2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)最新文献

Conference Committee Members 会议委员会成员

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-12-10 DOI: 10.1109/oceanskobe.2008.4530876

Patrons IN-CHIEF, Ashok K. Chauhan, A. Chauhan, M. Kaur, Tarlochan S Sidhu, V. Balas, A. Vlaicu, Wafaa Abd Elmoneim Ghonaim, Omar Mohamed Mohyeldin, S. Almulla

引用次数: 0

How Execution of Strategy Prevented Indian Bank in DIFC to Fight Effects of COVID 2019 战略的执行如何阻止印度银行在DIFC应对2019年新冠疫情的影响

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410743

Ritwik Kumar, Ashok Chopra

引用次数: 0

Study of Expert System for Integrated Cupping and Punching Operation 拔罐冲孔一体化作业专家系统研究

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410760

H. Hussein, V. Naranje, W. Abdelzaher, Abdelaziz M. A. Ramadan

{"title":"Study of Expert System for Integrated Cupping and Punching Operation","authors":"H. Hussein, V. Naranje, W. Abdelzaher, Abdelaziz M. A. Ramadan","doi":"10.1109/ICCIKE51210.2021.9410760","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410760","url":null,"abstract":"Combination dies are used for production of sheet metal parts having two or more operations (one of them at least in 3 dimensions) in a single station. There are many sheet metal combination parts applications facing the die designer. This kind of die design considers one of the most complicated designs in the tool room. There are many classifications of sheet metal parts can be arranged under the combination die, one of them is the cupping and punching dies. In this paper, a classification of cupping and punching die types into groups and computer aided design for parametric design of combination dies are discussed. The CAD system is developed using knowledge-based system technique of artificial intelligence. The system is capable to design cupping and punching combination dies for production of sheet metal parts. The system is coded in Visual Basic application of Excel and interfaced with SolidWorks software. For each cupping and punching part shape, there is an appropriate die design shape. The system designs the part shape parametrically, storing the part dimension into database, and then design the related appropriate combination die design. The program provided with a knowledge base rule to categorize the limits for the sheet metal parts with the appropriate die design shape. The low cost of the proposed system will help die designers of small and medium scale sheet metal industries for design of combination dies for similar type of products. The proposed system is capable to reduce design time and efforts of die designers for design of combination dies.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"14 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":"123737726","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

Post Covid-19: Possible Impacts on Resiliency, & Degree of Risk in Food Supply Chain 后Covid-19:对食品供应链弹性和风险程度的可能影响

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410739

Ganesan Subramanian, Ramiz Umar Khanani, Shrima Pandey

{"title":"Post Covid-19: Possible Impacts on Resiliency, & Degree of Risk in Food Supply Chain","authors":"Ganesan Subramanian, Ramiz Umar Khanani, Shrima Pandey","doi":"10.1109/ICCIKE51210.2021.9410739","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410739","url":null,"abstract":"SARS-CoV-2 better kenned as coronavirus or Covid-19 has been declared ecumenical pandemic by World Health Organization (WHO) affecting 213 countries and territories around the world and 2 international conveyances. So, far the virus has claimed 54,400 lives and has infected more than 11.8 million across the globe. The pandemic has negatively impacted businesses irrespective of their sizes or industry. In order to control the virus, lockdowns have been implemented in many of the countries across the globe. The extent of the implement for every country is directly proportional to the number of tests done and cases reported. Due to the lockdown, there have been peregrinate restrictions both domestic and international. Enforcing the organizations to work remotely but few organizations and industries like pabulum industry (in context to field work in aliment supply chain) are struggling to work remotely due to the nature of their business. Victuals supply chain resiliency is highly affected by and vulnerably susceptible due to Covid-19. It is highly critical and paramount for the ministries, regimes, and the entire aliment industry to identify and evaluate post Covid-19 possible impacts on resiliency and factors and, the degree of jeopardies in the pabulum supply chain. The paper discusses the possible type of impacts visually examined post Covid-19 (short-term, mid-term or long-term) for each of the performance criteria (quantifying the designators). The degree of jeopardy is evaluated for post Covid-19 in contrast to pre-Covid-19.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"92 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":"117330594","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

University Admissions Predictor Using Logistic Regression 运用逻辑回归预测大学录取

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410717

Haseeba Fathiya, L. Sadath

引用次数: 0

Disruptive technologies in energy and environment 能源和环境领域的颠覆性技术

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410785

Aisha Joshna Sherule, R. Dudhe

引用次数: 2

Relating OCEAN (Big Five) to Job Satisfaction in Aviation 大洋(五大)与航空业工作满意度的关系

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410720

Dzhumana Mansour, A. Bhardwaj, Ashok Chopra

{"title":"Relating OCEAN (Big Five) to Job Satisfaction in Aviation","authors":"Dzhumana Mansour, A. Bhardwaj, Ashok Chopra","doi":"10.1109/ICCIKE51210.2021.9410720","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410720","url":null,"abstract":"this paper examines the relationships between job satisfaction and selected personality traits. The main task of this study is to emphasize the role of personality traits in the employee’s job satisfaction and to study the impact of personality traits such as neuroticism, extraversion and psychoticism on job satisfaction. The variables include big five personality traits and job satisfaction. The main focus of this work reveals that there is no substantial link within the following big five factors and the job satisfaction. The above-mentioned factors would importantly impact on job satisfaction. The examination of linkage between factors like neuroticism, extraversion, psychoticism and job satisfaction was carried out using the correlation analyzing. This study was conducted to collect the main data using the purposive sampling method. The distinctive feature of this study is the collection, processing and analysis of consolidated information from personal questionnaires depending on the type of professional activity of the sixty employees in aviation industry. Two questionnaires i.e. Eysenck Personality Questionnaire-revised (EPQ-R) and Job Satisfaction Survey were used to make an assessment of the impact of personality traits on the overall level of job satisfaction. The future impact of this study can support to increase the productivity level of the employees and also, spread awareness about the positive impact of extraverted personality traits on the job satisfaction.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"75 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":"125492331","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

Human Gait Analysis Using Machine Learning: A Review 基于机器学习的人类步态分析综述

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410678

Sk Md Alfayeed, B. Saini

引用次数: 7

An approach for predicting heart failure rate using IBM Auto AI Service 使用IBM Auto AI Service预测心力衰竭率的方法

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410783

K. G, S. T, Vijipriya G, Nirmala Madian

{"title":"An approach for predicting heart failure rate using IBM Auto AI Service","authors":"K. G, S. T, Vijipriya G, Nirmala Madian","doi":"10.1109/ICCIKE51210.2021.9410783","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410783","url":null,"abstract":"Heart failure is a common event caused by Cardiovascular diseases which causes major death count and several diagnosis methods were also involved. But still the failure rate prediction is lacking because of medical examination as well as tools used. This paper explores the meticulousness of a machine learning and artificial intelligence based automatic prediction model, which is built by IBM services for heart failure rate prediction where the dataset is trained and a model is built. The auto AI instance is created in the IBM Watson Studio and machine learning services are linked with it. The auto AI service determines the best algorithm as the Gradient Boost algorithm for the given dataset here and automatically classifies it as a binary classification problem with values as Y/N for heart failure. Several algorithms can be chosen and deployed. The NodeRED service is used to deploy the model as a final application. The accuracy along with precision and recall measures and metrics were chosen automatically by the system as best ones. The infographics of the results determines that several other algorithms can also be merged and executed one. Also it is evident from the results, that with a minimum span of time, the application is automatically modeled and deployed for the major threatening disease.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"1 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":"132627350","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

Developing a Reinforcement Learning model for energy management of microgrids in Python 在Python中开发用于微电网能源管理的强化学习模型

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410754

M. K. Perera, K. Hemapala, W. Wijayapala

{"title":"Developing a Reinforcement Learning model for energy management of microgrids in Python","authors":"M. K. Perera, K. Hemapala, W. Wijayapala","doi":"10.1109/ICCIKE51210.2021.9410754","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410754","url":null,"abstract":"Microgrids provide integrating platforms for distributed generating sources. Therefore, continuous controlling and monitoring of the microgrids are essential to balance power fluctuations, intermittency, etc. that are introduced by renewable generation sources. Agent-based distributed control systems have been introduced for microgrid control. As a novel approach learning ability is introduced to the agents in the system with the integration of reinforcement learning with power systems. This paper highlights how to determine the applicability of reinforcement learning for certain optimization problems together with problem mapping to the general reinforcement learning model. The goal of the application of reinforcement learning is to minimize the dependency of the microgrid on main grid while ensuring the maximum utilization of renewable energy generation. This energy management model is simulated using environment and agent class modelling using python programming. In addition to that, an artificial neural network is proposed for renewable generation forecasting to feed to the Q learning algorithm.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"161 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":"132697110","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