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 Sharma
Author: Reena Devi
Paper ID: V8I5-1160
Paper Status: published
Published: September 21, 2022
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 Shah
Author: Devansh Jain
Paper ID: V8I5-1153
Paper Status: published
Published: September 20, 2022
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 Khandelwal
Author: Miit Virani
Paper ID: V8I5-1157
Paper Status: published
Published: September 20, 2022
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 Anchan
Author: Aryan Smith
Paper ID: V8I5-1151
Paper Status: published
Published: September 19, 2022
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 Vaswani
Author: Gaurika Vaswani
Paper ID: V8I5-1148
Paper Status: published
Published: September 16, 2022
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 Saigal
Author: Sanjana Saigal
Paper ID: V8I5-1142
Paper Status: published
Published: September 16, 2022
