2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)最新文献_第4页

CLASSIFICATION OF VARIOUS STAGES OF HERNIATED CERVICAL SPINE IMAGES USING EDGE DETECTION OPERATORS 利用边缘检测算子对不同阶段颈椎突出图像进行分类

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00045

C. Malarvizhi, P. Balamurugan

{"title":"CLASSIFICATION OF VARIOUS STAGES OF HERNIATED CERVICAL SPINE IMAGES USING EDGE DETECTION OPERATORS","authors":"C. Malarvizhi, P. Balamurugan","doi":"10.1109/ICCMSO58359.2022.00045","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00045","url":null,"abstract":"A herniated disc is a state that can happen anywhere along the spine, but utmost in the lower back and neck. Cervical discs are the cushionsthat can link the vertebrae in the upper back and neck. When the gelatinous inner disc material, the nucleus pulposus ruptures or herniates through the outer cervical disc wall it can lead to herniation. Some herniated disc causes no symptoms but other disc related problems can irritate nearby nerves and result in pain, numbness or weakness in an arm or leg. In this work, cervical spine abnormal (herniated) Magnetic Resonance Images (MRI) are taken for classification. Generally, there are four stages of herniation in cervicalspine named as disc degeneration, disc prolapse, disc extrusion and disc sequestration. These herniated cervical spine images are transformed into herniated canny images, because canny edge detection algorithm is better to provide high image quality and allows removing of any noise in an image. Artificial Neural Network classifier is used for classifying the different stages of images. It follows the supervised learning method, and is the process of learning to separate samples into different classes by finding common features between samples of known classes. In this paper, various stages of herniated canny images are processed with different level of combinations of texture features are analyzed. Classification is done on different stages of herniated cervical spine images. This classification is used in different variants and utilizes it with suitable algorithm to improve its performance.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130481599","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

Exploring the links between Sustainability and Renewable Energy Supply Chain (RESC): A Bibliometric Analysis 探讨可持续性与可再生能源供应链(RESC)之间的联系:文献计量分析

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00054

Ankita Singh, R. Kaushal, D. Garg

{"title":"Exploring the links between Sustainability and Renewable Energy Supply Chain (RESC): A Bibliometric Analysis","authors":"Ankita Singh, R. Kaushal, D. Garg","doi":"10.1109/ICCMSO58359.2022.00054","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00054","url":null,"abstract":"Sustainability has become an essential part of renewable energy in modern day world. This study reviews the sustainability of renewable energy supply chain literature over past decade as the relationship between renewable energies and supply chain performance has been a critical topic of research by practitioners, academics and organizations. The aim of the paper is to provide the comprehensive bibliometric analysis for better understanding in the field of supply chain performance and sustainability of renewable energies. This work provides an insight into the studies related to sustainability of RESC. A bibliometric approach starts with identification of 474 articles of the relevant field from Scopus database. The goal of this research is: 1) to identify most productive nations; 2) the volume of documents published and cited according to each year of last decade; 3) the most productive journals; and 4) the most productive authors. VOS viewer software and MS excel are the software's used for analysis. This analysis seeks to provide an understanding of the research progression as well as a prediction of potential future scenarios and sector stakeholder participation. The results offer a potential road map for researchers.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121679871","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

A Study on Detection of Emotions with The Help of Convolutional Neural Network 基于卷积神经网络的情绪检测研究

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00073

Deepak Raj, Md. Abdul Wassay, K. Verma

{"title":"A Study on Detection of Emotions with The Help of Convolutional Neural Network","authors":"Deepak Raj, Md. Abdul Wassay, K. Verma","doi":"10.1109/ICCMSO58359.2022.00073","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00073","url":null,"abstract":"Facial Expression is a mean which can be employed to find out what is running in the mind of the person whom we talk. It is always an easy task for humans to derive some insights from the expressions. But it is a complicated task for machine to derive it by using Computer Algorithms. But recent developments in the field of Computer Vision and Machine Learning has enhanced the availability of resources so that it become possible to derive certain conclusions from the input we are giving to particular Machine. This paper is planning to propose an approach to find out what emotional stage the particular person is running which is termed as Facial Emotion Recognition using Convolutional Neural Network (FERC). The FERC constitutes two parts: The first part of this Convolutional Neural Network is used to remove background from an image and second part is used to extract features from facial expressions. It consist of a database of around 10,000 image. The final layer which is a perceptron which works in series with two layer Convolutional Neural Network. The Perceptron is used to adjust weights and exponent values after going through each iteration. Again a background removal is applied just before generation of Emotional Vector. This will help us to avoid from multiple problems which can occur. Using Two stage CNN model we found out accuracy near about 84.92 percentage which is a better value based on insights from 24 values. The Two Layer CNN works in series where remaining layer is used to adjust weights after each iteration. FERC follows an exactlynewapproach compared to Single stage CNN and thus enhancing the accuracy. Further it uses a novel background elimination procedure compared to technology of EV earlier existed which could avoid coping with coping with more than one troubles that may occur. FERC is employed with about more than 28K pictures by using FER2013 dataset. We can make use of FERC in many cases including predictive learning, Lie detection… etc.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123315252","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

Seasonal Sale Prediction In Python Python中的季节性销售预测

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00047

Piyush, S. Singla, Indu Sharma, Md. Abdul Wassay

{"title":"Seasonal Sale Prediction In Python","authors":"Piyush, S. Singla, Indu Sharma, Md. Abdul Wassay","doi":"10.1109/ICCMSO58359.2022.00047","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00047","url":null,"abstract":"Foretelling a sale may be a crucial space within the food trade, and associate degreed new technologies have greatly redoubled its quality in an endeavour to boost market operations and productivity. The industry has historically cantered on an ancestral applied math model however in recent years, ML approaches have received additional attention. This document can facilitate spotting the crucial options that influence the deal and furthermore an appraisal is conducted to seek out the most effective appropriate rule for deal prognosticate. In this work, ML mechanisms/methods equivalent to SLR, GAR, SVR, and RFR were considered and expected to conduct well on these problems. Associate degree exams are conducted to examine the effectiveness of the rules. Theorems equivalent to SLR, GBR, SVR, and RFR are generally known to out conduct alternative mechanisms/methods. This clearly shows that RFR is the most accepted mechanism/method compared to other mechanisms/methods. The random forest regression mechanism/method was conducted well after all studies were compared with other mechanisms/methods. therefore, the RFR is taken into account as the most effective and appropriate mechanism/method for foretelling product deals.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128613082","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

Missing Data Analysis in Traffic Monitoring System Using LSTM 基于LSTM的交通监控系统缺失数据分析

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00015

Rishabh Jain, Sunita Dhingra, Kamaldeep Joshi

引用次数: 0

Age Based News Classification using LSTM and BERT 基于年龄的LSTM和BERT新闻分类

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00014

Tahiya Ahmed Chowdhury, Nusrat Jahan Tonoya, Takia Maliha, Parsia Akter, Md. Shahriar Mahbub

引用次数: 0

Practicing Topology Optimization Workflow for Structural Simulation and Customized Splint Fabrication 结构仿真和定制夹板制造的拓扑优化工作流程实践

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00029

Ashwani Kumar, Deepak Chhabra

{"title":"Practicing Topology Optimization Workflow for Structural Simulation and Customized Splint Fabrication","authors":"Ashwani Kumar, Deepak Chhabra","doi":"10.1109/ICCMSO58359.2022.00029","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00029","url":null,"abstract":"Topology optimization tolls are becoming effectively more useful across a variety of designing and manufacturing sectors, due to their capability to produce performance oriented lightweight configurations. Especially when the target is to deal with the complex user specific diaphanous products, the integrity of additive manufacturing with such design optimization techniques introduces the practicality in the application. This paper focuses on how the structural simulation in the early design phases can make a splint more comfortable for the user, without compromising its strengthening properties. A custom finger-splint has been designed using 3D scans, processed under structural simulation followed by topology optimization and validation and then fabricated from additive manufacturing using PLA (Polylactic acid). The optimization results show a considerable weight reduction (3.524 gm for 60% retained mass) of 30.52 % from the un-optimized one (5.072 gm for 100% retained mass). Also, removing access material can assure the ventilation ease to the limb and provide the user with sweat-free comfort.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116841166","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

Integration of Net Promoter Score and DMAIC Approach to Measure Customer Satisfaction in Packaging Industry 包装行业顾客满意度评价的净推荐值与DMAIC方法整合

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00052

Filscha Nurprihatin, Nur Rizka Mardhatillah, M. N. Young, S. D. Liman, A. P. Redi, Y. Prasetyo

{"title":"Integration of Net Promoter Score and DMAIC Approach to Measure Customer Satisfaction in Packaging Industry","authors":"Filscha Nurprihatin, Nur Rizka Mardhatillah, M. N. Young, S. D. Liman, A. P. Redi, Y. Prasetyo","doi":"10.1109/ICCMSO58359.2022.00052","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00052","url":null,"abstract":"Six Sigma is a strategy for increasing customer satisfaction by minimizing variety and, as a result, producing better, faster, and affordable products and services. In support of this report, there are 20 sources from 2016–2021 on DMAIC and Net Promoter Score. The DMAIC methodology is one of the Six Sigma methods that focuses on improving existing quality. Customer satisfaction is one of the company's most important characteristics. has previously attracted the attention of various research. Customer satisfaction depends on the research and analysis of customer complaints because it results in customer dissatisfaction and possible loss of business. The structured methodology of DMAIC and Net Promoter Score is applied to increase the satisfaction level of the packaging company's customers. The NPS Score indicates a positive shift in customer satisfaction because it is 17.2 points higher than the average NPS score in the packaging industry. The company is improved significantly, yet there are still areas where the company must improve.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125006382","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

Bayesian Estimators of Dynamic Cumulative Residual Entropy for Pareto Type II Distribution using Asymmetric Loss Function 基于非对称损失函数的Pareto II型分布动态累积残差熵贝叶斯估计

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00055

Savita, Rajeev Kumar

引用次数: 0

Effect of Twisted Tape on The Performance of Solar Collector 扭曲胶带对太阳能集热器性能的影响

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00081

S. Dhingra, Kovács András, Rohit Khargotra, Navdeep Singh

引用次数: 0