2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)最新文献_第7页

Comparison of Lattice Boltzmann and Finite Volume method for flow past sphere 流过球的点阵玻尔兹曼法与有限体积法之比较

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410800

N. P. Manelil, K. S. Siddharth, S. Tiwari

{"title":"Comparison of Lattice Boltzmann and Finite Volume method for flow past sphere","authors":"N. P. Manelil, K. S. Siddharth, S. Tiwari","doi":"10.1109/ICCIKE51210.2021.9410800","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410800","url":null,"abstract":"Three dimensional computations have been carried out using Lattice Boltzmann Method (LBM) and Finite Volume Method (FVM) for the case of flow past a stationary sphere. The Reynolds number of the mean flow have been varied from 50 to 300 during which flow transitions from steady state to unsteady state. The LBM simulations were carried out using the open source solver Palabos developed in the University of Geneva while the FVM computations were performed using the commercial solver ANSYS Fluent 17.2. Qualitative results like streamlines and three dimensional vortex structures in the wake of the sphere, obtained from the two different techniques have been compared alongside results reported in literature. Quantitative results such as, variation of velocity in the sphere wake and length of wake bubble have also been compared. The present study also tabulates the computational time required to complete the flow simulation for the both the solvers while utilizing the same computational resource. The results from the present study highlights the advantages of LBM solver for simulation of unsteady three dimensional flow but also indicate that FVM technique has definitive benefits when it comes to steady flows.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122696894","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}

引用次数: 0

Comparative Analysis of Market Basket Analysis through Data Mining Techniques 基于数据挖掘技术的市场购物篮分析的比较分析

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410737

Shish Kumar Dubey, Sonu Mittal, Seema Chattani, V. Shukla

引用次数: 1

How Ready the GEN-Z is to Adopt FinTech ? z世代准备好接受金融科技了吗?

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410747

Inaaya Asif Memon, Swapna Nair, Mukund Jakhiya

{"title":"How Ready the GEN-Z is to Adopt FinTech ?","authors":"Inaaya Asif Memon, Swapna Nair, Mukund Jakhiya","doi":"10.1109/ICCIKE51210.2021.9410747","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410747","url":null,"abstract":"In this paper we shall discuss about the need of marketing for the emerging trend FinTech. Emerging trends like Bitcoin, Big Data, FinTech, Blockchain require a lot of marketing related activities to increase the awareness about the same among the customers. We shall also shed light on how ready the GEN-Z is to be the new users of FinTech. We will also compare the existing users, i.e., the millennials with the GEN-Z. For conducting the analysis, we have considered a random sample of size 84 with age group 18-24 and above 24 which was collected through questionnaire. Although the ages of GEN-Z in the current year range from 12 years to 24 years, we chose to collect data from respondents who are officially adults i.e., 18 years. We applied certain statistical test using R program (4.02) to understand the pattern and relationship of the above age groups on their understanding about financial technologies and related aspects like the possibility of using, trusting, and investing in the FinTech services. The results derived from the statistical analysis confirmed the assumptions and thus concluded that Gen-Z group is uninformed of the latest trends in financial technology. We have found that most of the Gen-Z is unaware about the basic concepts of the FinTech. Because of this lack of awareness and knowledge, most of the Gen-Z do not intended to use the FinTech services nor wish to invest in the FinTech service provider companies.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121717272","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}

引用次数: 4

FaceIgnition: An automatic anti-theft and keyless solution for vehicles FaceIgnition:车辆自动防盗无钥匙解决方案

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410794

Tushar Dang, Vanshita Gupta, D. S. Wadia, Paarth Kohli, Rajanpreet Kaur Chahal

引用次数: 1

Blockchain-Based Information Management for Network Slicing

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410755

Befekadu G. Gebraselase

引用次数: 2

Design and Real Time Implementation of SmartWater Management using LabVIEW and IoT 基于LabVIEW和IoT的智能水管理的设计与实时实现

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410782

Ipseeta Nanda, V. Shukla, Venkata Jitendra Dhanekula, Mounika Gadipudi, Vishnupriya Penugonda, Suman Maloji

{"title":"Design and Real Time Implementation of SmartWater Management using LabVIEW and IoT","authors":"Ipseeta Nanda, V. Shukla, Venkata Jitendra Dhanekula, Mounika Gadipudi, Vishnupriya Penugonda, Suman Maloji","doi":"10.1109/ICCIKE51210.2021.9410782","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410782","url":null,"abstract":"Water is a pivotal resource for all life on earth. If all the water resources on our planet are considered, only 2.5% is fresh. About more than half of this 2.05% is locked up in the form of ice and in glaciers, and of the remaining 1% is present as groundwater and in lakes, rivers. This explains the importance of water in our daily life. There is a threat soon as water will become scarce if used without any concern. People should stop wasting water as much as one can do so that there will not be any water crisis in the coming days. Here comes the word \"Smart-Water Management,\" which combines advanced technologies to manage and reduce water usage and wastage. This project's focus areas are water conservation, water quality testing and analysis, wastewater management, smart irrigation, and smart water analytics. In this project, all the aforementioned modules would be implemented in real-time using physio-chemical sensors to measure chemical and physical parameters such as pressure, temperature, water turbidity, conductivity, flow, pH, and soil moisture. All these sensors are further integrated to NI myRIO, which is connected to LabVIEW software, which does the pre-processing of the information. The information is further sent to IoT cloud-based services like Amazon AWS or Microsoft AZURE, which are used to analyze and communicate the usage statistics and control the management systems.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132055519","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}

引用次数: 3

An Efficient SQL Injection Detection System Using Deep Learning 基于深度学习的高效SQL注入检测系统

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410674

J. R, Saravana Balaji B, Nishant Pandey, Pradyumn Beriwal, Abhinandan Amarajan

{"title":"An Efficient SQL Injection Detection System Using Deep Learning","authors":"J. R, Saravana Balaji B, Nishant Pandey, Pradyumn Beriwal, Abhinandan Amarajan","doi":"10.1109/ICCIKE51210.2021.9410674","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410674","url":null,"abstract":"SQL Injection makes most of the applications that are based on different types of databases be it used in any devices vulnerable to cyber threat. SQL Injection is said to be one of the top most threat that database-based applications on the web. SQL Injection makes all the user‘s information present in the database vulnerable and the user‘s data may be either sold in black market or may be misused. The disadvantages of previously implemented SQLI model is that they will not know how will they be able to categorize new patterns, they will only be able to detect the patterns which they have experienced before or trained on, But our model will be able to identify whether the data entered is SQL injected or not identifying patterns in the input. The advantages to our system will be that it will be able to detect all and every type of Injection techniques. All the feature extraction and selection will be done by the model itself. Just the user should need to enter the text. It is also scalable and can extend it to a wide variety of applications. With the help of MLP model, we have achieved a cross-validated accuracy of 98% with a precision of 98% and recall of 97%.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133822843","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}

引用次数: 11

Influence of Online Meditational Aid on Emotional Health and Job Stress during Pandemic 大流行期间在线冥想援助对情绪健康和工作压力的影响

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410752

S. Java, Badriya Abdul Jaffar, Aradhana Balodi Bhardwaj, Smitha Prabhakar

{"title":"Influence of Online Meditational Aid on Emotional Health and Job Stress during Pandemic","authors":"S. Java, Badriya Abdul Jaffar, Aradhana Balodi Bhardwaj, Smitha Prabhakar","doi":"10.1109/ICCIKE51210.2021.9410752","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410752","url":null,"abstract":"Experts and youths for hundreds of years have practiced the art of mindfulness meditation. A reliable contemplation practice can help quiet your mind and do substantially more for your general wellbeing. Emotional intelligence or EQ is one’s ability to understand and manage emotions appropriately. Research indicates that EQ is a superior indicator of welfare & progress than IQ. Job stress occurs when the prerequisites of the employees do not coordinate with the abilities, assets, or necessities of the individuals. Research suggests that \"thought decrease\" or \"mental quietness\" may have explicit impacts applicable to work pressure and emotional welfare. Much of the population ventured into online mediums to continue their meditation practice due to its ease of accessibility and self-benefits specially during the pandemic. The two main aims of this paper were, 1) To study the difference between the experimental and control group on the dimensions of Emotional Intelligence. 2) To study the difference between the experimental and control group on the dimensions of Work Stress. An empirical- analytical approach was applied through an extensive review of existing literature and two predetermined questionnaires to study the Emotional Intelligence and Work stress level of individuals engaging in online meditation. For this study, an experimental research design was implemented for collection of data. Statistical Analysis through T-test was conducted on the data to understand the difference between two groups. Emotional health and stress are linked in their impact on an individual's well-being, which makes it crucial for future researchers to explore their interaction with mindfulness.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114274273","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}

引用次数: 1

Comparative Intrepretation Of Machine Learning Algorithms In Predicting The Cardiovascular Death Rate For Covid-19 Data 机器学习算法在预测Covid-19数据心血管死亡率中的比较解释

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410777

D. Krithika, Dr. K. Rohini

引用次数: 8

Active Learning for Arabic Text Classification 主动学习阿拉伯语文本分类

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410758

Abdel-Karim Al-Tamimi, Esraa Bani-Isaa, Ahmed Al-Alami

引用次数: 11