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Deep Analytics Technologies for Humanity AI Security

PrefaceDeep analytics does not only mean statistics or data mining or big data analytics, itex multi-dimensional analysis through "7-Sdel based on rationallogical and analytical reasoning from different perspectives such as scope, system,structure, security, strategy stafr-resources and skill-style-support This bookresents an analytical model through a consistent and systematic approach andhighlights its utility and application for reasoning thexity of a set ofemerging technology innovations today: (a)Technology for humanity,(b) DeepS model, (c) Solar computing and self-healing mechanism, (dAdaptive security for SCADa Industrial Control System,(e) SecurepartyQuantum Computing, (f) Secure adaptive filtadversarialSolar power electronics Nanotechnology, (h) Electrical and hybrid vehicleailTech security: Driver advice svstem real-time faultdiagnistics, Gi Cancer prediction and prevention: deep learning, (k) Biomedicaltechnology for cancer care, () Natural disaster epidemic and pandemic outbreakcontrol, (m) Artificial rainfall, laser and cloud physics, (n) Real-time moving targetearch for astronomical hazards, (o)smart agriculture and nanhousing technologyfor smart cities and smart villages and (p) emerging digital technologes for sociafinancial and education security All the characters, sessions, plot and storthe technologies for humanity summit mentioned in this book are imaginativeKusumita Chakraborty has contributed on education and social security andSurvashis Chakraborty has contributed on social and financial securityThe reality is that every stakeholder is impacted by the challenges and opportunitiesof innovation ecosystems today The concept of technology for humanity and deepanalytics is still relatively new; it has now emerged as a powerful tool for businessanalytics and a real world theme in the modern global economy The targets book includes academic and research community, corporateleaders, policy makers, administrators and governments, entrepreneurs, investors,engineers, prodand directors interestedoduction of documentary filmsnews and TV serials We are excited to share the ideas of deep analytics with youWe hope that you will find them really value adding and useful and will share withyour communities It is a rational and interesting option to teach deep analytics invarious academic programmes of various Business Management programmes(e gTechnology Management, Human Resources ManagemeTechnology, Information Systems, Management InformStrategic Management and Analytics for bBA, MBA, PGDM, PGDBM) and alsElectrical and Electronics Engineering(e g Btech, MTech, BE

E, ME Ph D ) Itis also interesting to produce TV serials, webseries and moviesand organize globalummit on technologiesumanities based on the plot of thisk This e-book ishe electronic version of 1 edition; Price: ($250 per copy) This book containsinformation obtained from authentic sources: sincere efforts have been made toblish reliable data and information Thanks and regardsSumit Chakraborty, Fellow (IM Cacutta), BEE (Jadavpur University ) IndiaSuryashis Chakraborty, BBAKusumita Chakraborty, BA(Honours, Education), MA, Ph D, CU, IndiaBusiness Analytics Research Lab, India 1 1 2021Reference of document: EBOOK/ SCHAKRABORTY/DATFH/V10/1-1-2021 Page 2

aste); artificial disaster security (defense, war, act of terrorismterrorismo Responsible consumption and production (Enterprise Resource Planningo Industry, innovation and infrastructure(smart cities, smart villages)o Life on land(environmental pollution, conservation of resources and forest,population control)o Life below water(marine life, water pollution, global warming, oil leakage,Technology for humanity involves integrated strategic planning forecasting, desigrol of miscellaneous technological products,processes and services for the sustainability of human civilization and to understandthe dynamics of technology innovation, hype, priority, capability, maturitdoption, diffusion, infusion, transfer, life-cycle, dominant design, spillover effects,lind spots and also the value of emerging technologies for our society How do wedefine 'Technology for humanity? In our society, there is very little discussionbout what is needed to fundamentally improve our collective quality of life throughfundamental rethinking and radical redesign of systems and processes How do wevolve our societies into something more productive, more rewarding and moreharmony with our natural environment against various threats of disaster?Emerging technologies can not only improve the world in which we live, they canhuman beings and can shape and improve our quality of lifeThe next big tech trend is technology for humanity It is hard to visualize a roadmapfrom industry, government, academia r&d communities of what future jobs andthe economy might offer to people and what society might look like By historicmeasures, future predictions are mostly incorrect We need a better balance in ourthoughts in terms of fairnessrectness and rationality There is no reason whman and machine cannot work together with humans at the controls There is noreason why we cannot make decent investment returns and create meaningful jobopportunities through business model innovation and new technologies buildcommunities and protect the environment from pollution Technology for humanityis definitely about putting the human society back into technology led globaliza2020 is the year of coming out of the hype of old, traditional, dead and obsoleteechnologies

Realistically, it involves the critical role ofshaping a set of emerging technologies to improve the state of humanity Technologyis an enabler, the human society need to aggressively deploy it to address the criticalissues of human society globally These are basically sustainable development goalsGlobal goals are a universal call to action to end poverty, protect the planet fromnatural disasters and environmental pollution and ensure that our society enjoypeace and prosperity through business model innovation and creating new jobsopportunities using our human and technological superpowers and imagination Itis humanity and technology working together to solve various problems, assess andmitigate risks properly The society have to allocate and share resources(e gmanmachine, material, method and money) rationally and optimally by trading off riskand return intelligently The society have to learn how to make acceptable riskdjusted returns eliminating hunger and poverty, creating employment diversity atReference of document: EBOOK/ SCHAKRABORTY/DATFH/V10/

decent wages and cleaning up the planet The society can no longer rewardbehaviors and outcomes that put humanity, communities and the planet inexistential jeopardy There is no point in arguing about a few %o better return onapital when half of the world is underwaterThe expert panel are exploring the scope of technologies for humanity basedglobal security policy and a set of sustainable development goals What is goaThere are different types of goals such as process goals (with control), performancegoals and outcome goals (with least control) Cae denne a rational globaity policy? What should be the goals for a rational global securityan we define sustainability: is it possible to meet the needs of the presentwithout compromising the ability of future generations to meet their own needs?What are Sustainable Development Goals (SDGs)or global goals for thesustainability of human civilizationotect our planet, the Earth, even thisgreat universe by ensuring peace and prosperity and ending poverty?et us analyze the rationality, fairness and correctness ofWhat should be the vision of future world: universal respects for human rights anddignity, the rule of law and justice for equality and non-discrimination, end ofunger and improved nutrition through food security and sustainable agricultureensureing healthy life-style and promoting well-being for all at all ages, ensuringpportunities for all, gender equality and women empowerment This goal settingds the commitment , self-determination and trust among all nations to takeanseenvironmental pollution It is crucial to maintain global security, peace, cooperationcollaboration and equality to solve economic, social, cultural and humanitarianproblems The basic objective is to define a set of universal goals that meet theurgent economic, political and environchallenges fadSustainable Development Goals(SDGs)are a collection of global goals to achieve abetter and more sustainable futurewithin a specific timeline: no povertyzero hunger, good health and well-being, quality education, gender equality, cleanater and sanitation, affordable and clean energy, decent work and economicgrowth, industry, innovation, and infrastructure, reducing inequality, smart cities,illages and communities, responsible consumption and production, climate actionlife below water, life on land, peace, justice, strong institutions and partnerships fogoals The goals are broad based and interdependent

Is it possible to innovate a setof emerging technologies for humanity to achieve sustainable development goals andto track and visualize progress towards the goals through a set of performance3 SYSTEMProf Michel Johnson is analyzing the second element of deep analytics- systemigure 13] A system is a complex grouping of interrelated parts i e machines andagents; it can be decomposed into a set of interacting sub-systems a system mayIve single or multiple objectives; it is designed to achieve overall objectives in thebest possible way It is possible to analyze a system from the perspectives of systemReference of document: EBOOK/ SCHAKRABORTY/DATFH/V10/1-1-2021 Page 12

state, complexity, model, environment, system dynamics, cause effect analysisedback loop, physical and information flows and policy decisions a system maybe open or closed loop a hard system clearly defines objectives, decision makingrocedures and quantitative measures of performance It is hard to define thebjectives and qualitative measures of performance and make decisions for a softystem The state of a system at a specific time is a set of relevant properties of thesystem The complexity of a system can be analyzed in terms of number ofinteracting elements, number of linear and nonlinear dynamic relationships amongelements, number of goals or objectives and number of ways the system interactswith its environment

A model is an abstraction of real system a model is isolatedfrom its environment through model boundaries A model may be static or dynamiclinear or non-linear based on functional relationship among various variables in aechnological innovationsview pointsMiscellaneousechnologyLife-scienceEarth Science0,如&PhysicalnowsFigure 13: System analyticsA complex system can be analyzed from the perspectives of different branches ofengineering and technology such as information and communication technologyelectrical and electronics, mechanical, civil, chemical, metallurgical, biotechnologygenetic engineering, pharmacy and others IT system can be analyzedofcomputing, communication or networking, data, application and security schemaand also application integration (EAl) An electrical system may have variousReference of document: EBOOK/ SCHAKRABORTY/DATFH/V10/1-1-2021 Page 13

bsystems such as power system, renewable energy, photonics, system contrower electronics, machines, measurement instrumentation, illumination andhigh voltage engineering A complex system may be associated with variousdomains of earth science such as space science, water, wind and solarThe basic objective of system analytics is to analyze complex, dynamic, non-linearand linear interactions in various types of systems and design new structures andlicies to improve the behavior of a system a system is associated with a problemriented model; the basie building blocks of system dynamics are cause effectsanalysis, positive and negative feedback loops and physical and information flows

The basic functions of system analytics include defining a problem and modeloundary, building model, testing and validation of a model, model analysis,evaluation of policy alternatives and recommendation of most viable r&D policyelated to technologicalSystem AnalyticAgents: System analysts, business analysts, technology management consultants;Objects /entities: sustainable smart cities, smart villages, communities, smart worldMoves Requirements engineering, system design, coding, prototype testingrection, installation, testing commissioningEmerging technologies: Innovate a set of emerging technologies based on globalecurity parameters and sustainable development goals /Refer to scope analyticssection1事s poverty controlood and beverage security(zero hunger): Automation in agriculturalgineering and animal husbandries (dairy, poultry, epiculturesericulture), biotechnology, genetic engineering(seeds), (chemical(organic fertilizer paste controllers), electrical (solar water pump),civil, mechanical (solar power enabled tractors), food processingdigital technologies (warehouse management system, ERP, SCMome secaster proof nano- housing schema, roof-top solarpanels, civil, mechanical, metallurgical, virtual realityGarments and consumer goods security chemical Jacket, raincoats), textile, agriculture, process manufacturing, retailEducation security digital technology, innovation on educationpolicy (TQM), education methodology, education technologyealthcare security (good health, well being, family planningpopulation control): Biomedical technology (laser surgical robotics)lifearmaceutical, pharmacy, biotechnoldigitaltechnology, artificitelligence (artificial immune system, softputing and machine learning, deep learning, case basedreasoning), precision medicine, genomics), technology related to r&DReference of document: EBOOK/SCHAKRABORTYDATFH/V10/1-1-2021 Page 14

n biological science (biology, botany, zoology, human physiologmicroscope), mechatronicsFinancial security (banking financial services, tax, insurance,retirement planning, stock and derivative trading, economic growth)Digital technology, information and communication technologycomputers, electrical(solar power), electronics, civil, mechanical;Energy security (clean anddable renewable energy ): solarmicrogrid, wind power, power plant technology, mechanical, civil,gital technology(AI enabled smart grid)Utilities security(clean water and sanitation, gas, computing, internet,telecom): Petrochemical, chemical, electrical (solar power enableinduction cooker), water purifier wireless communicationCommunication security: web technology, internet, broadcastLogistics security(travel, hospitalities, surface, water, rail, water)Electrical and hybrid vehicles, Automobile technology, mechanical,lectrical (electrical cycles and scooters, solar power enabled batterymical (carbon), water cycles, waterscooters, drones, electronics (sensors, global positioning system)Information, media and entertainment security digital technology(SOC, SOA), cloud computing, quantum computing, secure adafilter, solar computing, soft computing, Al, deep analytics, datascience, business intelligence, electronics(smart TV, smart phones);o Social security(HR security, decent work, religious and cultural securityender equality, child security, womepartnership, regulatory compliance, strong institutions ) digital te(E-Governance, Social networking, e-court, Al enabled legal system, caseo Natural disaster security (climate change, flood, drought, storm, cycleearthquake, volcano, snowfall, rainfall, fire, bushfire, global warminganimals, insects, paste);rtificial disaster security (war, act of terrorism, bioterrorism): Earthscience, artificial rainfall, cloud physics, artificial immune system, real-timenoving target search for astronomical hazards, music systemRo Industry, innovation and infrastructure (smart cities, smart villages): civimechanical, electrical, electronics, metallurgyo Life on land (ertion conservation of resources and forespopulation control): environmental engineering, sensors, earth scienceo Life below water (marine life, water pollution, global warming, oil leakage

nuclear explosion): environmental engineering, sensors, earth science,Reference of document: EBOOK/ SCHAKRABORTY/DATFH/V10/1-1-2021 Page 15

Let us exploreements engineering of technologies for humanity for the peopleof our society and the planet, now and into the future At its heart are the aforesaidsustainable development goals which are an urgent call for action by all developednd developing countries of the world through strategic alliance and globalartnership The fundamental building block of technologies for humanity isbusiness model innovatiohow is it possible to create new job oppolagainst the threats of environmental pollution (e g air, water, soil, sound and lightpollution)? Who are the customers and service consumers? who are the serviceproviders or the sellints? what do the customersWhat should be theand profit generation streams of an emerging technology How to delivervalue to the customers at appropriate cost? Following table l1 outlines a setglobal security parameters and related emerging technologies for humanityis(2-10) have shown the complexity analysis of these technologiesterms of scope, system, structure, security, strategy, staff-resources and skill-stylsupport4 STRUCTUREProf David Milla is analyzing the third element of deep analytics- structure i e thebackbone of a system associated with a specific technological innovation [Figure4 What are the basic elements of the system architecture associated with atechnology innovation? It has two critical viewpoints: system architecture andganization structure The first one considers technological aspects of the systemarchitecture in terms of topology, smart grid and various components of industrialcontrol system such as SCADA, Expert system, DCS, PCS, SIS, BAS and EMs

Thetopology of a system should be analyzed in terms of nodes, connectivity, type ofconnections such as P2P or multipoint, layers, interfaces between layers andrganization of layersFor example, osI model is a layered framework for the design of communicationnetworks of information systems It has seven layers from bottom to top: physicaldata link, network, transport, session, presentation and application layers a datcommunication system has five basic components suchge, sender receivertransmission medium and protocol On the basis of nodes and links, the physicaltopology of a communication network can be classified into four categories suchmesh, ring, star and bus The second viewpoint is organization structure -what typeof structureecific technologicmay be functionaldivisional, matrix or network structure Is there any link between technology andorganization structure? It depends on the characteristics of business modelAnother view of structure should be explored in terms of organization structure,size of a firm, economies of scale in R&D, access to complementary resources suchas capital and market, governance mechanisms and organizational learning Thereare various types of organization structure such as divisional and networkenodels The efficiency and creativity of innovation model is closely associated withdifferent types of structural dimensions such as formalization, standardization,centralization, decentralization and loosely coupled networks within and betweenReference of document: EBOOK/SCHAKRABORTYDATFH/V10/1-1-2021 Page 16

firms Global firms should consider several critical factors such as knowledge,resources and technological diffusion to conduct r&D activitiesSystemorganizationarchitectureSmart griIndustrial controlSystemDigital twinsExpert system(EDivisionFigure 14: Structure analyticsHow is it possible to represent the structure of a system associated with a technologynnovation correctly and transparently? Di

gital twins may be an interestingsolution; it integrates the concept of industrial loT, Al, machine learning andsoftware analytics to optimize the operation and maintenance of physical assetssystems and manufacturing processes a digital twin is the digital replica of a livingliasset,systemdevice); it is expected to bridge and support data sharing between the physical andvirtual entities Digital twins can learnItiple sources suchensors, historical time series data, experts and other nodes of the networkingschema of the system and get updated continuously to represent real- time status,king condhe concept of digital twins are expected to be useful for manufacturing, energy(e g HVAC control systems), utilities, healthcare and automotive industries in termsof connectivity, digital traces and product life-cycle management

The concept canbe used for 3D modeling to create digital companions of the physical objects ie anp-to-date and accurate copy of the properties and states of the objects (e g shapeposition, gesture, status, motion) based on the data collected by the sensors attachedto the system It may be useful for the maintenance of power generation equipmentturbines, jet engines and locomotives; monitoring, diagnostics andrognostics to optimize asset performance and utilization through root causanalysis and to overcome the challenges in system development, testing, verificationand validation for automotive applications The physical objects are virtualized andan be represented as digital twin models seamlessly and closely integrated in bothphysical and cyber spaces Digital twins should represent the structure of a productnovation intelligently through various phases of the product life-cyclReference of document: EBOOK/ SCHAKRABORTY/DATFH/V10/1-1-2021 Page 17



SESSioN 1: DEEP ANALYTICS TECHNOLOGIES forhuMANitY and GLOBAL SECURITYEvent Technology for humanity and global security summitVenue: Deep analytics hall, Technology park SanadaTime schedule: 9 am1582020Agents Representatives of various global organizations (nations, childcare, peaceealth, bank, economic forum), Technology management experts from science andtechnology forums, scientists, representatives and ministers from the departments ofcience and technologies of developed, developing and underdeveloped countries,CEOS of global corporations, business development consultants, representativesKey focus areas Deep analytics, 7-S model, Technologies for humanity, GlobalEnvironmental protection, Business model innovation, Global welfare verty, Jobsity, Sustainable developIgrowth, PKeynote speakers: Prof Nil Bajio, Prof Michel Johnson, Prof Kalyan Som, ProfDavid Milla, Dr Rojer MM Schilling, Dr s ChakrabortyDEEP ANALYTICSIt is a sunny, windy morning Seven hundred participants from all over the worldhave come to the technology park, Sanada to attend Technology for humanity andglobal security summit2020 The president of Sanada has inaugurated the summitt is an open forum; there are ten interactive brainstorming sessions; theparticipants are raising a set of debtable and intelligent questions on povertysustainable development goals, global security policy, business modelInnoveconomic growth and entrepreneurship Dr S Chakraborty is presenting the basicerview of deep analytics

He is outlining the concept and mechanism of deepanalytics to evaluate technology management in terms of seven'S' elements(scope,system, structure, security, strategy, staff-resources and skill-style-support) He iso defining the significance of various parameters in the context of technologyment such as technology security, technology classification technologyassociation, technology clustering technology prediction or forecasting, innovationdoption, diffusion, infusion and dominant design The other objective of thisession is to analyze the emerging concept of technology for humanity and select aet of energihnologies for the sustainability of human civilizationDeep analytics is an intelligent, complex, hybrid, multi-phased and multidimensional data analysis system [ Figure l1 The basic steps of computation aredata sourcing, data filtering/preprocessing, data ensembling, data analysis andknowledge discovery from data The authorized data analysts select an optimal setof input variables, features and dimensions (eg scope, system, structure, securitytrategy, stafi-resources, skill-style-support) correctly being free from maliciousattacks (eg false data injection, shilling); input data is sourced throughauthenticated channels accordingly The sourced data is filtered, preprocessed (egbagging, boosting, cross validation) and ensembled It is rationaloptimal mix of quantitative (eg regression, prediction, sequence, associationReference of document: EBOOK/SCHAKRABORTYDATFH/V10/1-1-2021 Page 4

classification and clustering algorithms) and qualitative(e g case based reasoning,perception, process mapping, SwOT, Csf and value chain analysis) methods fomulti-dimensional analysis The analysts define intelligent training and testingstrategies in terms of selection of correct soft computing tools, network architectureof layers and nodes; training algorithm, learning rate, no of training rounds,ross validation and stopping criteria

The hidden knowledge is discovered fromerms of collective, collaborative, machine, security and business intelligenceThe analysts audit fairness and correctness of computation and also reliabilityconsistency, rationality, transparency and accountability of the analyScopeStructureSkill-Style-SupportSecurityStaff- ResourcesStrategyCollaborativeDeepSecuritysourcingInput dataMachineintelligenceCollaborative analyticsFigure 1 1: Deep AnalyticsDeep analysis can process precisely targeted, complex and fast queries on large (egetabytes and exabytes) data sets of real- time and near real- time systems Forexample, deep learning is an advanced machine learning technique where artificialReference of document: EBOOK/ SCHAKRABORTY/DATFH/V10/1-1-2021 Page 5

neural networks(eg CNN) can learn effectively from large amount of data likeuman brain learn from experience by performing a task repeatedly and graduallyimproves the outcome of learning Deep analytics follows a systematic, streamlinednd structured process that can extract, organize and analyze large amountsof data in a form being acceptable, useful and beneficial for an entity (e g individualhuman agent, organization or bI information system) It is basically a specific typeof distributed computing across a number of server or nodes to speed up thenalysis process Generally, shallow analytics use the concept of means, standarddeviation, variance, probability, proportions,arts, bar charts and tabs toanalyze small data set

Deep analytics analyze large data sets based on the conceptsof data visualization, descriptive and prescriptive statistics, predictive modeling,regression analysis, logistic regression analysis, text analysis and dataDeep analytics is oftenerform query based search on large data, analyze, extractact information from dataets hosted on a complex and distributed architecture and convert that informationto specialized data visualization outcome such as reports, charts and graphs Inthis summit, deep analytics has been applied for technology management systemTechnological innovations are practical implementation of creative novel ideas intonew products or services ocesses Innovations may be initiated in many formsch as firms, academic institutions, research laboratories,overnment and private enterprises and individual agents There are differenttypes of innovations from the perspectives of scope, strength, weaknessopportunities, threats and demands from the producers, service providers, users,ervice consumers and regulatorsInnovation funnecritical issue in technology management; innovation procesoften perceived like a funnel with many potential ideas passing through the widennel but very few become successful, profitable, economically andfeasible products or services through the dPanalytan intelligent method and consulting tool that is essential for effectivevations today It is basically an integratedframework which is a perfect combination orof seven dimensiontechnological innovation projects fail due to the inability of the project managers torecognize the importance of the fit and their tendency to concentrate only on a fewof these factors and ignore the others These seven factors must be integrated,oordinated and synchronized for the diffusion of top technological innovationsgloballyMechanism / DAMInology Management System /Technology for humanity*/Adopt a hybrid approach quantitative e qualitativesOptional choicesCollaborative analytics / agents multiple data analystsReference of document: EBOOK/SCHAKRABORTYDATFH/V10/1-1-2021 Page 6

Predictive modellingObjectives: Evaluate an emerging technology for innovation, adoption and diffusionConstraints: a vaillability of authenticated and correct data, time effort costInput: Technical data (D,), Business data (Db);/ Entity An emerging technologyfor humanity *ProcedureSource data (Dt, Db);Filter dataEnsemble dataAnalyze data select choicehoice 1: qualitative analysis(Perception, Case based reasoningSWOT, TLC);Choice 2: quantitative analysis (Prediction, Simulation)Choice 3: Hybrid (quantitative e qualitative)Multi-dimensional analysis KDD(S1, S2, S3, S4, S5, S6 S7);/Technology scope, S2: System, S3: Structure, S4: Technology security, sStrategy, S: Stafr-resources, S7: Skill-style-support; KDD: Knowledgediscovery from data半Revelation principleDefine information disclosure policy preserve privacy of strategic dataVerify authentication, authorization and correct identification in datasourcingAudit fairness, correctness, reliability, consistency and rationality ofnasticPayment function: Compare a set of technologies based on cost benefit analysisOutput: Technology intelligence (collective, collaborative, security, machine,Deep analytissential to understand the nature of a techneand identify the gaps between as-is and to-be capabilities in a systematic andmpelling way It reasons seven dimensions under three major categoriesRequirements engineering schema: scope Sii(b) Technology schestructure [S3], security [4 and (c) Technology management schestrategy Isstaff- resources [S6] and skill-style-support [S7] [Figure 1 1 This session analyzeseach dimension briefly and reasons a set of cases of top technology innovationsoday in next sessions [2-10 applying the tool of deep analytics The basic buildingblocks of our research methodology include critical reviews of existing works ontechnology management and case based reasoning We have reviewed various workson technology management

We have collected the data of the cases from varioustechnical papers and secondary sources Session 10 concludes this summi2 SCOPEProf Nil Baijiloring the scope of deepties Technbasically associated with new product development and new process innovation, actReference of document: EBOOK/ SCHAKRABORTY/DATFH/V10/1-1-2021 Page 7

and initiatives of launching new devicthods or materials for commercial andractical applications It is one of the most critical competitive drivers in manndustries such as information and communication technologies, high technologynanufacturing and life-science Deep analytics explores miscellaneous issues of totechnological innovations today such as dynamics of innovation, innovation strategyand implementation process; the impact of globalization of markets and advancednformation and communication technologies, computer sided design, computeranufacturing flexible manufacturing system, econoes of scale and short production run; technology life cycle,diffusion: social environmentalgative effects oftechnological changesfund allocation strategy; pace, advantages andsadvantages of innovation critical success factors causes of failure: costptimization and differentiation Technological innovations are essential to createnew business models

But, many innovation projects fail to make profit due tovarious reasons such as scope creep or ill-defined scope analysisScope analytics of technologicalmappingValue chain analysisengineerinsMiscellaneousalysisSecondary value chaiBottom-up approachThe first element of deep analytics is scope: How to define the goal of an emergingtechnology? The scope of a technology innovation project should be exploredough various scientific and systematic methods such as sustainable goal settingrocess mapping, critical success factors (CsF) analysis, value chain analysinalysis of business objectives, constraints, requirements engineering, mission,vision and top-down and bottom-up approaches [Figure 12] Process mappinganalyzes a set of critical issues: what is as-is process? How to identify gaps of as-isprocess? How to innovate to-be process? what are the inputs, outputs, mechanismand constraint for each task associated with a business process? How to configureprocess flow diagram? The basic objective of CsF analysis is to identify a set ofcritical success factors through business model innovation, application domain andindustry analysisReference of document: EBOOK/SCHAKRABORTYDATFH/V10/1-1-2021 Page 8

of a technology innovation project is explored based on CSFs The basicobjective of value chain analysis is to find out a set of critical parameters: what isvalue; it may be product differentiation, cost leadership or improved quality ofervices? How to define value in a technology innovation? what are the activitiesassociated with primary and secondary value chain? Primary activities addproduct and service directly such as manufacturing and supply chainmanagement; secondary value chain activities (eg HR, Maintenance) supportprimary value chain activities Top bottom approach analyzes business plans andoals of a firm defines the basic needs of a system andes the scope oftechnology innovation projects On the other side, bottom up approach analyze as-isa proiecThe scope of a technological innovation should be explored through industry analysisand also external environment and various stakeholders associated with the valuechain In this connection, Porter's six force model is useful to assess the bargainingpowerstomers and suppliers, role of compliments, threats of new entrantsnd substitutes and competition The internal environment should be accessedthrough SwoT analysis, identification of core competencies and rigidities, dynamiccapabilities, potential strength and opportunities of sustainablpetitidvantages

The scope should be also explored in terms of strategic intent, visionmission and goals from different perspectives such as process innovationorganization learning, financial performance and customer satisfactionThe scope of technological innovations may be analyzed from the perspectives ofroduct or process innovation, radical or incremental, architectural or componentand competence enhancing or destroying innovation Product innovations occur ino roputs of a firm as new products or services Process innovations try toe eficiency oof business or manufacturing process such as increase ofof rejection rate Component or modular innovation changes olr more components of a product Architectural innovation changes theponents of a system interact with each othed different from prior solutions Incrementalation makes a slight change of existing product or processWe have explored a set of innovative concepts such as technology for humanitcancer genomics, separating chromosomes, DNA computing, large scale cheap solarelectricity and photovoltaics technology, solid state batteries, synthetic cells, nexteneration predictive, collaborative and pervasive analytics, big data analdaptive security and dynamic data protection, secure adaptive filter, secure multirty quantum computing, smart transformers, applied Al and machine learning,deep learning, assisted transportation, Internet of Things (loT), cloud computingtechnology, homomorphryption, crash- proof code, social indexing, gesturalgorithms, advanced smart material and devices, activitysecurity protection, virtual reality, chatbots, automated voice spam prevention,erverless computing, edge computing, real- time ray tracing, digital twins, tabletsand mobile devices in enterprisent, innovativeinterfaces for a multichannel future, human computer interface, context awareReference of document: EBOOK/ SCHAKRABORTY/DATFH/V10/

computing and social media, enterprise app stores and marketplaces, in-memocomputing, extreme low energy servers and strategic global sourcingThe expert panel are defining technology for humanity and debating on itsrelevance today from the perspectives of sustainable development goals, globalsecurity policy and welfare, egrowth, poverty, new job opportunities,business model innovation, environmental pollution, skill development and talentmanagement They have selected a set of interesting and emerging technologies forle sustainability of human civilization Some of these technologies are at emelor birth phase of technology life-cycle: deep analytics, solar computing, adaptivesecurity, secure adaptive filter and secure multi-party quantum computing Theother technologies are growing at moderate rate Another objective of this session istoore the concept of technology security, technology transition, technologyclassification, technology association, technology clustering, technology predictionna innovationadoption and diffusion of technologies for humanity globaAgents: System analysts, business analysts, technology management consultants;Objects /entities: sustainable smart cities, smart villages, communities, smart worldMoves Critical success factors analysis, Process mapping, value chain analysisRequirements managementGlobal security parameters: define a set of sustainable development goals

o poverty controlFood security(zero hunger)Home security (disaster proof nano-housing schema)Garments and consumer goods securityEducation securiHealthcare security (good health, well being, famarity (banking, financial services, tansuranceretirement planning, stock and derivative trading, economic growth)Energy security(clean and affordableable energy)Utilities security (clean water and sanitaion, gas, computing, internet,Communication security (internet, broadcastsatelliteater EvsInformation, media and entertainment securityo Social security(HR security, decent work, religious and cultural securityender equality, chilecurity, womens empowerment, peace, justice,partnership, regulatory compliance, strong institutions)o Natural disaster security (climate change, flood, drought, storm, cyearthquake, volcano, snowfall, rainfall, fire, bushfire, global warming,ave,epidemic, astronomical hazards)(attack of wild animals, inReference of document: EBOOK/ SCHAKRABORTY/DATFH/V10/1-1-2021 Page 10