2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)最新文献

{"title":"Application of Technology and Innovation in Fintech and it's adaptability in India","authors":"Silky Sharma, S. Srivastav, Anubhuti Gupta, A. Manglick","doi":"10.1109/iciptm54933.2022.9753933","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753933","url":null,"abstract":"India is a growing fintech market with a population of approximately 1.3 billion. The bankless and majority of the bankless population makes India an exciting global space for financial technology. Fintech is seen as a game changer and disruptive innovation that can rock traditional financial markets. Fintech has grown rapidly in India over the last five years and is expected to continue to grow in the near future. This article first focuses on the basic types of financial technology and its capabilities, and also discusses the opportunities and challenges faced in the Indian business environment. This research article basically extends FinTech's quantitative assessment of customer adaptability and qualitative analysis of technical, economic and demographic factors that may lead to FinTech's adaptability in India.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"74 1","pages":"305-311"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80476460","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":"Pancreatic Cancer Detection using Machine and Deep Learning Techniques","authors":"Anish Gupta, Apeksha Koul, Yogesh Kumar","doi":"10.1109/iciptm54933.2022.9754010","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9754010","url":null,"abstract":"Despite substantial research, pancreatic cancer has a terrible prognosis by having a survival rate of five years only. The premise behind early detection and better survival is that more people will benefit from a possible treatment. In general health care, machine and deep learning algorithms have shown to be a viable tool to classify or detect the risk of pancreatic cancer. As a result, in this work, we looked into various researchers' methods for diagnosing pancreatic cancer using machine and deep learning models. In addition, the report highlighted their achievements and the obstacles that remain in this sector. We incorporated our evaluation of the numerous strategies available to make some conclusions.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"1 1","pages":"151-155"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86337243","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":"Load Balancing and Parallel Computation Model for Performance and Accuracy over the Cluster of Nodes","authors":"Vasuda A, K. Srividya, M. Anusha","doi":"10.1109/iciptm54933.2022.9754092","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9754092","url":null,"abstract":"Cloud Computing can be online based network engineering which contributed with a rapid advancement at the progress of communication technological innovation by supplying assistance to clients of assorted conditions with aid from online computing sources. It's terms of hardware and software apps together side software growth testing and platforms applications because tools. Large-scale heterogeneous distributed computing surroundings give the assurance of usage of a huge quantity of computing tools in a comparatively low price. As a way to lessen the software development and setup onto such complicated surroundings, high speed parallel programming languages exist which have to be encouraged by complex operating techniques. There are numerous advantages for consumers in terms of cost and flexibility that come with Cloud computing's anticipated uptake. Building on well-established research in Internet solutions, networks and utility computing, virtualization et cetera Service-Oriented Architectures and the Internet of Services (IoS) have implications for a wide range of technological issues such as parallel computing and load balancing as well as high availability and scalability. Effective load balancing methods are essential to solving these issues. Since such systems' size and complexity make it impossible to concentrate job execution on a few select servers, a parallel distributed solution is required. Adaptive task load model is the name of the method wesuggest in our article for balancing the workload (ATLM). We developed an adaptive parallel distributed computing paradigm as a result of this (ADPM). While still maintaining the model's integrity, ADPM employs a more flexible synchronization approach to cut down on the amount of time synchronous operations use. As well as the ATLM load balancing technique, which solves the straggler issue caused by the performance disparity between nodes, ADPM also applies it to ensure model correctness. The results indicate that combining ADPM and ATLM improves training efficiency without compromising model correctness.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"7 1","pages":"684-689"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89069977","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":"Comparative Analysis of High-Performance Computing Systems and Machine Learning in Enhancing Cyber Infrastructure: A Multiple Regression Analysis Approach","authors":"Fred Torres-Cruz, A. K. Sahu, Ruben Ticona Huayhua, Martinell J. Julio, Merma Bellido, Isaac Ortega Limachi, J. Huanca","doi":"10.1109/iciptm54933.2022.9753839","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753839","url":null,"abstract":"The invention of advanced digital technologies like machine learning, big data and other tools has disrupting the computing landscape in the current decades. The data corporations like Amazon, Google, Microsoft and others are focusing in tapping new opportunities through better information technology infrastructure, support in delivering higher performance for many companies, individuals and government. The traditional method of sing computing technologies to enhance coyer infrastructure is inadequate with the current development of Industry 5.0, hence the companies are implementing radical approach to understand the current and future requirement of the business and create better cyber infrastructure using high performance computing systems and machine learning. The continuous quest in understanding the overall pattern which shift through high quality data set has disrupted technological platform, the combination of machine learning approaches, robotics, high performance computing systems has boosted the overall performance in information technologies and companies are adopting these novel measures to use high computing methods, deep learning techniques and others for enhancing the cyber infrastructure. Since Machine learning (ML) and High-performance Computing (HPC) are continuously evolving, companies can now able to process the data with higher volume, understand the criticality of business operation and reduce the time to take quick action for sustainable development. Hence this study's is involved in understanding the criticality of implementing ML and HPC measures for supporting the cyber infrastructure requirements of organization in an effective manner.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"12 1","pages":"69-73"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78667046","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":"Early Prediction of Neonatal Jaundice using Artificial Intelligence Techniques","authors":"Yogesh Kumar, Nimisha P. Patel, Apeksha Koul, Anish Gupta","doi":"10.1109/iciptm54933.2022.9753884","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753884","url":null,"abstract":"Jaundice in newborns is a prevalent problem all over the world. This syndrome can induce brain damage and kernicterus, which is characterized by repeated and uncontrollable movements, an upward gaze, and hearing loss. As a result, early detection and treatment can prevent long-term harm. As a result, in this study, we have investigated several researchers' strategies for detecting jaundice among newborn babies using various artificial intelligence-based techniques. We have also drawn some findings based on our analysis of the multiple AI techniques. In addition, the report highlighted their accomplishments and the challenges they have faced in this field.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"6 1","pages":"222-226"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76417376","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":"Sign Language Recognition Based on Gesture Recognition/Holistic Features Recognition: A Review of Techniques","authors":"Ojasvi Asthana, Pankaj Bhakuni, Prashansha Srivastava, Satyabrat Singh, Kanika Jindal","doi":"10.1109/iciptm54933.2022.9754140","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9754140","url":null,"abstract":"Sign Language is now a part of important means of communication, covering the domain of deaf-mute communication, controlling robots through pose movements, exoskeleton, medical application, and home automation. There is plenty of research going on gesture recognition methods/techniques (using wearable sensors, computer vision), stacking it with other technologies for automation, and forming a means of communication between deaf/mute/blind individuals. Our paper highlights some of the best techniques that have surfaced in the past years and their limitations. Also, it tabulates the performance of those techniques their drawbacks and how to improve it, the dataset used, background condition. This study offers an in-depth survey of gesture recognition systems with a short discussion on use of sign language translation.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"46 1","pages":"713-718"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88194997","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":"Performance Analysis of Digital Beamforming with Modified ESPRIT-MUSIC Direction of Arrival Estimation Algorithm for Multi Input Multi Output Non Orthogonal Multiple Access System over Rayleigh Fading Channel","authors":"Y. Kumar, R. Yuvaraj","doi":"10.1109/iciptm54933.2022.9753992","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753992","url":null,"abstract":"Aim: The aim of this research is to increase the system's capacity rate of the system using the novel Modified ESPRIT Multi Signal Classification (Modified ESPRIT-MUSIC) algorithm in comparison with Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT). In this paper, a reliable novel Modified ESPRIT Multi Signal Classification (Modified ESPRIT-MUSIC) direction of arrival (DoA) estimation technique employed to reduce interference in a Digital beamforming Multi-Input Multi-Output Non-Orthogonal Multiple Access (MIMO NOMA) system over Rayleigh fading channel. Materials and Methods: The Modified ESPRIT-MUSIC algorithm is implemented in Digital beamforming at lower signal to noise ratio (SNR) levels. The DoA estimation technique is used in the MIMO NOMA system to decrease interference and increase sum rate. The addition of the estimation process with an additional estimation algorithm gives accurate user detection. The performance of this proposed algorithm is compared with the existing ESPRIT algorithm for the same antenna parameters. Group 1 is the ESPRIT algorithm, and Group 2 is the Modified ESPRIT-MUSIC algorithm. The sample size for each group is 20. The total sample size is 40. The pretest power simulation is 80% with a significance of 0.15. Results: The performance analysis of the proposed system is calculated in terms of capacity vs SNR. The increase in capacity of the proposed system by accurate user detection through beamforming is possible because of the combined ESPRIT-MUSIC algorithm. The mean capacity value for the proposed novel system is 13 bps/Hz at 10 dB and 26 bps/Hz at 20 dB SNR, and the mean capacity value for ESPRIT algorithm is 12 bps/Hz at 10 dB and 23 bps/Hz at 20 dB SNR. Conclusion: From the simulation results and independent sample tests, the novel Modified-ESPRIT MUSIC algorithm detects signals significantly better than the ESPRIT algorithm and increases the system's capacity.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"27 1","pages":"542-548"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88556908","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":"Analyzing Consequences of Artificial Intelligence on Jobs using Topic Modeling and Keyword Extraction","authors":"Loveleen Gaur, N. Jhanjhi, Sumedha Bakshi, Pranshi Gupta","doi":"10.1109/iciptm54933.2022.9754064","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9754064","url":null,"abstract":"Many are awestruck by the changes brought by Artificial Intelligence (AI). The ubiquitous technology has created its place in the job market and is here to stay for years to come. However, the impact of AI on various job sectors is susceptible. While most have welcomed this technology, many are concerned about the effects of AI. AI has led prominent businesses to become more efficient with a lesser workforce. This study aims to analyze and understand the effects of automation on different job tasks and therefore conclude the impact of artificial intelligence on various jobs. The web-based textual analysis techniques are opted to conduct the study. Methodologies like topic modeling and content analysis have been implemented for thorough comprehension.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"18 1","pages":"435-440"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77193241","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 Blockchain-based Framework for IoT based Secure Identity Management","authors":"Shipra Varshney, Prashant Vats, S. Choudhary, Deepti Singh","doi":"10.1109/iciptm54933.2022.9753887","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753887","url":null,"abstract":"Blockchain science's distributed system structure makes it an ideal option for addressing device-to-device transmission data breaches. This paper investigates the potential use of blockchain systems to enhance Information security issues in the context of the 5G Mobile communication infrastructure. Relying on blockchains, we offer a multi-layer protection network architecture for IoT networks. By splitting the IOT based platform infrastructure into a multi-layer decentralized system, the suggested approach overcomes the issues connected with the real establishment of distributed ledger technology. We split the infrastructure into K-based clusters in the conceptual scheme by utilizing Evolutionary - based methods such as Evolutionary Computation and Particle-based Swarm intelligence evaluation. Every Cluster Members selects a unique access control for identification and authorization purposes inside every cluster group head (CGH). The distributed ledgers technology's strong security and trustworthiness guarantee offers an authentication system for CGHs communicating with one another and Ground Stations via a localized blockchain application with no need for a centralized controller. In addition, we suggest a worldwide blockchain deployment for base stations communications. Furthermore, to validate the proposed methodology, we use the free software blockchain application Hyper ledger Cloud hosting Network.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"36 1","pages":"227-234"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75174485","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":"Design of Novel Rectangular Patch Microstrip Antenna for Ku Band Applications and Comparison of Gain with Circular Patch Antenna","authors":"S. A. Hafeez, M. Sathesh","doi":"10.1109/iciptm54933.2022.9754155","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9754155","url":null,"abstract":"The aim of this work is to design a Novel rectangle shaped microstrip patch antenna with air gap technique in Ku band frequency and comparison with circular patch antenna with gain as parameter. Materials and methods: A total number of 20 samples has been taken by varying frequency. In this design, Epoxy FR4 (relative permittivity 4.4) is used as a substrate material and perfect E material for patch and ground. Since obtained significant value with G power calculation is 80%. Results: Antenna is resonating at a freq of 15.6 GHz with a gain of 4.42 decibels. This antenna has been analyzed and designed for its performance with aid of Ansoft HFSS version 15.0 software. Simulated result shows the significance value is 0.04 ($mathrm{p} < 0.05$). Conclusion: Based on the analysis, the designed antenna has a higher gain compared to circular patch antenna.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"83 1","pages":"594-599"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79794592","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}