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Roadmap on ionic liquid crystal electrolytes for energy storage devices
The current organic liquid electrolytes used in electrochemical energy systems cause rapid performance degradation and even combustion. The advancement of new electrolytes with exceptional safety and electrochemical performance is crucial in addressing these challenges. Recently developed ionic liquid crystals (ILCs) offer promising opportunities for tailoring ion transport channels through modified nano segregated structures, thereby ensuring excellent operating safety and combining the advantageous properties of ionic liquids and liquid crystals. This review focuses on investigating the ion conductive properties and operational mechanisms of ILC electrolytes for energy storage and conversion devices, which play a pivotal role in the development of superior electrolytes. The review critically analyzes the recent development and fundamental properties electrochemical interaction framework of ILC electrolytes applied in energy storage devices. Particular attention is given to elucidating the mechanism of ILC and phase formation, past decade fabrication of energy storage device with ILC electrolytes, emphasizing their capacity for ion redistribution and exceptional stability. Additionally, the review addresses the drawback, limitation, commercialization, challenges and provides future perspective for the growth of ILC electrolytes in the field of energy storage. 2024 Elsevier B.V. -
ZnO doped SnO2 nano flower decorated on graphene oxide/polypyrrole nanotubes for symmetric supercapacitor applications
Due to their high power density, lengthy cyclability, quick charge-discharge rates, and environmentally friendly design, supercapacitors are incredibly effective electrochemical energy storage devices. A lot of work has been progressed in this direction to increase the specific power and cyclic stability of supercapacitor mainly by using various metal oxides with 2D composites and high concentration electrolytes. But, there are some challenging issues like low energy density, high production cost, and short cyclic life. In this work, we aimed to resolve the low energy density and operating voltage of electrodes by selecting multiphase inorganic-organic material with a suitable concentration of electrolyte. To create such supercapacitor electrodes for high energy storage applications, ZnO doped SnO2 nanoflower decorated on graphene oxide/polypyrrole nanocomposite, which are novel materials with large specific surface area and cyclic stability were studied. The electrochemical study of the nanocomposite materials is done by studying the cyclic voltammetry (CV), galvanostatic charge-discharge (GCD), and electrochemical impedance (EIS) techniques. The supercapacitor device fabrication is processed using ZS/GP2 electrode, and the analysis of supercapacitor performance is also studied. As a result, ZS/GP2 nanocomposite showed a good capacitive behavior with a maximum specific capacitance of 392 F g?1 at 75 mV s?1 scan rate with significantly high specific energy and power density of 31.6 Wh kg?1 and 5177 W kg?1, respectively after the 27,000 consecutive charge-discharge (GCD) cycles at the current density of 0.25 A g?1. The results evidence that these hybrid materials are highly promising electrode materials for energy storage applications. 2023 Elsevier Ltd -
A microcontroller based low cost electronic locking system using 2-way authentication /
Patent Number: 2021101384, Applicant: Siddhartha Bhattacharyya. -
A centralized ledger platform for secured real-time transactions /
Patent Number: 201931034199, Applicant: Antum Lab LLP.
The present invention relates to new centralized ledger technology with centralized validation process. It offers a single platform for all categories of realtime transactions and validations unlike existing conventional blockchain technology. It offers 3 levels of hashing placed at generator, server and validator ends for data security from data tampering and two levels of encryption for communication lines between generator-server and server-validator for packet security. -
Problems with the advocates (Amendment) bill, 2017 /
International Journal Of Science And Research, Vol.6, Issue 6, pp.2066 - 2068, ISSN: 2319-7064 (Online). -
DKMI: Diversification ofWeb Image Search Using Knowledge Centric Machine Intelligence
Web Image Recommendation is quite important in the present-day owing to the large scale of the multimedia content on the World Wide Web (WWW) specifically images. Recommendation of the images that are highly pertinent to the query with diversified yet relevant query results is a challenge. In this paper the DKMI framework for web image recommendation has been proposed which is mainly focused on ontology alignment and knowledge pool derivation using standard crowd-sourced knowledge stores like Wikipedia and DBpedia. Apart from this the DKMI model encompasses differential classification of the same dataset using the GRU and SVM, which are two distinct differential classifiers at two different levels. GRU being a Deep Learning classifier and the SVM being a Machine Learning classifier, enhances the heterogeneity and diversity in the results. Semantic similarity computation using Cosine Similarity, PMI and SOC-PMI at several phases ensures strong relevance computation in the model. The DKMI model yields overall Precision of 97.62% with an accuracy of 98.36% along with the lowest FDR score of 0.03 and is much better than the other models that are considered to be the baseline models. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Integration of Mobile Edge Computing in Wireless Technology
This chapter delves into the potential for Mobile Edge Computing (MEC) to revolutionize wireless networks through its incorporation in wireless technologies. The authors give a thorough introduction to MEC, including its components, design, and the reasoning behind combining it with wireless networks. This chapter provides a foundational understanding of technologies for wireless communication, focusing on the establishment and improvement of 4G, 5G, and Wi-Fi networks. Different deployment strategies and supporting technologies for MEC integration with mobile networks are explored to demonstrate the adaptability and scalability of this approach. Improved connection, lower latency, and higher bandwidth utilization are just some of the benefits and obstacles of MEC integration that are demonstrated using practical scenarios and applications. This chapter also discusses techniques for optimizing performance and managing resources, as well as security and privacy concerns unique to wireless networks that make use of MEC. In this article, we explore the continuing standardization efforts and industry activities that are pushing MEC usage in wireless networks. Finally, the authors describe the unanswered questions and potential future developments in MEC-enabled wireless networks. This chapter presents a thorough analysis of MEC's incorporation into wireless technology, revealing how this development has the potential to revolutionize mobile communications and open up fresh avenues for developing useful services and applications. 2024 CRC Press. -
Wireless Technology for Providing Safety in Vanets
Both the safety and efficiency of our present transportation systems might benefit greatly from the implementation of vehicular ad hoc networks (VANETs). In this book chapter, the author investigates the significance of wireless technology in improving VANET security. Before discussing the numerous wireless technologies that form the backbone of VANET security, this chapter digs into VANET architecture and communication paradigms. These can be anything from tried-and-true standards like IEEE 802.11p (WAVE) to forward-thinking concepts like 5G cellular networks ability to link vehicles to other objects. Collision avoidance, cooperative adaptive cruise control, junction collision alarms, and pedestrian safety are just some of the real-world applications of V2V communication that have been shown. The importance of security mechanisms, such as authentication, encryption, and data integrity, is discussed at length in this chapter. The narrative also delves into the fascinating intersections of VANETs with autonomous cars and AI, all while tackling issues like spectrum allocation, scalability, and privacy concerns. Case studies shed light on the concrete effects of VANET safety installations, showing how they may reduce accident rates and ease traffic congestion. This last chapter summarizes the potential of wireless technologies to usher in an era of enhanced road safety via the medium of VANETs, distills important insights, and calls for greater advances. 2024 CRC Press. -
Tools and framework for cyber-physical agricultural systems
The development of cyber-physical agricultural systems (CPASs) has created new opportunities for precision farming, sustainable food production, and efficient use of resources. CPAS leverages advanced technologies such as the Internet of Things, artificial intelligence (AI), and machine learning (ML) to collect, analyze, and utilize data to improve farming practices. However, the implementation of CPAS requires the use of various tools and frameworks to ensure seamless integration and communication between different components of the system. One of the key tools for CPAS is sensors. This chapter focuses on key tools for CPAS, such as sensors that can collect data on environmental factors, including temperature, humidity, soil moisture, and nutrient levels, enabling farmers to monitor crop growth and identify issues. The use of drones equipped with cameras and sensors can provide a birds eye view of farmland, allowing farmers to detect issues that are difficult to detect otherwise. Frameworks such as the Open Platform Communication Unified Architecture (OPC-UA) provide a standardized approach to communication between different devices and systems in agricultural systems. OPC-UA enables secure and efficient data exchange between sensors, machines, and other components, enabling the integration of various tools and frameworks within CPAS. This framework ensures that different components of CPAS can communicate seamlessly, leading to more efficient and effective farming practices. Another critical framework for CPAS is the decision support system (DSS). DSS utilizes AI and ML algorithms to analyze data from various sources and provide recommendations to farmers. For example, DSS can provide guidance on crop selection, planting dates, irrigation schedules, and pest management. This framework can assist farmers in making informed decisions that can increase yield, reduce waste, and improve sustainability. 2024 Elsevier Inc. All rights reserved. -
Transmission Jeopardy of Adenomatosis Polyposis Coli and Methylenetetrahydrofolate Reductase in Colorectal Cancer
Colorectal cancer (CRC) is one of the globally prevalent and virulent types of cancer with a distinct alteration in chromosomes. Often, any alterations in the adenomatosis polyposis coli (APC), a tumor suppressor gene, and methylenetetrahydrofolate reductase (MTHFR) gene are related to surmise colorectal cancer significantly. In this study, we have investigated chromosomal and gene variants to discern a new-fangled gene and its expression in the southern populations of India by primarily spotting the screened APC and MTHFR variants in CRC patients. An equal number of CRC patients and healthy control subjects ((Formula presented.)) were evaluated to observe a chromosomal alteration in the concerted and singular manner for APC and MTHFR genotypes using standard protocols. The increasing prognosis was observed in persons with higher alcoholism and smoking ((Formula presented.)) with frequent alterations in chromosomes 1, 5, 12, 13, 15, 17, 18, 21, and 22. The APC Asp 1822Val and MTHFR C677T genotypes provided significant results, while the variant alleles of this polymorphism were linked with an elevated risk of CRC. Chromosomal alterations can be the major cause in inducing carcinogenic outcomes in CRCs and can drive to extreme pathological states. 2021, SAGE Publications Ltd. All rights reserved. -
Extricating the Association Between the Prognostic Factors of Colorectal Cancer
Purpose: Colorectal cancer (CRC) is one of the recurring and lethal gastrointestinal tract disease rankings as the primary cause of worldwide morbidity and mortality. In general, the tumour node metastasis (TNM) and Dukes classification assist in diagnosis, prognosis and treatments of CRC along with haematological examinations and tumour demographic characterisations in patients. Methods: The present investigation is carried out on clinically acknowledged sixty-five CRC patients based on haematological findings and are sorted into stages using TNM and Dukes. The present study is to find the association between haematological findings, demographic characters, differentiation position, lymph node invasion and tumour node metastasis in CRC patients in accordance with their age. Results: We observed significant (p < 0.05) nexus between lymph node metastasis and tumour node metastasis on the basis of tumours differentiation demographic positioning and age of the individuals. Conclusion: Earlier location tracing and medicinal treatment or surgery lessen the chance of CRC morbidity and mortality along with prolonging survival rate via prognostic factors and disease position determination. 2020, Springer Science+Business Media, LLC, part of Springer Nature. -
Regression Analysis as a Metric for Sustainability Development: Validation of Indian Territory
The 2030 Development Agenda styled' Transforming our world The 2030 Agenda for Sustainable Development' was hugged by the transnational locales of the UN General Assembly in 2015. Monitoring the progress of countries towards achieving these pretensions is pivotal for sustainable development. This exploration paper offers an innovative stance toward foretelling the SDG Index of Indian states for the near future times using machine learning ways, logical and visualization tools. The paper focuses on India's sweats towards achieving the SDGs and investigates the factors impacting the SDG performance of individual Indians states. A comprehensive dataset is collected, encompassing a wide range of socio-profitable pointers, demographic data, and environmental criteria applicable to each SDG target. Literal SDG Index scores and corresponding state-specific data are collected to assay and find some trends. The study demonstrates the eventuality of vaticination ways in vaticinating the unborn SDG Index scores of Indian states. The time series graph showcases varying degrees of delicacy across different SDGs, indicating the complexity and diversity of experimental challenges. 2024 IEEE. -
Cognitive synergy: Enhancing late career engagement with ergonomic solutions
The chapter explores the intricate relationship between cognitive ergonomics and late career employees, emphasizing the challenges and opportunities of an aging workforce. It combines research findings and case studies to understand how cognitive aging affects job performance and satisfaction. A central theme is the importance of technology training and support for older workers. As technology advances, organizations must ensure their older employees have the skills to navigate these changes. This includes training in new software and tools, and ongoing support. Flexible work arrangements are also crucial, reducing stress and fatigue from long commutes and rigid schedules. Health screenings and age-friendly workplaces are key. Regular health screenings and access to healthcare can address physical and cognitive challenges. Designing workspaces and processes for older workers fosters inclusivity and diversity. In conclusion, the chapter offers recommendations for organizations to leverage the late career workforce. 2024 by IGI Global. All rights reserved. -
Management practices on execution effectiveness of strategies based on Thirukkural
Thirukkural by Thiruvalluvar contains couplets that speak about the morale necessary for an individual based on the roles played in various circumstances of life. These are applied to various fields including management even today. In this chapter, the authors conduct a narrative analysis on two major aspects of management skills to be inculcated in managers for successful progression of the organization. Execution is one such important aspect of management which plays a significant role in constructing effective doable strategies and executing the strategies without delay after proper analysis, thus sustaining the motivation level of the team and progress. 2024, IGI Global. All rights reserved. -
Exploration of Chemical Reaction Effects on Entropy Generation in Heat and Mass Transfer of Magneto-Jeffery Liquid
In many chemical engineering processes, a chemical reaction between a foreign mass and the fluid does occur. These processes find relevance in polymer production, oxidation of solid materials, ceramics or glassware manufacturing, tubular reactors, food processing, and synthesis of ceramic materials. Therefore, an exploration of homogeneous first-order chemical reaction effects on heat and mass transfer along with entropy analysis of Jeffrey liquid flow towards a stretched isothermal porous sheet is performed. Fluid is conducting electrically in the company of transverse magnetic field. Variations in heat and mass transfer mechanisms are accounted in the presence of viscous dissipation, heat source/sink and cross-diffusion aspects. The partial differential equations system governing the heat transfer of Jeffery liquid is reformed to the ordinary differential system through relevant transformations. Numerical solutions based on Runge-Kutta shooting method are obtained for the subsequent nonlinear problem. A parametric exploration is conducted to reveal the tendency of the solutions. The present study reveals that the Lorentz force due to magnetism can be used as a key parameter to control the flow fields. Entropy number is larger for higher values of Deborah and Brinkman numbers. It is also established that the concentration species field and its layer thickness of the Jeffery liquid decreases for a stronger chemical reaction aspect. To comprehend the legitimacy of numerical results a comparison with the existing results is made in this exploration and alleged an admirable agreement. 2018 Walter de Gruyter GmbH, Berlin/Boston 2018. -
Artificial Intelligence in Forecasting: Tools and Techniques
Forecasting deals with the uncertainty of the future. To be effective, forecasting models should be timely available, accurate, reliable, and compatible with existing database. Accurate projection of the future is of vital importance in supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earthquake prediction, etc. AI powered tools and techniques of forecasting play a major role in improving the projection accuracy. The software running AI forecasting models use machine learning to improve accuracy. The software can analyse the past data and can make better prediction about the future trends with higher accuracy and confidence that favours for making proper future planning and decision. In other words, accurate forecasting requires more than just the matching of models to historical data. The book covers the latest techniques used by managers in business today, discover the importance of forecasting and learn how its accomplished. Readers will also be familiarised with the necessary skills to meet the increased demand for thoughtful and realistic forecasts. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar. -
Gamification in Tourism Teaching and Learning: Exploring the Emergent Dimensions
First introduced in 2002 by British Programmer Nick Pelling, the term gamification has gained massive momentum in the last decade with extensive applications in teaching and learning (Hebebci & Selahattin, Current Studies in Social Sciences 2021:174, 2021). In its simplest form, gamification refers to the adoption of principles and design elements of various games in nongame situations (Deterding et al. From game design elements to gamefulness: Defining gamification. In Proceedings of the 15th international academic MindTrek conference: Envisioning future media environments (pp. 915), 2011). Further, the interaction between the students and technological interventions is rising, opening new avenues for innovative strategies like gamification to promote effective teaching and learning (Kapp, The gamification of learning and instruction: Game-based methods and strategies for training and education. Wiley, 2012). In the context of tourism, works of (Nair, B. B. Endorsing gamification pedagogy as a helpful strategy to offset the COVID-19 induced disruptions in tourism education. Journal of Hospitality, Leisure, Sport & Tourism Education, 30, 100362, 2022.) and Aguiar-Castillo, Herndez-Lez, De SaPez, and Pez-JImez (Journal of Hospitality, Leisure, Sport & Tourism Education, 27, 100267. https://doi.org/10.1016/j.jhlste.2020.100267, 2020) provide insights into the various facets of gamification as a tool for teaching and learning. However, these works hardly address the emerging issues in adoption, implementation, and barriers that have been dealt with in this chapter. Against this backdrop, the first section of this paper ventures into the various implications of gamification in the field of tourism teaching and learning. Next, taking cues from significant land marking studies, this work lists the factors responsible for making gamification an effective teaching and learning tool in tourism. Lastly, attempts have been made to underline the elements that may pose challenges in the path of the rise of gamification as a teaching and learning tool. This work can be primarily classified as a conceptual paper with a systematically drawn inductive approach. Majority of the paper has been drafted based on the review of critical works derived from the search of keywords such as gamification and tourism and teaching and learning on major search engines such as Scopus, Web of Science, and JSTOR. The authors conclude that gamification as a teaching and learning tool in tourism education is still its necesent stages of implementation, and there are an equal number of challenges that need to be addressed before it (gamification) becomes a mainstream tool in tourism teaching and learning. Springer Nature Singapore Pte Ltd 2024. -
Sustaining livelihoods and culture through tourism development: The case of sriniketan in West Bengal, India
The rural area of Sriniketan in West Bengal, India is full of cultural embodiments that can not only serve as a base to develop tourism but also generate sustainable livelihoods. However, the Sriniketan region suffers from chronic poverty and its unique culture is getting depleted thanks to the lack of awareness and interest among locals. With the help of the DFID Sustainable Livelihood Framework (DFID-SLF), this study tries to analyse the contributions that culture-based tourism can make towards generating sustainable livelihoods at Sriniketan. A modified SLF has been prepared with an added element of cultural capital as a contribution to the existing livelihood literature and guiding sheet for future practitioners. Based on the primary (in-depth interviews of fifteen households and five key respondents) and secondary data collected, this paper concludes that tourism development in Sriniketan can not only aid its cultural preservation but also generate an alternate source of livelihood and thereby, making both (culture and livelihoods) sustainable 2023, IGI Global. All rights reserved. -
Introduction
[No abstract available]