{"title":"Performance Analysis of Novel Iris Monitoring System Based on Canny Detection Algorithm in comparison with Prewitt Algorithm","authors":"D. R. D. Varma, R. Priyanka","doi":"10.1109/iciptm54933.2022.9754088","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9754088","url":null,"abstract":"Aim: The objective of the research is to develop the novel iris monitoring system by reducing the noise of the image in the dataset using the canny edge detection techniques in comparison with the prewitt algorithm. Materials and Methods: The total of 30 eye samples were taken to form a dataset. Group 1 represents the canny edge detection algorithm and group 2 represents the prewitt algorithm. The G power calculator was done with 80% of power and alpha of 0.05. Results: Canny algorithm has achieved the significance accuracy of 95.0% when compared to 89.95% of Prewitt algorithm. The Canny algorithm has achieved the significance of ($p < 0.05$) when compared to the prewitt algorithm. Conclusion: In this work it is consolidated that the Canny algorithm has significantly better accuracy when compared with the Prewitt algorithm using Novel Iris Monitoring techniques.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"59 1","pages":"523-527"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84784749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Reethika, J. Sathish, P. Priya, F. D. Shadrach, M. S. Kanivarshini
{"title":"Diabetic Retinopathy Detection Using Statistical Features","authors":"A. Reethika, J. Sathish, P. Priya, F. D. Shadrach, M. S. Kanivarshini","doi":"10.1109/iciptm54933.2022.9753932","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753932","url":null,"abstract":"Diabetic Retinopathy is a medical condition that occurs due to prolonged diabetes, ensuing in harmful to small blood vessels present in the retina, which in later stage leads to complete loss of vision. Moreover, this disease is asymptomatic at its earlier stages and hence, constant screening and precise diagnosis of Diabetic Retinopathy is required. Fundus image analysis proves to be an indispensable tool for the diagnosis of patients. This Paper focuses on using a neural network algorithm aimed to diagnosis of the disease by extracting the key features in the retinal fundus images are lesions, hemorrhages, exudates then the statistical parameters which henceforth help in the classification. This algorithm proves to achieve better accuracy than the traditional unsupervised classification algorithms.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"65 1","pages":"44-48"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82546549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Siddhant Singh Bhadauria, Dharmendra Bisht, T. Poongodi, Suman Avdhesh Yadav
{"title":"Assertive Vision Using Deep Learning and LSTM","authors":"Siddhant Singh Bhadauria, Dharmendra Bisht, T. Poongodi, Suman Avdhesh Yadav","doi":"10.1109/iciptm54933.2022.9754057","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9754057","url":null,"abstract":"Image captioning is an elemental which needs correct understanding of images and also the ability of generating description sentences with proper and proper structure. The captioning of an image must identify the objects within the image, their actions, and their relationships, in addition as any silent features that will be absent from the image. This has been a challenging task within the field of computing throughout the years. Using any tongue sentences to automatically create a picture description may be a difficult issue. This paper explores the numerous picture captioning models that are available. Within the past few years, the matter of generating descriptive sentences automatically for images has garnered a rising interest in tongue processing and computer vision research. The LSTM units are intricate and naturally sequential in nature. Our model can study long-time period visual-language interactions the usage of ancient and information about the future in a high-level semantic domain via combining two different LSTM networks and a deep CNN. We used two publicly available datasets to demonstrate the utility of this strategy: Flickr8k and Flickr30k. Flickers has an API that may be used for image collections. We will use the APIs to search out images and explore for them by tag as an example, you'll search images for common day items/places and buildings like burger, temple, etc. We provide multiple approaches to picture captioning supported deep learning similarly as distinct evaluation strategies during this survey work. Since present deep learning may be a black-box model, it's critical to look at the impact on each module to completely comprehend the model.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"10 1","pages":"761-764"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78976561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gurinder Singh, Garima Bhardwaj, S. V. Singh, Naina Chaudhary
{"title":"Artificial Intelligence led Industry 4.0 Application for Sustainable Development","authors":"Gurinder Singh, Garima Bhardwaj, S. V. Singh, Naina Chaudhary","doi":"10.1109/iciptm54933.2022.9753944","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753944","url":null,"abstract":"In recent times we can observe technological growth in respect of new expansions, innovations, and improvements in every industry. This brings a great movement in this era in the field of military, healthcare, industries, education, or daily households. Technology 4.0 has boomed into the current market with the name of Industry 4.0 which deals with the information change in automation and manufacturing technologies. It includes the concept of IoT, cloud computing, and artificial intelligence for generating smart factories and industries. Industry 4.0 knots the digital and physical progressions together to create these smart industries. It also optimizes and manages the real-time requirements and supply chain management in the factories. It makes a profit to the industries and organizations by quick decision making and its efficiency. The backbone of this technology is Artificial intelligence which gives a substantial contribution to Industry 4.0. AI deals with all the technologies we use in our daily lives. The environment in which we are living has a great impact on AI as all the physical data is associated with digital data. The dynamic nature of AI shows its efficiency in the field of sports, security, the military, industries, production, and many more organizations. Now this combination of Industry4.0 and AI together equips the application with enormous solutions and services. Industry 4.0 is still at its early stage of expansion, implementation, and employment even though it has a significant performance in every domain. In this paper, we have done a study on AI & Industry 4.0 and discussed its challenges, importance, techniques used, and outcomes. Lastly, its effects and benefits and the importance of invention in the area of industries and day-to-day lives have been discussed.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"33 1","pages":"339-343"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82932767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Communication Technologies and Challenges on 6G Networks for the Internet: Internet of Things (IoT) Based Analysis","authors":"Karthik Kumar Vaigandla","doi":"10.1109/iciptm54933.2022.9753990","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753990","url":null,"abstract":"The upcoming sixth-generation (6G) communication system is expected to deal with boundless advances compared to the existing fourth-generation (4G) communication system. The basic challenges in a 6G networking system are low latency, low energy consumption, high capacity, and high quality of experience, massive connectivity, and reliable connectivity. Thus, the 6G network will be able to provide customers a new experience of the digital virtual world with its several-fold improved performances. As sixth generation (6G) wireless communication networks will serve the service and applications via the Internet of Things (IoT), it has the possibility to ensure future intelligence. The purpose of this research article is to investigate the communication technologies and challenges on 6G networks for the internet with the cooperation of Internet of Things(IOT). Depending on a secondary data collection method the researcher has set the collection process of relevant data and information of the mentioned topic. It has helped the researcher to lead the study towards the correct direction. Similarly, the collected resources used qualitative methods to malaise the data to be understandable. Furthermore, this study will help the readers to understand the appropriate effectiveness of the ways to mitigate the challenges in the 6G network system. Implementing a sixth-generation network system can provide different advantages and challenges such as building a network that is suitable for the environment, cost-effective, supported by mobile devices, and connected with AI technology to perform more efficiently. In this paper, challenges in the implementation of the next-generation network system have been discussed and this study examines the solution that can be applied to deal with such challenges.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"1 1","pages":"27-31"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83327099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Systematic Review of Effect Analysis in Community Lattices","authors":"Priyanka, Monica Luthra","doi":"10.1109/iciptm54933.2022.9753923","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753923","url":null,"abstract":"Effect analysis, in addition to this uses of community interaction, is a fundamental tool enabling these usual applications. In the last few years, both industry and academia have paid careful attention to this growing research area. In this new area, researchers confront aplethora of theoretical and practical difficulties that have never been encountered before. As a result, by asking the most recent work in this scope, we want to give a pervasive and trustworthy onset point for those people who have interest in reading. First, we present a supervision of a lattice of community interaction and personal relationship, including its explanation and several kinds. Secondly, we examine the community impact analysis framework, its metrics, evaluation replica, and types of effectincrementinnovations. Thirdly, weprovide a systematic literature review on Effect Analysis in CommunityLattices. Fourth, we will explore numerous research concerns and future prospects in communitylattices. Finally, we bring our investigation to a conclusion. We hope that our study will encourage more and more ambitious academics to delve deeper into the uncharted area of this prospective research topic.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"50 1","pages":"319-324"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85981797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aurelie' Kpoze, Jules Degila, Henoc Soude, S. Wamba
{"title":"Smart Grid Architecture: A Bibliometric Analysis and Future Research Directions","authors":"Aurelie' Kpoze, Jules Degila, Henoc Soude, S. Wamba","doi":"10.1109/iciptm54933.2022.9754210","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9754210","url":null,"abstract":"Smart Grids (SGs) are one of the most critical technological challenges nowadays and have attracted the interest of many researchers. An important research objective is to review the architectures proposed to design a robust research program to address the SG's future challenges. This paper presents a bibliometric study to obtain a structural overview of the Smart Grid architecture. A search for articles dealing with Smart Grid architecture was conducted in the core collection of the Web of Science database, which provides exhaustive citation data for global academic disciplines. As a result, 3993 documents were identified between 2000 and 2022, and the collected data were analyzed using bibliometric tools. The study results are presented and discussed in the following, and recommendations for future research efforts are provided.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"3 1","pages":"441-448"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75893896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of Rainfall Time Series to Identify Predictors for Summer Monsoon Rainfall","authors":"Neela Rayavarapu, Shilpa Hudnurkar","doi":"10.1109/iciptm54933.2022.9753958","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753958","url":null,"abstract":"India receives rainfall due to monsoons. The main contribution of India's total rain comes from the monsoon observed in summer, called the Summer Monsoon Rainfall. The distribution of rainfall across India is significantly variable. Precipitation and its prediction are crucial, especially for states like Maharashtra, which has approximately 70% rainfed land. This paper presents a comparative analysis of two summer monsoon rainfall time series, namely the Marathwada and Maharashtra summer monsoon rainfall series. Continuous Wavelet Transform is used to examine the level of similarity between the two-time sequences, revealing the features of both. Further, both time series are studied for correlations with the main global index, the El Nino Southern Oscillation (ENSO). For the probable identification of seasonal rainfall predictors, the ENSO indices considered here are the Southern Oscillation Index, Multivariate ENSO Index, and Oceanic Nino Index. The effect of warm El Nino phases on these time series is also compared. The study attempts to determine if the prediction model for the Marathwada region can be the same used for the state of Maharashtra or if there is a need to identify a different set of predictors specifically for this region.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"49 1","pages":"805-811"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73836053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ritvik Goel, Dilpreet Kaur Arora, V. Kumar, Mohit Mittal
{"title":"A Machine Learning based Medical Chatbot for detecting diseases","authors":"Ritvik Goel, Dilpreet Kaur Arora, V. Kumar, Mohit Mittal","doi":"10.1109/iciptm54933.2022.9754016","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9754016","url":null,"abstract":"In order to detect diseases in an efficient as well as an easy way, we are proposing a medical chatbot framework. This work investigates about the diseases by simply taking various symptoms related to a particular disease. To accomplish this, we use different datasets related to diseases, we apply various Deep Learning and Machine Learning algorithms and ensemble them together to anticipate about diseases. Machine Learning Techniques can give productive outcome to gather information by building different grouping and outfit models from gathered dataset. Such gathered information can be valuable to anticipate diseases. Different strategies of Machine Learning and Deep Learning are able to do forecast, but it's difficult to pick a best strategy. For this system, we have implemented Natural Language Processing and Artificial Neural Network in order to get the best efficiency.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"23 1","pages":"175-181"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73330516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Enhanced Cloud-Based Healthcare System for Patient Data Privacy and Security Using Hybrid Encryption","authors":"G. P. Kanna, Anish Gupta, Y. Kumar, Nimisha Patel","doi":"10.1109/iciptm54933.2022.9753991","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753991","url":null,"abstract":"The IT sector has taken a keen interest in recent improvements in remote healthcare systems can provide healthcare systems that are both ubiquitous and easily deployable. Cloud computing is the utilization of computer resources as a service delivered through the internet on demand. These systems offer a stage for sharing medical information, data, applications, and underpinning in a fully automated and omnipresent way. Users' confidence in such remote healthcare systems would be enhanced by communication security and patient data privacy. This paper describes a secure mobile healthcare framework based on cloud environment that makes use of wireless area networks. The research effort described here is divided into two categories: first, it tries to protect inter-sensor communication in WANs for body using an approach to key generation based on numerous biometrics and second, the electronic medical reports (EMRs) are securely maintained in the hospital or clinical community cloud, ensuring patient privacy. Because of its very efficient key generation mechanism, the suggested multi-biometric based and Hybrid Security methods provides significant security measures, according to the assessment and analysis.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"27 1","pages":"112-117"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72940034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}