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Cognitive Data Models for Sustainable Environment [Pehme köide]

Edited by (Assistant ), Edited by (VSB Technical University of Ostrava, Czech Republic), Edited by (Principal Systems Engineer in IIT (ISM) Dhanbad), Edited by , Edited by (Professor in Environmental Science, Department of Environmental Science, The University of Burdwan, Burdwan, India)
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Cognitive Data Models for Sustainable EnvironmentSuurem pilt
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Püsilink: https://www.kriso.ee/db/9780128240380.html
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Cognitive Models for Sustainable Environment reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, along with a review of intelligent and cognitive tools that can be used. The book is centered on evolving novel intelligent/cognitive models and algorithms to develop sustainable solutions for the mitigation of environmental pollution. It unveils intelligent and cognitive models to address issues related to the effective monitoring of environmental pollution and sustainable environmental design. As such, the book focuses on the overall well-being of the global environment for better sustenance and livelihood.

The book covers novel cognitive models for effective environmental pollution data management at par with the standards laid down by the World Health Organization. Every chapter is supported by real-life case studies, illustrative examples and video demonstrations that enlighten readers.

  • Explores the development and application of science, engineering and technology in achieving a sustainable lifestyle for humanity
  • Provides tools, connections and proactive solutions to take sustainability programs to the next level
  • Offers perspectives for design, development and commissioning of intelligent applications
  • Provides reviews on the latest intelligent technologies and algorithms related to state-of-the-art methodologies of monitoring and mitigation of environmental pollution
Contributors xv
Preface xvii
1 Multidimensional controlling properties of biofabricated silver-nanoparticles on different mosquito species 1(18)
Arghadip Mondal
Priyanka Debnath
Naba Kumar Mondal
1 Introduction
1(1)
2 Silver nanoparticles synthesis
2(6)
2.1 Plant-mediated synthesis
4(1)
2.2 Microorganism-mediated synthesis
5(1)
2.3 Animal products - mediated synthesis
6(2)
3 Silver nanoparticles application on mosquito
8(4)
3.1 AgNPs application on mosquito larvae
8(2)
3.2 AgNPs application on mosquito pupae
10(2)
3.3 AgNPs application on mosquito egg and adult
12(1)
4 Research gaps
12(1)
5 Conclusion
13(1)
Appendix A. Supplementary data
13(1)
References
13(6)
2 Machine learning-enabled cognitive approaches for handling IoT-based environmental data 19(26)
Gaurav Mohindru
Koushik Mondal
Haider Banka
1 Introduction
19(3)
2 Cognitive IoT data-processing framework
22(4)
3 Solution and technology overview
26(6)
3.1 Data collection
27(2)
3.2 Data storage
29(1)
3.3 Data flow orchestration
29(1)
3.4 Data analysis
30(1)
3.5 Data visualization
31(1)
3.6 Action
31(1)
4 Experimental results and discussion
32(3)
5 Last note
35(4)
6 Future directions
39(1)
Appendix A. Supplementary data
40(1)
References
40(5)
3 Evolution of sustainable environment: a cognitive outlook 45(20)
Vaneet Kumar
Saruchi
Vishal Rehani
1 Introduction
45(1)
2 Classification of smart materials
46(2)
2.1 Piezoelectric substances
46(1)
2.2 Thermosensitive substances
46(1)
2.3 pH-sensitive substances
46(1)
2.4 Chromogenic substances
46(1)
2.5 Hydrogels
47(1)
2.6 Magnetoresponsive substances
47(1)
2.7 Optical fiber
47(1)
2.8 Active and passive substances
48(1)
3 Properties of smart materials
48(1)
4 Application of smart materials
48(8)
4.1 Application in the field of nanotechnology and acoustics
49(1)
4.2 Application in the field of piezoelectric and electrochromic device
49(1)
4.3 Application in field of civil engineering
50(2)
4.4 Application in field of electronics
52(1)
4.5 Application in field of medical
53(1)
4.6 Application of smart material in the field of aerospace
54(1)
4.7 Application of smart material in the field of biosensors
54(1)
4.8 Application of smart material in the field of dentistry
55(1)
5 Impact and aspect of smart material
56(2)
6 Impact of smart material on the sustainability
58(1)
7 Comparative analysis for the evaluation of smart material in sustainable environment
58(2)
7.1 Future challenges and benefits
60(1)
8 Conclusion
60(1)
Appendix A. Supplementary data
61(1)
References
61(4)
4 Application of nanotechnology in pesticides adsorption with statistical optimization and modeling 65(36)
Kamalesh Sen
1 Introduction
65(2)
2 Different techniques of pesticide removal
67(1)
3 Nanomaterial synthesis and characterization
68(1)
4 Nanoadsorbent materials and properties
69(5)
4.1 Carbon-based nanoadsorbents
69(2)
4.2 Miscellaneous nanomaterials
71(1)
4.3 Nanocomposite
72(1)
4.4 Nanoclay
73(1)
5 Nanomaterials application toward pesticides adsorption and modeling
74(8)
6 Statistical optimization-related synthesis of precursors and adsorption
82(8)
6.1 RSM-based optimization
82(5)
6.2 AI-based optimization
87(3)
7 Conclusion and future perspectives
90(1)
Appendix A. Supplementary data
91(1)
References
91(10)
5 Sustainability issues in upcoming wastewater treatment plants at Patna 101(24)
Nityanand Singh Maurya
Sulagna Roy
Astha Kumari
1 Introduction
101(3)
2 Scenario of existing wastewater treatment plants in Patna
104(9)
2.1 Sanitation and wastewater collection system
104(1)
2.2 Wastewater treatment plants
105(4)
2.3 Reasons for failure of the existing wastewater treatment plants (WWTPs)
109(4)
3 Upcoming environmental infrastructure projects
113(2)
3.1 Status of projects pertaining to sewage treatment infrastructure in India
113(1)
3.2 Overview on sewage treatment infrastructure projects undertaken in Bihar and Patna
114(1)
4 Sustainability measures taken in upcoming projects
115(3)
4.1 Appropriate cost analysis of the projects
116(1)
4.2 Adoption of alternate power generation sources
116(1)
4.3 Appointment of skilled and trained operators
116(1)
4.4 Simultaneous development of wastewater collection network
117(1)
4.5 Development of a proper administrative structure
117(1)
4.6 Smooth transfer to urban local body
117(1)
5 Sustainability analysis of the upcoming projects
118(2)
5.1 Environmental sustainability
118(1)
5.2 Economic sustainability
119(1)
5.3 Social sustainability
120(1)
6 Provisions to be included in upcoming projects
120(1)
6.1 Selection of treatment technology during the inception of the projects
120(1)
6.2 Resource recovery
121(1)
6.3 Public participation
121(1)
7 Conclusion
121(2)
Appendix A. Supplementary data
123(1)
References
123(2)
6 Community approach toward disaster resilience 125(38)
Surbhi Sharma
Vaneet Kumar
Saruchi
1 Introduction
125(2)
2 Hazards, vulnerability, and resilience
127(1)
3 Community-based disaster management (CBDM) approach
128(2)
4 Outline of Total Disaster Risk Management (TDRM)
130(1)
5 Disaster reduction cycle
131(1)
6 Case studies
132(17)
6.1 Community-based disaster management approach in Bangladesh
132(2)
6.2 Empowering community for disaster risk reduction in Nepal
134(4)
6.3 Reporting on community-based disaster management in Indonesia
138(5)
6.4 India's community-based disaster risk reduction plan
143(4)
6.5 Japan's disaster risk reduction plan
147(2)
7 Risk mitigation analysis
149(6)
8 Conclusion
155(1)
Appendix A. Supplementary data
156(1)
References
156(7)
7 ZnO nanoparticles: a facile synthesized agent for removing dye from aqueous solution in an ecofriendly way 163(18)
Priyanka Debnath
Arghadip Mondal
Naba Kumar Mondal
1 Introduction
163(1)
2 Synthesis of ZnO nanoparticles
164(3)
2.1 Synthesis of ZnO nanoparticle using plant parts
165(2)
2.2 ZnO nanoparticles synthesis using microbes
167(1)
3 Different characterization techniques of ZnO nanoparticles
167(2)
4 Effect of ZnO nanoparticles on dye solution
169(4)
4.1 Photocatalytic activity of ZnO NPs for dye degradation in wastewater
169(1)
4.2 ZnO NPs as an adsorbent for effective removal of dyes
170(3)
5 Conclusion
173(1)
6 Future perspectives
173(1)
Appendix A. Supplementary data
174(1)
Acknowledgments
174(1)
References
174(7)
8 Optimization of rural indoor kitchen structure and minimizing the pollution load: a sustainable environmental modeling approach 181(22)
Deep Chakraborty
Naba Kumar Mondal
1 Introduction
181(1)
2 Material and methods
182(3)
2.1 Area of study and research design
182(1)
2.2 Study period
183(1)
2.3 Measurement of indoor air quality
183(1)
2.4 Kitchen and living room ventilation pattern
184(1)
2.5 About Response Surface Methodology (RSM) and Central Composite Design (CCD)
184(1)
2.6 Experimental model design
185(1)
2.7 Ethical permission
185(1)
3 Results and discussion
185(11)
3.1 Nonlinear regression models
185(2)
3.2 Descriptive statistics and ANOVA analysis of the response variables
187(6)
3.3 Optimization of the desirable condition by using RSM
193(3)
3.4 Predicted versus actual plots of indoor variables deriving through RSM
196(1)
4 Model improvements
196(3)
5 Conclusions
199(1)
6 Limitation of the study
199(1)
Appendix A. Supplementary data
200(1)
List of abbreviations
200(1)
Acknowledgments
200(1)
References
200(3)
9 IoT-based health care data analytical paradigm using blockchain technology 203(28)
T. Poongodi
R. Sujatha
M. Kiruthika
P. Suresh
1 Introduction
203(5)
1.1 Overview of Internet of Things and its challenges
205(2)
1.2 Technical analysis of blockchain and its key characteristics
207(1)
2 Role of IoT and blockchain in health care
208(5)
2.1 Integration of IoT and blockchain
208(2)
2.2 Reference architecture of IoT and blockchain
210(2)
2.3 IoT and blockchain-based remote patient monitoring system
212(1)
3 Monitoring health care data using smart contracts
213(4)
3.1 Health care IoT devices in remote medical care
214(3)
3.2 Monitoring patient's using smart contract
217(1)
4 Privacy-preserving of health care data
217(3)
4.1 System and threat model of smart health care
219(1)
4.2 Design objectives to achieve privacy-preserving
219(1)
5 Comparative analysis of existing models to secure health care data using IoT and blockchain
220(6)
5.1 Comparative study
224(2)
6 Open research challenges and future directions
226(1)
7 Conclusion
227(1)
Appendix A. Supplementary data
228(1)
References
228(3)
10 Environmental pain with human beauty: emerging environmental hazards attributed to cosmetic ingredients and packaging 231(22)
Kartick Chandra Pal
1 Introduction
231(2)
2 Global scenario of PCCP production
233(1)
3 Fate of cosmetics and related hazards
234(2)
4 Cosmetic ingredients and their environmental impact
236(4)
4.1 Ingredients
236(1)
4.2 Environmental impact
236(4)
5 Plastic in cosmetics
240(5)
5.1 Microplastic
240(4)
5.2 Plastic packaging
244(1)
6 Conclusion
245(1)
Appendix A. Supplementary data
246(1)
List of abbreviations
246(1)
References
246(7)
11 Indian rural housing: an approach toward sustainability 253(31)
Ajay Kumar
1 Introduction
253(1)
2 Concept of sustainability
254(2)
3 Indian rural housing
256(4)
3.1 Rural housing schemes and programs in India
257(3)
3.2 Problems of housing for the rural deprived
260(1)
4 Need for a separate rural housing policy
260(1)
5 Components of rural housing policies
261(2)
5.1 Land availability
262(1)
5.2 Housing finance
262(1)
6 Identification of rural areas for different aspects in housing
263(1)
7 Locally available building materials
264(3)
7.1 Predominant walling materials
266(1)
7.2 Predominant roofing materials
266(1)
7.3 Predominant flooring materials
267(1)
8 Construction techniques
267(3)
8.1 Wall construction techniques
269(1)
8.2 Roof construction techniques
270(1)
9 Settlement forms
270(6)
9.1 Architectural types
272(4)
10 Technical intervention aspects in rural areas
276(1)
11 Solution by technical sustainability in rural housing
276(1)
12 The various technological solutions
277(3)
12.1 Human as a resource for technological transfer
278(1)
12.2 ICT for rural housing
278(1)
12.3 Research and development for rural housing
279(1)
12.4 Extension of the network circulation of technology
279(1)
12.5 Skills improvement of the of Craftsman's found locally
280(1)
12.6 Emphasis on the use of materials found locally
280(1)
13 Approach toward the sustainability
280(2)
13.1 Socioeconomic
281(1)
13.2 Environmental protection
281(1)
14 Inferences from Five Year Plans
282(1)
15 Conclusion
283(1)
Appendix A. Supplementary data 284(1)
References 284
Index 28
Siddhartha Bhattacharyya is a Senior Researcher in the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic. He is also serving as the Scientific Advisor of Algebra University College, Zagreb, Croatia. Prior to this, he served as the Principal of Rajnagar Mahavidyalaya, Rajnagar, Birbhum. He was a professor at CHRIST (Deemed to be University), Bangalore, India, and also served as the Principal of RCC Institute of Information Technology, Kolkata, India. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He was appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He has co-authored six books, co-edited 75 books, and has more than 300 research publications in international journals and conference proceedings to his credit. Dr. Naba Kumar Mondal is a Professor in Environmental Science, Department of Environmental Science, The University of Burdwan, Burdwan, India. He completed his post graduate in Chemistry from Department of Chemistry and doctorate degree in Environmental Science from Department of Environmental Science, The University of Burdwan. He has published his research work in more than 200 reputed international and national journals. His primary research interest are Adsorption Chemistry by low cost adsorbents, Water quality degradation and management in Arsenic and Fluoride affected areas of West Bengal, Indoor Air Pollution and Human Health, Nanotechnology and Mosquito control, Mobile tower radiation and Human health, and Teacher Education. Dr. Mondal has delivered several invited talks and key note addresses in national and international conferences of high repute. Dr. Koushik Mondal is now serving as Principal Systems Engineer in IIT (ISM) Dhanbad. He is presently handling IT and ITES projects of Rs. 40 Crore (INR). He has published about 30 papers in various journals, book chapters and conference proceedings, both international and national repute. Dr. Jyoti Prakash Singh is currently an Assistant Professor in Computer Science and Engineering of National Institute of Technology Patna, India. He has published more than 25 research publications in esteemed journals and conference proceedings. His research interests include social networks, wireless sensor networks and computational intelligence. Dr. Kolla Bhanu Prakash is a Professor and Research Group Head in the CSE Department, KL University, India. His current research interests include Deep Learning, Data Science, Smart Grids and Image Processing.