world theme in the modern global economy. The target audience of this book includes academic and research community, corporate leaders, policy makers, administrators and governments, entrepreneurs, investors, engineers, producers and directors interested in production of documentary films, news and TV serials. We are excited to share the ideas of deep analytics with you. We hope that you will find them really value adding and useful and will share with your communities. It is a rational and interesting option to teach deep analytics in various academic programmes of various Business Management programmes (e.g. Technology Management, Information Technology, Information Systems, Management Information Systems (MIS), Strategic Management and Analytics for BBA, MBA, PGDM, PGDBM) and also Electrical and Electronics Engineering (e.g. B.Tech, M.Tech, B.E.E., M.E., Ph.D.).
Papers by Sumit Chakraborty
Reference of document: PAPER/ SCHAKRABORTY/SAFA/ V1.0/1-1-2020 , 2020
This work analyzes the complexity and potential of secure adaptive filter in adversarial environm... more This work analyzes the complexity and potential of secure adaptive filter in adversarial environment and presents a set of secure adaptive filter algorithms (SAFA) based on statistical learning theory, self non-self binary classification and also multi-class classification. The basic building blocks of secure adaptive filter algorithms are association rule based classifier, decision tree and optimal margin classifier. Secondly, SAFA verify the collective and security intelligence of the filter adaptively in adversarial environment in terms of goals, inputs, outputs, mechanism, reliability and consistency of system performance, correctness, fairness and rationality of rules configuration and risk of corruption and various types of malicious attacks. The scope of adaptive filters has been analyzed in terms of a set of interesting database and communication networking applications, distributed systems, data streaming, packet classification, spam filtering, web caching and may be extended to the other application domains such as cyber security, defense, broadcast and mobile communication, finance and governance. Specific focus has been given to correctness (e.g. false positive and false negative) and privacy of computation by the adaptive filter. The correctness of the filter is deeply associated with right configuration of the data schema. The privacy of computation can be ensured through a robust revelation principle of the filter.
The basic objective of digital defense is to verify the security intelligence of a distributed co... more The basic objective of digital defense is to verify the security intelligence of a distributed computing system (DCS) so that the information and communication technology assets of an enterprise are protected from various types of malicious attacks. DCS performs key functions to provide essential services and commodities such as defense, energy, utilities, transportation and communication system of a country. It is a part of a nation's critical infrastructure and operates with the support of industrial control systems, supervisory control and data acquisition (SCADA), sensor networks, information and communication technologies. Distributed computing systems are potentially vulnerable to various types of malicious attacks which may affect the safety of common people and the performance of critical infrastructure seriously and may cause huge financial loss. The present work assesses the risk of different types of threats on DCS and presents a set of intelligent verification mechanisms which can protect the DCS from potential malicious attacks. The verification mechanisms are based on cryptography and distributed secure multi-party computation and check the security intelligence of the DCS from the perspectives of intrusion detection, secure communication, service oriented computing, credential based biometric access control, privacy and inference control. The work also explains the computational intelligence, simulation issues and key management associated with the verification mechanisms and suggests a roadmap for digital defense. An efficient DCS is expected to be a resilient system. The resiliency measures the ability to and the speed at which a DCS can return to normal performance level following a disruption. The vulnerability of a DCS to a disruptive event can be viewed as a combination of likelihood of a disruption and its potential severity.
The basic objective of this work is to explore an intelligent entrepreneurship model in the domai... more The basic objective of this work is to explore an intelligent entrepreneurship model in the domain of renewable energy, more specifically solar energy. This is an interesting cross-fertilization between management science (e.g. business intelligence, technology management, entrepreneurship) and engineering science (e.g. photonics, power electronics, chemical engineering, electrical engineering, renewable energy and structural engineering). It is basically a modest effort to business model innovation and system implementation; it tries to explore a set of fundamental questions based on rational analytics: What are the business intelligence moves in solar technology management? Who are the customers? What do they value? How is it possible to deliver value to the customers at optimal cost? What are the emerging application domains? What is the revenue model? What is the quality policy? What are the corporate social responsibilities? Can the business model generate significant number of new job opportunities in our society? Is the technology ready, feasible and practically implementable? What are the major constraints? What are the critical success factors? The summary of this work is that the proper diffusion of solar power technology at a fast speed requires the effective coordination and integration among eight 'S' elements i.e. business intelligence moves: System, Security, Strategy, Structure, Staff, Skill, Style and Shared vision. The system intelligence is explored along five dimensions: smart materials innovation for photonic cell, power electronic circuit intelligence in terms of power amplifier, converter and inverter, energy storage, energy efficient load (e.g. LED, computing devices, motors) and topology (e.g. microgrid, standalone or hybrid system). The security intelligence is explored along four dimensions: switchgear, relay, earthing system (e.g. lightning arrester, earthing rod) and load manager (e.g. MPPT, energy measurement). The strategic intelligence is associated with good governance, good wishes in public policy, industry analysis, efficient enterprise resource planning, supply chain management and marketing efforts (e.g. pricing, promotion, trust in communication, sales and distribution). The business model requires the support of a process enterprise structure enabled with advanced information and communication technology. The structure should have project, power generation, distribution, maintenance, revenue management, HR, SCM and finance cell. The structure is also important for
Lecture Notes in Computer Science, 2008
The basic objective of collaborative supply chain planning (CSCP) is to fulfill the demand of the... more The basic objective of collaborative supply chain planning (CSCP) is to fulfill the demand of the customers by integrating a network of organizations through mediums such as internet. But, the supply chain (SC) partners are often reluctant to share their strategic information. ...
Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), 2008
In this paper, we have designed an electronic market where a buyer negotiates with n suppliers to... more In this paper, we have designed an electronic market where a buyer negotiates with n suppliers to procure p types of items within a given time frame. A privacy preserving 1-n-p negotiation protocol has been developed based on secure group communication and secure multiparty computation. The suppliers submit their bids. The objective is to label the bids as winning or losing so as to minimize the buyer's cost with the constraint that the buyer obtains all items in required quantity. The negotiation process has two distinct phases -Pre-bid and Final bid. During pre-bid phase, the suppliers singly or jointly bid for a combination of items. The privacy requirements considered are: a) Pre-bid: forward and backward privacy and anonymity of the winner in each pre-bid cycle. b) Final bid: anonymity of the losers and traceability of the winners.
International Journal of Electronic Finance, 2007
Page 1. 442 Int. J. Electronic Finance, Vol. 1, No. 4, 2007 Copyright © 2007 Inderscience Enterpr... more Page 1. 442 Int. J. Electronic Finance, Vol. 1, No. 4, 2007 Copyright © 2007 Inderscience Enterprises Ltd. Prediction of corporate financial health by Artificial Neural Network Sumit Chakraborty Indian Institute of Management ...
International Journal of Management and Enterprise Development, 2007
Page 1. Int. J. Management and Enterprise Development, Vol. 4, No. 5, 2007 533 Enterprise resourc... more Page 1. Int. J. Management and Enterprise Development, Vol. 4, No. 5, 2007 533 Enterprise resource planning: an integrated strategic framework Sumit Chakraborty Indian Institute of Management Calcutta Joka, Diamond Harbour ...
... by Sumit Chakraborty, Satish Kumar Sehgal [email protected] [email protected] Doc... more ... by Sumit Chakraborty, Satish Kumar Sehgal [email protected] [email protected] Doctoral student, IIM Calcutta, Diamond Harbour Road, Joka PO, Kolkata 700 104, India ... Sumit Chakraborty, Satish Kumar Sehgal & Asim Kumar Pal Management Information Systems ...
… , 2005. Proceedings. IEEE, 2005
Privacy Preserving E-Negotiation Protocols based on Secure Multi-party Computation Sumit Chakrabo... more Privacy Preserving E-Negotiation Protocols based on Secure Multi-party Computation Sumit Chakraborty Management Information Systems, Indian Institute Of Management Calcutta [email protected] Satish Kumar Sehgal General Motors,India [email protected] ...
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Books by Sumit Chakraborty
The reality is that every stakeholder is impacted by the challenges and opportunities of innovation ecosystems today. The concept of technology for humanity and deep analytics is still relatively new; it has now emerged as a powerful tool for business analytics and a real world theme in the modern global economy. The target audience of this book includes academic and research community, corporate leaders, policy makers, administrators and governments, entrepreneurs, investors, engineers, producers and directors interested in production of documentary films, news and TV serials. We are excited to share the ideas of deep analytics with you. We hope that you will find them really value adding and useful and will share with your communities. It is a rational and interesting option to teach deep analytics in various academic programmes of various Business Management programmes (e.g. Technology Management, Human Resources Management, Information Technology, Information Systems, Management Information Systems (MIS), Strategic Management and Analytics for BBA, MBA, PGDM, PGDBM) and also Electrical and Electronics Engineering (e.g. B.Tech, M.Tech, B.E.E., M.E., Ph.D.). It is also interesting to produce TV serials, webseries and moviesand organize global summit on technologies for humanities based on the plot of this book. This e-book is the electronic version of 1st edition; Price: ($250 per copy). This book contains information obtained from authentic sources; sincere efforts have been made to publish reliable data and information. This e-book is the outcome of an interesting project on humanities and human resources management. Thanks and regards.
Sumit Chakraborty, Fellow (IIM Cacutta), BEE (Jadavpur University), India.
Suryashis Chakraborty, BBA.
Kusumita Chakraborty, BA (Honours, Education), MA, Ph.D., CU, India
Business Analytics Research Lab, India. 1.1.2021
The reality is that every stakeholder is impacted by the challenges and opportunities of innovation ecosystems today. The concept of deep analytics is still relatively new; it has now emerged as a powerful tool for business analytics and a real world theme in the modern global economy. The target audience of this book includes academic and research community, corporate leaders, policy makers, administrators and governments, entrepreneurs, investors, engineers, producers and directors interested in production of documentary films, news and TV serials. We are excited to share the ideas of deep analytics with you. We hope that you will find them really value adding and useful and will share with your communities. It is a rational and interesting option to teach deep analytics in various academic programmes of various Business Management programmes (e.g. Technology Management, Information Technology, Information Systems, Management Information Systems (MIS), Strategic Management and Analytics for BBA, MBA, PGDM, PGDBM) and also Electrical and Electronics Engineering (e.g. B.Tech, M.Tech, B.E.E., M.E., Ph.D.).
Thanks and regards.
Sumit Chakraborty, Fellow (IIM Calcutta), Bachelor of Electrical Engineering (JU)
Suryashis Chakraborty
Business Analytics Research Lab, India
The reality is that every stakeholder is impacted by the challenges and opportunities of innovation ecosystems today. The concept of deep analytics is still relatively new; it has now emerged as a powerful tool for business analytics and a real world theme in the modern global economy. The target audience of this book includes academic and research community, corporate leaders, policy makers, administrators and governments, entrepreneurs, investors, engineers, producers and directors interested in production of documentary films, news and TV serials. We are excited to share the ideas of deep analytics with you. We hope that you will find them really value adding and useful and will share with your communities. It is a rational and interesting option to teach deep analytics in various academic programmes of various Business Management programmes (e.g. Technology Management, Information Technology, Information Systems, Management Information Systems (MIS), Strategic Management and Analytics for BBA, MBA, PGDM, PGDBM) and also Electrical and Electronics Engineering (e.g. B.Tech, M.Tech, B.E.E., M.E., Ph.D.).
Papers by Sumit Chakraborty
The reality is that every stakeholder is impacted by the challenges and opportunities of innovation ecosystems today. The concept of technology for humanity and deep analytics is still relatively new; it has now emerged as a powerful tool for business analytics and a real world theme in the modern global economy. The target audience of this book includes academic and research community, corporate leaders, policy makers, administrators and governments, entrepreneurs, investors, engineers, producers and directors interested in production of documentary films, news and TV serials. We are excited to share the ideas of deep analytics with you. We hope that you will find them really value adding and useful and will share with your communities. It is a rational and interesting option to teach deep analytics in various academic programmes of various Business Management programmes (e.g. Technology Management, Human Resources Management, Information Technology, Information Systems, Management Information Systems (MIS), Strategic Management and Analytics for BBA, MBA, PGDM, PGDBM) and also Electrical and Electronics Engineering (e.g. B.Tech, M.Tech, B.E.E., M.E., Ph.D.). It is also interesting to produce TV serials, webseries and moviesand organize global summit on technologies for humanities based on the plot of this book. This e-book is the electronic version of 1st edition; Price: ($250 per copy). This book contains information obtained from authentic sources; sincere efforts have been made to publish reliable data and information. This e-book is the outcome of an interesting project on humanities and human resources management. Thanks and regards.
Sumit Chakraborty, Fellow (IIM Cacutta), BEE (Jadavpur University), India.
Suryashis Chakraborty, BBA.
Kusumita Chakraborty, BA (Honours, Education), MA, Ph.D., CU, India
Business Analytics Research Lab, India. 1.1.2021
The reality is that every stakeholder is impacted by the challenges and opportunities of innovation ecosystems today. The concept of deep analytics is still relatively new; it has now emerged as a powerful tool for business analytics and a real world theme in the modern global economy. The target audience of this book includes academic and research community, corporate leaders, policy makers, administrators and governments, entrepreneurs, investors, engineers, producers and directors interested in production of documentary films, news and TV serials. We are excited to share the ideas of deep analytics with you. We hope that you will find them really value adding and useful and will share with your communities. It is a rational and interesting option to teach deep analytics in various academic programmes of various Business Management programmes (e.g. Technology Management, Information Technology, Information Systems, Management Information Systems (MIS), Strategic Management and Analytics for BBA, MBA, PGDM, PGDBM) and also Electrical and Electronics Engineering (e.g. B.Tech, M.Tech, B.E.E., M.E., Ph.D.).
Thanks and regards.
Sumit Chakraborty, Fellow (IIM Calcutta), Bachelor of Electrical Engineering (JU)
Suryashis Chakraborty
Business Analytics Research Lab, India
The reality is that every stakeholder is impacted by the challenges and opportunities of innovation ecosystems today. The concept of deep analytics is still relatively new; it has now emerged as a powerful tool for business analytics and a real world theme in the modern global economy. The target audience of this book includes academic and research community, corporate leaders, policy makers, administrators and governments, entrepreneurs, investors, engineers, producers and directors interested in production of documentary films, news and TV serials. We are excited to share the ideas of deep analytics with you. We hope that you will find them really value adding and useful and will share with your communities. It is a rational and interesting option to teach deep analytics in various academic programmes of various Business Management programmes (e.g. Technology Management, Information Technology, Information Systems, Management Information Systems (MIS), Strategic Management and Analytics for BBA, MBA, PGDM, PGDBM) and also Electrical and Electronics Engineering (e.g. B.Tech, M.Tech, B.E.E., M.E., Ph.D.).