Volume-8, Issue-5

September-October, 2022

Review Paper

1. Natural immunity booster -the basic protective gear from pandemics in the international arena

‘Immunity’ might be the most searched word during the Covid-19 pandemic. Basically, the term immunity is an innate property of human beings, but to sustain this property we need to follow healthy food habits, cleanliness, etc. Covid 19 pandemic proved the importance of immunity & those who do not keep proper immunity, need to take an immunity booster. This immunity booster may be a group of foods, dietary supplements, medicine, health drinks, etc. In this article, our main aim is to discuss how a good immunity system helps to prevent pandemics & review the role of an immunity booster to increase immunity.

Published by: Avdesh Thassu, Chandra Mohan NandiResearch Area: Immunity

Organisation: Emami Ltd., Kolkata, West BengalKeywords: Immunity, Immunity Booster, Vitamin, Trace Element, Food, Yoga

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2. Optical cable fiber industry- An Indian perspective

Due to its increased bandwidth and ability to transmit messages over long distances, optical fibres are reshaping the Indian telecom industry. The market for optical cable fibres is expanding due to the demand for quick and better networks. Due to the new normal, there has been an increase in Fiber to Home (FTTH) access. Due to their faster transmission speed and lower loss, optical fibre is becoming more and more necessary in the office and telecom sectors. Additionally, they have great EMI resistivity, which makes them perfect for usage in hostile environments. Numerous industries, with the telecommunication industry being the most prevalent user, use fibre optic technology, including the military, telecommunication, medical, etc. The market for optical fibre cables (OFC) in India was worth $881.5 million in 2019 and is anticipated to increase at a CAGR of 19.7% to reach $2.1 billion by 2024. It is hoped that government initiatives like the Smart City Initiative and Digital India will accelerate the progress of the industry

Published by: Vihaan MercchantResearch Area: Economics and Business Studies

Organisation: Jamnabai Narsee International School, Mumbai, MaharashtraKeywords: Bandwidth, Transmission, Propagate, Cladding, Patent, Telecommunication, Pliable, Quantitative

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3. Fatigue seen in caregivers of the intellectually disabled population

Individuals with disabilities are often dependent on their primary caregivers for assistance and activities of daily living. A caregiver here may either be a family member or a person trained in special health care. Most caregivers are found to be stressed and fatigued due to the nature of their work. In case the caregiver is a member of the family it is important to equally distribute the responsibilities of the disabled person amongst family members to avoid extra burden on any one person.

Published by: Alisha Lalljee, Dr. Chandita BaruahResearch Area: Mental Health and Disability

Organisation: Assam Don Bosco University, Guwahati, AssamKeywords: Mental Health, Disability, Fatigue

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4. Sex education program for intellectually disabled

Individuals with special needs experience the same sexual feelings like the neurotypical population. This process consists of an interaction between the physical, cognitive, mental, social, relational, ethical, religious and cultural factors as illustrated by Murphy and Elias (2006). Sex education can support children and young people with disabilities in their sexual development and contribute to their health and wellbeing but most of them are deprived of this privilege and do not get the required education that would foster a positive image of sexuality and would empower them. The present paper aims at presenting a full-fledged curriculum design that can enable the intellectually disabled to learn about sex education in a step by step and gradual manner with reinforcement at different stages to gauge the level of understanding of the same.

Published by: Alisha Lalljee, Dr. Chandita BaruahResearch Area: Education

Organisation: Assam Don Bosco University, Guwahati, AssamKeywords: Disability, Sex Education, Mental Health

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Review Paper

5. Intrusion Detection Classification and Detection by Machine Learning and Deep Learning Approaches: Review

DoS attacks that disrupt important, intelligent services like healthcare can also result in human death due to the disruption of routine services. devices (for example, intelligent refrigerators, smart televisions, and air conditioners) are easily attacked by attackers who exploit their weaknesses to launch denial-of-service attacks. As a result, one of the primary concerns for researchers all over the world is the protection of these devices. Globally, intrusion detection is being studied to fix this matter. IDS are classified into three categories based on their detection capabilities: Depending on a signature, a specification, or an anomaly. Whenever a device or network connections analyses an attack against a signature contained in the inner IDS database, an attack is identified by IDSs. If a device or network operation matches one of the saved signatures/patterns, a warning will be generated. This method is extremely reliable and effective at recognizing identified risks, and its process is simple to comprehend. However, this technique is ineffective in classifying new attacks and discrepancies between current These sorts of assaults do not have a meaningful signature to identify them If the divergence from a specified behaviour profile exceeds a predefined threshold, an anomaly-based intrusion detection system (IDS) issues an alert. Classifying intrusions does not seem to follow a typical pattern, and understanding the whole spectrum of normal activity is not an easy task. Emerging threats may be identified using this method. As a consequence, there is a significant rate of false positives with this method. Routing tables, protocols, and nodes, for example, are all part of the specification-based approach since they are all defined by a set of rules and criteria. It is possible to identify intrusions when network behaviour deviates from standards' specifications, using specification-based techniques. Therefore, specification-based detection is used for the same goal as anomaly detection: to separate aberrant behaviour from normal behaviour.

Published by: Ayush Gautam, Shivani RanaResearch Area: Computer Science

Organisation: Himachal Pradesh Technical University, Hamirpur, Himachal PradeshKeywords: IDS, Machine Learning, Deep Learning, Classification

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6. Credit Card Fraud Detection and Classification by Optimize Features and Deep Learning

Traditionally, rule-based systems have been the primary instrument for detecting fraud in today's financial systems, with fraud specialists defining the rules based on prior instances and outcomes. If a new transaction meets one or more of the previously established criteria, an alert is triggered, indicating that the new transaction may be fraudulent. For previously known fraud tendencies, the rule-based method is effective. Before adding a new rule to the current rule set, a sufficient number of fraudulent transactions must have happened that fit the rule. During this time span, fraud techniques may evolve, resulting in the induced rule expiring. Thus, the emphasis should be on using prior transactions that follow a rule-based approach in conjunction with an unsupervised method that detects previously unknown fraud activity. There is a need to use fraud detection systems that are capable of keeping up with the cardholder's updated spending behaviour. The detection process's goal is to identify as much fraud as possible while reducing the false positive rate, which has a negative effect on cardholder satisfaction as the cost of providing more false alarms increases. To accomplish this approach, the threshold value is determined at the account level of the cardholder by evaluating the probability sequence of previous and new incoming transactions. Additionally, identified fraudulent transactions are labelled in the database for future analysis in the event that additional assessment is required.

Published by: Razia Seema, Kumari ArchanaResearch Area: Computer Science

Organisation: Himachal Pradesh Technical University, Hamirpur, Himachal PradeshKeywords: Deep learning, Fraud, Detection, Classification

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Review Paper

7. Carbon credits: Are they effective?

In today’s sustainable and environmentally responsible world, it is necessary to track and regulate a country’s CO2 emissions. This paper will evaluate if carbon credits in the form of carbon taxes have an effect on CO2 emissions and if there is, to what extent. The data used are from countries that have successfully established carbon tax. The paper will investigate the above by using a Linear Regression Model with the carbon tax, GDP per capita, and Area of the country as the explanatory variables and CO2 emission as a dependent variable.

Published by: Sanjana SaigalResearch Area: Environmental Economics

Organisation: University of Delhi, New Delhi, DelhiKeywords: Econometrics, Regression, R Programming, Carbon Footprint, Climate Change, Environment, Taxes, Carbon Credits

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8. Emerging smart fashion and its scope in the future

Smart Fashion has recently attracted the attention of the world and people are enthusiastically adopting it. It is a new form of fashion with technology embedded in it, which makes our everyday activities more efficient and less time-consuming. This study provides information about how smart fashion is developing and the different sectors where it is being actively adopted by professionals and governments. The paper discusses the emergence and continual growth of smart fashion in various domains: military, healthcare, sports and marine. Smart fashion for the elderly smart textiles and gadgets for the youth have also been included in the study. Smart Fashion has yet not been extensively adopted by the world yet, however, the research work shows the enormous potential it carries; it throws light on how with the advancement of technology, it will become more and more aesthetically pleasing and comfortable for commoners and industrials.

Published by: Gaurika VaswaniResearch Area: Fashion

Organisation: Singapore American School, SingaporeKeywords: Fashion, Emerging, Developing

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Review Paper

9. Operations Research on service scheduling in the healthcare sector: A systematic review

The current state of healthcare in the world is dire, with millions of people unable to access healthcare services on time. One of the key reasons behind this problem is the lack of operational efficiency in many clinics and hospitals, caused due to unscientific scheduling practices. Hence, this paper seeks to conduct a systematic review of the existing research done in the field of healthcare service scheduling, and its multiple sub-sections viz. appointment scheduling, nurse rostering, home healthcare scheduling, etc. The bibliometric review found that majority of the research in the aforementioned field is scattered and lacks integration. Moreover, past research has primarily employed matheuristics, mixed integer linear programming and simulation approaches to solve service scheduling problems, without exploring other methods to a great extent. In the end, we suggest some topics in which future research can be conducted.

Published by: Aryan Smith, Aryan Jain, Anushka Agarwal, Arhan Shroff, Aryan Verma, Veerendra AnchanResearch Area: Healthcare Sector (Service Scheduling)

Organisation: Anil Surendra Modi School of Commerce, Mumbai, MaharashtraKeywords: Service Scheduling, Healthcare, Review, Operation Research, Queueing

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Review Paper

10. Operations Research in tourism: A systematic literature review

The tourism sector is extremely competitive and characterized by fierce competition for the discretionary spending of tourists. To effectively compete in the tourism sector, a nation or region must be able to make informed strategic and operational decisions. In this decision-making process, the capacity to predict tourism demand with accuracy in the context of an ever-changing environment may be very helpful. Academic study on tourism is increasingly becoming the main topic as its economic significance increases. Research in this field aids in comparing best practices and spotting new patterns in tourist demand and supply. This is where the exploding use of Big Data in the recent year comes in. Big Data, a relatively newer phenomenon is a complex and huge data set that is derived from a combination of numerous individual data. The main objective of the research is to understand and review the existing research on the application of operation research and big data in the tourism sector for revenue and efficiency maximization, extrapolating data to estimate potential future demand, challenges faced by the hospitality sector, and comprehend the latest trends in tourism marketing, among other things. The paper evaluates the available studies on the tourist business sector using various software available.

Published by: Miit Virani, Mohak Saboo, Mudit Bagla, Nandini Sarin, Neeharika KhandelwalResearch Area: Tourism Sector

Organisation: Anil Surendra Modi School of Commerce, Mumbai, MaharashtraKeywords: Tourism, Operations Research, Big Data, Sustainability, Optimization, COVID-19

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Review Paper

11. Disaster management and application of different methods: A systematic review

Disaster management methods help in planning, organizing, coordinating and implementing measures for preventing the loss due to disasters. These methods also help in reducing the effect of disasters by providing effective resolving techniques. In this paper we have conducted a systematic literature review on various different methods which have been used in phases of disasters. A total of 153 published research and review articles have been chosen from the search for analysis. Different disaster management methods are reviewed and summarized. Also highlighted are the contributions of various authors, their methodological focuses, and additional findings of the reviewed works. It is noticed that most of the papers with different methods analyzed prevention techniques, preparedness during disasters, mitigation phase and recovery phase. In recent years, studies have focused on advanced technological methods like remote sensing and using drones for managing disaster; however, in the literature, few papers have applied technological methods in the area of disaster management. The contribution of the review paper to the literature is by looking over the present research, and putting forward new opportunities for future research in the area of disaster management by applying different methods.

Published by: Devansh Jain, Chaitrali Gaidhani, Ashish , Devaansh Soni, Devarya ShahResearch Area: Disaster Management

Organisation: Anil Surendra Modi School of Commerce, Mumbai, MaharashtraKeywords: Disaster Management, Effective Decision Making, Disaster Risk Reduction, Disaster Preparedness, Geographic Information System, Remote Sensing

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12. DDoS Detection in Internet of Medical Things Approaches: Review

Health is a primary concern for every individual and to make it better all the resources should be available on one’s hand. To make it practical manual supervision of healthcare tradition must be evaded. As various conventional healthcare practice, manual supervision in patient diagnosis, generating bills and maintains all medicine stock records, patient past records manually. Manual supervision of healthcare results to human error and the whole healthcare process becomes lengthy. To overcome these problems, a smart healthcare system enabled with Internet of Things (IoT) comes into sight, which lowers human error risk and also helps physician to diagnose the disease more effectively.

Published by: Reena Devi, Avni SharmaResearch Area: Computer Science

Organisation: Himachal Pradesh Technical University, Hamirpur, Himachal PradeshKeywords: IoT, Medical, sensors, optimization

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13. Impact of social media during elections - A global perspective

Smart leaders frequently use new media to affect politics. Election-related effects of social media were noticeable in the early 2000s. In his first presidential campaign, Barack Obama made use of social media to mobilize the public and win the 2008 election. According to Pew Research Center, 74% of internet users or 55% of the adult population—looked for election news online during Obama's first campaign. Local elections also benefit greatly from social media. A famous example is when Beto O'Rourke came dangerously close to unseating Senator Ted Cruz in 2018. The majority of Indian political figures now use Facebook and Twitter to express themselves without the censorship of mainstream media. It is vital to understand how social media affects elections and what voters can do to use the internet responsibly given that candidates devote a lot of resources to social media campaigns. Social media platforms were created by businesses to encourage interaction, but although this interaction can help politicians spread their messages and reach more voters, it has also been demonstrated to make it simple for election misinformation to spread globally

Published by: Arhaan LullaResearch Area: Political Science

Organisation: Bombay Scottish School, Mumbai, MaharashtraKeywords: Social Media, Twitter Bombs, Google Bombs, Political Campaigns, Traditional Media, Political Parties, Candidates, Civic Engagement, Political Messaging, Political Engagement, Online Presence, Political Participation, Internet, Crowd Sourcing, Advertising, Panel Data, Political Communication, Fundraising, Digital Domain, Political Promotion

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Review Paper

14. Application of Queuing Theory in Passenger Queuing Optimization at Airports – A Systematic Review

Waiting lines and queues are a frequent occurrence in both the workings of businesses and the daily lives of clients. A queue is the first contact point between a business and its client. Clients may not be satisfied with lengthy queues. Therefore, in order to leave a lasting first impression on the client’s mind, it is crucial for a company to ensure minimal queuing. The aviation industry experiences significant queuing issues as a result of passengers queuing up for boarding, departure, luggage pickup, and so on. A systematic queue network is also required to guarantee that planes experience minimum air and runway congestion. Queuing theory is a mathematical approach to the analysis of queue waiting times. This paper presents a run-through of queuing theory and its application in the aviation industry, covering a detailed explanation of queuing theory, terminologies associated with it, recent advancements in airport queuing, various queuing models, as well as some suggestions for further research.

Published by: Jash Bhanushali, Himank Bhateja, Jia Vora, Hitanshi Shah, Jinal Jain, Veerendra AnchanResearch Area: Transportation - Operations Research

Organisation: Anil Surendra Modi School of Commerce, NMIMS University, Mumbai, MaharashtraKeywords: Queuing Theory, Queuing Models, Simulation, Airport Queuing, Passenger Queuing

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15. Operations research in supply chain management of fashion and textiles: Systematic literature review

This paper will cover the adverse effects of the constantly growing fast-fashion industry within the textile industry on the environment and the challenges faced while trying to make the industry more sustainable in terms of supply chain management. This literature review critically analyses the content of over two hundred papers published in many alternative reputed journals and books spread over fifty years i.e., 1972 to 2022. This systematic literature review is designed by using the subsequent categories: year, sustainable supply chain management (SSCM), textile industry, recycling, textile industry sustainability, water waste management, and barriers. The findings from this literature that the sustainability problems have been solved in theory using multiple different methods such as linear programming problem(LPP), Decision Making Trial and Evaluation Laboratory (DEMATEL) method, life cycle assessment (LCA), etc., but implementation is difficult. The results indicate that with increasing consumer awareness, more and more opportunities are becoming available to put the problems solved in theory into practice with the help of advanced operations research techniques and better and more efficient algorithms in SCM systems.

Published by: Juhi Jhaveri, Hridya Arora, Hriday Soni, Jayprakash Daswani, Isha Thanvi, Veerendra AnchanResearch Area: Textile Industry

Organisation: Anil Surendra Modi School of Commerce, Mumbai, MaharashtraKeywords: Sustainable Supply Chain Management (SSCM), Textile Industry, Fast-Fashion Industry, Sustainability, Barriers, Recycling

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16. Applications of operations research in the airline industry: The aircraft sequencing problem

Operations Research has seen a major breakthrough in the airline industry through airplane sequencing/scheduling problems (ASP). With continual developments, the airline industry has optimized air traffic management and minimized time delays in the arrival and departure of aircraft. There have been contributions from all fields of knowledge to come up with exact solutions and implied algorithms. The objective of this paper is to highlight the analytical discourse of the airline sequencing problem (ASP), outlining graphical formulations, mathematical models, theoretical perspectives, and novel approaches that define the problem and provide alternate contextual solutions. The systematic review focuses on the progress of these approaches to allow a layperson to get a detailed overview of the sequencing/scheduling problem and its implication in the airline industry.

Published by: Saksham Airee, Shivansh Bansal, Sakshi MehtaResearch Area: Aeronautical Engineering ; Operations Research

Organisation: Anil Surendra Modi School of Commerce, Mumbai, MaharashtraKeywords: Aircraft Sequencing Problem, Operations Research, Aircraft Landing Problem, Runway Scheduling Problem, Mixed Integer Optimization, Dynamic Programming

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17. Experimental analysis and optimization of wind turbine for domestic application

The conventional sources of energy are fast depleting and are causing very serious problem to the environment, for example combustion of fuels causes atmospheric pollution which is not suitable for human beings as well as other species living in the environment. The other major drawback of conventional sources is their high cost. The processes by which the conventional sources are extracted are also expensive. So there is a need to search for alternate source of energy and to extract them to meet our needs. An attempt is made to extract alternate source of energy that is wind. Wind energy is used to rotate the blade which helps the dc motor to produce dc current. By installing small wind turbine in the village and city which is situated in western ghat of Tamandu and Maharashtra, the state of Gujarat and Karnataka we can easily produce electricity due to its geographical location. This small wind turbine is able to generate the enough power for a household application in remote area. This will help the nation to overcome with the power crises problem specially in summer season

Published by: S. Nithya Poornima, Dr. V ShanthaResearch Area: Analysis

Organisation: B.M.S Institute of Technology and Management, Bengaluru, KarnatakaKeywords: Turbine, wind energy, Harvesting, generating Power

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18. A study of meteorites on the basis of their source and origin.

Representative samples of meteorites namely, 1) Sikhote Alin (iron meteorite), 2) Campo-del Cielo (iron meteorite), 3) Nantan (stony iron meteorite), 4) Morocco (stony iron), and 5) North West African meteorite (likely to be of chondrite in nature), were investigated to understand their source and origin with respect to their physical properties and chemical compositions. XRF Analysis carried out showed that 1) Sikhote Alin contains Fe - 89.0%, Ni - 4.83% and Si - 3.51% with other elements in minor compositions, 2) Campo-del Cielo contains Fe - 97.4%, Ni - 1.15% with other elements in minor compositions., 3) Nantan contains Fe₂O₃ - 66.8%, SiO₂ - 22.7%, Aluminum - 6.380%, Nickel - 1.760% with other oxides in minor compositions 4) Morocco meteorite contains Fe₂O₃ - 45.7%, SiO₂ - 17.2%, CaO – 14.2%, MgO – 10.9%, SO₃ - 3.80%, Al₂O₃ and NiO – 2.42% and 5) North West African meteorite (N.W.A.) contains SiO₂ - 39.9%, Fe₂O₃ - 27.4%, MgO – 20.8%, Al₂O₃ - 6.040%, CaO – 2.34%, SO₃ - 1.610% and NiO – 0.734%, with other oxides in minor compositions Objects fallen on earth so far has been given a common name ‘meteorites’ The authors of this paper broadly classified meteorites into ‘Seteorites’ and ‘Uniteorites’. The source of ‘seteorites’ is from our solar system and the source of ‘uniteorites’ is from beyond our solar system. Physico - chemical nature of ‘seteorites’ and ‘uniteorites’ are different as per their source. This paper aims at carrying out a detailed study on seteorites (meteorites), to understand their source, origin and their distribution in the solar system with respect to their physical properties and chemical compositions on preliminary basis.

Published by: Raju D. Jadhav, Harishchandra B. MaliResearch Area: Geochemistry

Organisation: Independent ResearcherKeywords: Iron Meteorite, Stony Iron Meteorite, Stony Meteorite (Chondritic In Nature), Source and Origin, Physical Properties and Chemical Compositions.

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19. Central Bank Digital Currencies in India; The digital Rupee: An alternative to cash or not

With rapid changes in technology, digital currencies are gaining momentum across the globe. As of March 2022, 87 countries are considering issuing Central Bank Digital Currencies (CBDC), compared to the 35 countries in May 2020, showing the promise that Digital Currencies hold in the near future. One such country that has been making great strides towards digital currency and holds immense promise for its economic success is India. Digital Rupee—India’s CBDC. The most basic definition of CBDCs are that they are a digital version of the fiat currency.

Published by: Preet Lodha JainResearch Area: Economics

Organisation: Prabhavati Padamashi Soni International Junior College, Mumbai, MaharashtraKeywords: CBDCs, Distributed Ledger Technology, Blockchain, Digital Rupee, Intermediaries, Custodians, GDP

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Online paper publication is ongoing for the current issue and authors can submit their paper for this issue until 21st July, 2022.