2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)最新文献_第4页

Predicting Service Availability In SOA-Based Systems : Service Dependency Tree (SDT) 预测基于soa的系统中的服务可用性:服务依赖树(SDT)

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768694

Swati Goel, S. Ahamad, Ratneshwer

引用次数: 1

A Novel Application of Neuromarketing for Designing User Interface Mockups to Enhance User Experience in Software Development 神经营销学在用户界面模型设计中的新应用，以增强软件开发中的用户体验

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768683

Ivy Baroi, Suman De

{"title":"A Novel Application of Neuromarketing for Designing User Interface Mockups to Enhance User Experience in Software Development","authors":"Ivy Baroi, Suman De","doi":"10.1109/temsmet53515.2021.9768683","DOIUrl":"https://doi.org/10.1109/temsmet53515.2021.9768683","url":null,"abstract":"Neuromarketing, also known as consumer neuroscience, reveals the subconscious consumer decision-making process. Mockup Development in software engineering leads to the creation of a prototype that is close to being the real implementation and is used for getting feedback on the final implementation. In spite of neuromarketing giving effective marketing results, enterprises restrict the usage of such research in their marketing activities, thus resulting in the under usage of this technique. Mockup creation is a time-consuming process, being complicated for consumers to understand design concepts within a few seconds, thus becoming difficult to design a perfect consumer-preferred website. This paper proposes an idea that helps in designing mockups with the help of neuroscience and leads to a reduction in time consumed by giving the accurate design to build a website. This novel idea focuses upon using neuroscience which gives the exact consumer reaction for mockups that are used as design tools virtually everywhere a new product is designed. The usage of Neuroscience in mockup development leads to the creation of exact and accurate mockups at a much faster rate leading to heavy cost savings for any software development organization.","PeriodicalId":170546,"journal":{"name":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122483284","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

Twitter Sentiment Analysis towards COVID-19 Vaccines: A Case Study in New York City 推特对COVID-19疫苗的情绪分析:以纽约市为例

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768700

Kotcharat Kitchat, Kitti Limjumroonrat, Thattapon Surasak

{"title":"Twitter Sentiment Analysis towards COVID-19 Vaccines: A Case Study in New York City","authors":"Kotcharat Kitchat, Kitti Limjumroonrat, Thattapon Surasak","doi":"10.1109/temsmet53515.2021.9768700","DOIUrl":"https://doi.org/10.1109/temsmet53515.2021.9768700","url":null,"abstract":"According to the World Health Organization report in 2019, the COVID-19 vaccine hesitancy was one of the major threats to global health. Therefore, the study of vaccine-related conversations on social media could help governments or vaccine providers around the world perceive the current public’s outlook and emotion, which heavily contributes to their confidence in the vaccination process. In this paper, we collected the vaccine-related tweets from New York City using the longitude and latitude configuration. The pre-processing technique was applied in order to categorise them into three sentiment types: positive, negative, and neutral. After that, the training and testing dataset were proportionally generated. Different machine learning techniques, which included Logistic Regression (LR), Naive Bayes, Support Vector Machine (SVM), Decision Trees, Random Forest and Multi-Layer Perceptron (MLP), were then utilised on our dataset to obtained the results. The comparison showed that the highest accuracy of 93.63 percent was achieved using MLP, while Naive Bayes produced the lowest accuracy of 82.13 percent. In conclusion, the promising finding of this study suggests that the application of Sentiment Analysis on social media platform can be used to determine the public’s general opinion regarding the COVID-19 vaccines.","PeriodicalId":170546,"journal":{"name":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126809127","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: 2

Utilizing an Integrated Feature Selection Technique in Ovarian Cancer to Solve Classification Problem 利用综合特征选择技术解决卵巢癌分类问题

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768771

Abdullah Al-Murad, Md. Foisal Hossain

{"title":"Utilizing an Integrated Feature Selection Technique in Ovarian Cancer to Solve Classification Problem","authors":"Abdullah Al-Murad, Md. Foisal Hossain","doi":"10.1109/temsmet53515.2021.9768771","DOIUrl":"https://doi.org/10.1109/temsmet53515.2021.9768771","url":null,"abstract":"Ovarian cancer is a famous and extremely deadly disease in the female reproductive organ. The fundamental procedure of enhancing the performances of microarray cancer data classification is feature selection or dimensionality reduction. It also diminishes the complexity of classifiers like misclassification, overfitting, etc. Feature selection is usually more essential when the size of features is comparatively high in the dataset. Constructing and choosing the best feature selection and classification algorithm is usually significant for optimizing ovarian cancer classification problems. In this research, we introduce a structure called the Integrated Feature Selection (IFS) technique. Two integrated feature selection techniques were proposed to solve classification issues these are Evolutionary Non-dominated Radial Slots Based Algorithm (ENORA) combined with Evolutionary Algorithm (EA) and Non-dominated Sorted Genetic Algorithm (NSGA2) combined with Harmony Search Algorithm (HSA). Three different classifiers are utilized as machine learning algorithm which evaluated ENORA-EA and NSGA2-HSA. ENORA-EA and NSGA2-HSA selected 55 and 37 most optimal features. 99.60% higher classification accuracy attained with artificial neural network (ANN) and Linear Discriminant Analysis (LDA) classifiers. For the proposed IFS algorithm’s efficiency justification, experimental outcomes were contrasted with miscellaneous algorithms. Particularly, the experimental results show that the proposed two IFS techniques clearly outperformed the other approaches.","PeriodicalId":170546,"journal":{"name":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128455226","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

Anti-Abduction Device for Women, Children and Elderly 妇女、儿童及老人防拐骗装置

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768706

Arjun Sharma, Chaitanya Kumar A, S. Abhishek, S. Krishnaan, Sanjeeve Raveenthiran, Krishna Prakash, Augusta Sophy Beulet

{"title":"Anti-Abduction Device for Women, Children and Elderly","authors":"Arjun Sharma, Chaitanya Kumar A, S. Abhishek, S. Krishnaan, Sanjeeve Raveenthiran, Krishna Prakash, Augusta Sophy Beulet","doi":"10.1109/temsmet53515.2021.9768706","DOIUrl":"https://doi.org/10.1109/temsmet53515.2021.9768706","url":null,"abstract":"Instances of abduction or kidnapping are highest for young children or senior citizens; they are the most commonly targeted demographic for abduction and kidnapping. It is presumed that young children and senior citizens are less capable of self-defense and are unaware of possible recourse for them to keep themselves safe from such danger, the same is true in case of women who may not possess the physical strength to defend themselves in such situations. The implementation proposed is a simple setup that can ensure safety for the user through the push of a button. In the form of a wearable belt, this device is concealable, inexpensive, water-resistant, resistant to physical impact and also comes with self-charging arrangements that can help sustain device operation. The device may also be extended to help locate lost pets in certain circumstances. Through a physically robust arrangement, this proposal helps improve and more efficiently crackdown on such attempts of abduction.","PeriodicalId":170546,"journal":{"name":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"148 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132477946","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

Speaker Identification in Vehicular Environment using GMM and BiLSTM 基于GMM和BiLSTM的车辆环境下说话人识别

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768718

Indu S, Indu Subramanian, Aishwarya Ponni P, Akilandeshwari R, Kaavya S, V. P

引用次数: 0

Speech Enhancement Using Hybrid Model with Cochleagram Speech Feature 基于耳蜗图语音特征的混合模型语音增强

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768782

S. R. Chiluveru, M. Tripathy

引用次数: 0

IoT Based Control System for Home Automation 基于物联网的家庭自动化控制系统

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768686

A. Abhishek, Megha Bhasker, A. Ponraj

{"title":"IoT Based Control System for Home Automation","authors":"A. Abhishek, Megha Bhasker, A. Ponraj","doi":"10.1109/temsmet53515.2021.9768686","DOIUrl":"https://doi.org/10.1109/temsmet53515.2021.9768686","url":null,"abstract":"We are currently living in the Information Age, an era that’s characterized by rapid changes and huge technological developments. Perhaps, two of the most important breakthroughs in this century have been in the field of Automation and Internet of Things. In today’s world we are surrounded by devices that have the ability to access the internet and communicate with other such devices. In this paper the authors propose a method to couple the power of Automation and the functionality of Internet of Things, to control hardware systems and peripherals through a custom-built web server. The embedded controller used in the proposed system is a Raspberry Pi 3b+. This project aims at making home automation and other related automated tasks simple to build, execute, automate and monitor the usage through the World Wide Web. By using the proposed system, it will help the end user to curb electricity costs, by monitoring and saving the units consumed by the different peripherals in the system, and also have a positive impact on the environment. The framework used for implementing the back-end is a micro framework called Flask. Flask enables the user to build and deploy seamless Python based web applications. To demonstrate the real-time working of the proposed system, the Authors have built a small-scale electrical system which is controlled by the Raspberry Pi through a web-server running in the Local Area Network. The software is also programmed to generate a detailed data sheet containing various data such as running time, the consumption rates of these devices, and finally the units consumed by these devices.","PeriodicalId":170546,"journal":{"name":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128588621","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