PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021最新文献

英文中文

Area efficient multiplier using NANO CMOS logic style 面积高效乘法器采用纳米CMOS逻辑风格

PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021

Pub Date : 1900-01-01 DOI: 10.1063/5.0068616

S. Sasikala, S. Gomathi, M. Chitra, S. Nandhini

引用次数: 1

Investigation on deep learning for handwritten English character recognition 基于深度学习的手写体英文字符识别研究

PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021

Pub Date : 1900-01-01 DOI: 10.1063/5.0068646

R. Mohana, K. Kousalya, N. Sasipriyaa, B. Krishnakumar, S. Gayathri

引用次数: 3

Food safety and quality assurance along a value chain-perspectives towards developing country 价值链上的食品安全和质量保证——面向发展中国家的视角

PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021

Pub Date : 1900-01-01 DOI: 10.1063/5.0070584

R. Dhivya, P. Karthikeyan, P. Karthika

引用次数: 0

Studies on the formulation of cake using green banana flour 青香蕉粉蛋糕配方的研究

PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021

Pub Date : 1900-01-01 DOI: 10.1063/5.0070452

N. Bharathi, P. Dasgupta, C. Venkatachalam

引用次数: 1

Forecasting the spread of COVID-19 using supervised machine learning models 使用监督机器学习模型预测COVID-19的传播

PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021

Pub Date : 1900-01-01 DOI: 10.1063/5.0070366

G. Kamalam, K. Lalitha, E. Priyadarshini, V. Janani, P. M. Sasidhar

Coronavirus disease of 2019 (COVID-19) has become widespread within few months and it has lead to a dramatic loss for human life worldwide. This pandemic impacts tens of millions of deaths each day and the number of people were dead by covid-19 is gradually increasing throughout the globe. During this pandemic situation control, we tend to propose a future prediction using Machine Learning algorithms on the death rate, the number of recovered estimates and the number of daily confirmed COVID-19 cases reported within the next ten days. It is based on Machine Learning technique. This forecasting method will predict the upcoming number of COVID-19 cases. Here we use four standard models for forecasting includes linear Regression (LR), The Lowest Absolute and Selective Shrinking Operator (LASSO), Vector Assistance (SVM) and exponential smoothing (ES) will predict the number of COVID-19 cases in future. These four models make three predictions: the mortality rates, the number of newly affected COVID-19 cases and the cummulative number of recovered cases in the next 10 days. These methods are better used in the COVID-19 situation. Based upon the findings, it is a encouraging method to use these standard models in the current situation of COVID-19 spread. The analysis shows that among all the standard forecasting models, ES model performs best, then LR and LASSO which also performs well in predicting the new infected cases of corona, death rate and recovery cases. Whereas the results of SVM were very bad in all the prediction scenarios from the given covid-19 data set. The predictions made by these models relating to the current situation are accurate and will also be useful for future awareness of the future situation. This paper will be enhanced continuously and next we are planning to traverse the prediction methodology using the updated covid-19 data set and we will make use of the most precise and best Machine Learning models for forecasting in future. © 2021 American Institute of Physics Inc.. All rights reserved.

2019年冠状病毒病(COVID-19)在几个月内广泛传播，并在世界范围内造成了巨大的生命损失。这场大流行每天影响数千万人的死亡，全球死于covid-19的人数正在逐渐增加。在疫情控制期间，我们倾向于使用机器学习算法对未来10天内的死亡率、恢复估计数和每日报告的COVID-19确诊病例数提出未来预测。它是基于机器学习技术。这种预测方法可以预测未来的新冠肺炎病例数。本文采用线性回归(LR)、最低绝对和选择性收缩算子(LASSO)、向量辅助(SVM)和指数平滑(ES)四种标准模型预测未来的COVID-19病例数。这四个模型分别预测了未来10天的死亡率、新发病例数和累计治愈病例数。这些方法在2019冠状病毒病疫情中更适用。基于这些发现，在当前COVID-19传播情况下使用这些标准模型是一种令人鼓舞的方法。分析表明，在所有标准预测模型中，ES模型的预测效果最好，其次是LR和LASSO模型，后者对冠状病毒新发感染病例、死亡率和康复病例的预测效果也较好。而SVM在给定的covid-19数据集的所有预测情景下的结果都很差。这些模型对当前形势作出的预测是准确的，对未来形势的认识也很有用。本文将不断加强，接下来我们计划使用更新的covid-19数据集遍历预测方法，我们将在未来使用最精确和最好的机器学习模型进行预测。©2021美国物理学会。版权所有。

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引用次数: 3

Covid-19 pandemic: Share price volatility behaviour of selected food processing companies in NSE Covid-19大流行:NSE选定食品加工公司的股价波动行为

PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021

Pub Date : 1900-01-01 DOI: 10.1063/5.0068593

Monika N., P. Priya, P. Sundharesalingam, M. Mohanasundari

The Indian financial market and global markets experienced volatility due to pandemic. Estimations of volatility helps to measure the performance of the share price of the company. This paper studies about the impact of pandemic on the food processing companies listed in NSE. The objective of the paper is to examine the level of volatility prevailing in the selected food processing companies share returns. The daily returns of the companies are collected from January 1, 2019 to November 27, 2020.the returns of the selected period is considered for this purpose. GARCH model is used to capture the volatility of the returns. Findings reveal that the high volatility is experienced during the Covid period observations. While comparing the returns of the stock, the returns are positive during the Covid period than the Pre-Covid period. Thus reflecting the bounce back from the unprecedented Covid shocks in the market. © 2021 American Institute of Physics Inc.. All rights reserved.

受疫情影响，印度金融市场和全球市场出现波动。对波动率的估计有助于衡量公司股价的表现。本文研究了疫情对在印度证交所上市的食品加工企业的影响。本文的目的是检查在选定的食品加工公司股票回报普遍波动的水平。公司的日报表收集日期为2019年1月1日至2020年11月27日。为此目的考虑所选期间的收益。GARCH模型用于捕捉收益的波动性。研究结果表明，在新冠肺炎期间的观察中，经历了高波动性。在比较股票的回报时，新冠肺炎期间的回报比新冠肺炎前的回报为正。这反映了市场从前所未有的新冠疫情冲击中反弹的趋势。©2021美国物理学会。版权所有。

引用次数: 0

Performance enhancement and reduction of exhaust emissions in catalytic converter using the metallic oxide catalysts 金属氧化物催化剂对催化转化器性能的提高和废气排放的降低

PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021

Pub Date : 1900-01-01 DOI: 10.1063/5.0069085

A. S. Sajitha, N. Bharath, G. L. Megavel, B. Gowtham

引用次数: 0

Remotely piloted aerial system in fire fighting 遥控空中灭火系统

PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021

Pub Date : 1900-01-01 DOI: 10.1063/5.0068767

T. Logeswaran, K. Kamaleeshwaran, V. Karthikeyan, S. Kaviyarasu, T. Prakash

引用次数: 0

A study on influencing factors towards online food delivery services 网络外卖服务的影响因素研究

PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021

Pub Date : 1900-01-01 DOI: 10.1063/5.0068607

M. Mohanasundari, S. Vetrivel, L. Kaviya

引用次数: 0

Effectiveness of implementation of 5S tool in food industry during COVID 19 新冠疫情期间食品行业5S工具实施效果分析

PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021

Pub Date : 1900-01-01 DOI: 10.1063/5.0068589

R. Somasundaram, P. Sundharesalingam, P. Priya, P. Renuka

5S housekeeping is the basics of Lean Manufacturing systems. As a tool for cleansing, sorting, organizing and providing the required basic initial changes for workplace improvement. This paper studies the effectiveness of implementation of 5S methodology in the Angel starch and food Pvt ltd. By following the 5S methodology, it shows important improvements to safety, productivity, efficiency and housekeeping. It also intends to create a stronger work ethic inside the management and staff who would be expected to continue the great practices. To identify the potential level of quality improvement and at the same time will analyse their ability and weakness of every division within the company. Effectiveness of 5S is analysed using before and after implementation in Angel starch and food Pvt ltd using tools. Tools like inventory turnover ratio, labour productivity, process rejection etc… has been used for measurement of daily production, sales, customer return, process rejection, machine breakdown. Result of this research is obtained from comparative measurement of before and after organisational performance. The result shows that 5S is a effective tool for improvement of organisation performance. © 2021 American Institute of Physics Inc.. All rights reserved.

5S内务管理是精益生产系统的基础。作为清洁，分类，组织和提供工作场所改进所需的基本初始变化的工具。本文对安吉尔淀粉食品有限公司实施5S方法论的有效性进行了研究。通过遵循5S方法，它显示出在安全、生产力、效率和内务管理方面的重要改进。它还打算在管理层和员工中建立更强的职业道德，他们将被期望继续这种伟大的做法。确定潜在的质量改进水平，同时分析公司内每个部门的能力和弱点。运用工具分析了安吉尔淀粉和食品有限公司实施5S前后的有效性。诸如库存周转率、劳动生产率、工艺拒绝率等工具已被用于衡量日常生产、销售、客户退货、工艺拒绝率、机器故障。本研究的结果是通过对组织绩效前后的比较测量得出的。结果表明，5S是提高组织绩效的有效工具。©2021美国物理学会。版权所有。

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引用次数: 3

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