2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence)最新文献_第7页

An empirical analysis of code smells using CRITIC-TOPSIS method 用critical - topsis方法对代码气味进行实证分析

2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2022-01-27 DOI: 10.1109/confluence52989.2022.9734202

Stuti Tandon, Vijay Kumar, V. B. Singh

引用次数: 0

A Contemplation on Music Recommendation Systems Based on Emotion Detection 基于情感检测的音乐推荐系统的思考

2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2022-01-27 DOI: 10.1109/Confluence52989.2022.9734209

Yash Bhardwaj, Aayush Upadhayay, Harshvardhan Chauhan, N. Roy

{"title":"A Contemplation on Music Recommendation Systems Based on Emotion Detection","authors":"Yash Bhardwaj, Aayush Upadhayay, Harshvardhan Chauhan, N. Roy","doi":"10.1109/Confluence52989.2022.9734209","DOIUrl":"https://doi.org/10.1109/Confluence52989.2022.9734209","url":null,"abstract":"Rise of music streaming platforms have attracted large number of users. This increase in the userbase has given birth to competitive market and competition to pull more number of users by providing quality service. Quality of service on these streaming platforms can be achieved by sensing the user needs and customizing the dashboards or playlist as per their need. This responsibility of customized recommendation lies on the recommendor system, an integral part of streaming platforms. In the absence of an effective recommender system, users have to waste lot of time in finding what they want, sometimes this is very frustrating and may lead to loss in revenue. It is found that “Emotion” play an important role in user music preferences, yet there is very little work done in this sector. In this paper, we have discussed taxonomy of a recommender system, critically analyzed the prominent existing models and have proposed a new hybrid model. The proposed model is an amalgamation of emotion detected from face, lyrical recommendation system and users history.","PeriodicalId":261941,"journal":{"name":"2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132997355","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

Improved Computer Vision-based Framework for Electronic Toll Collection 改进的基于计算机视觉的电子收费框架

2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2022-01-27 DOI: 10.1109/Confluence52989.2022.9734219

M. Mathews, M. Prabu, A. Pitchai, Derin Ben Roberts, G. Rahul

{"title":"Improved Computer Vision-based Framework for Electronic Toll Collection","authors":"M. Mathews, M. Prabu, A. Pitchai, Derin Ben Roberts, G. Rahul","doi":"10.1109/Confluence52989.2022.9734219","DOIUrl":"https://doi.org/10.1109/Confluence52989.2022.9734219","url":null,"abstract":"The world is moving towards artificial intelligence and automation because time is the most crucial asset in today’s scenario. This paper proposes an automatic vehicle fingerprinting system that avoids long waiting times in toll plazas with the help of computer vision. The number plate recognition and vehicle re-identification focus on this research. Day/night IR cameras are used to get the images of the vehicle and its number plate. The VeRi776 datum, which contains real-world vehicle images, is used to facilitate the research of vehicle re-identification. The proposed framework employs Siamese model architecture to identify the attributes such as color, model, and type of vehicle. The Car License Plate Detection datum is used to evaluate the efficiency of the proposed license plate recognition system. An ensemble of image localization techniques using CNNs and application of the OCR model on the localized snapshot is used to recognize the vehicle’s license plate. A combination of license plate recognition and vehicle re-identification techniques is used in the proposed framework to improve the efficiency of identifying vehicles in toll plazas","PeriodicalId":261941,"journal":{"name":"2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132671024","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

Implementing Prioritized-Breadth-First-Search for Instagram Hashtag Recommendation 在Instagram标签推荐中实现优先宽度优先搜索

2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2022-01-27 DOI: 10.1109/confluence52989.2022.9734217

Rishabh Bhaskar, A. Bansal

引用次数: 1

Indian Currency Classification Using Deep Learning Techniques 使用深度学习技术的印度货币分类

2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2022-01-27 DOI: 10.1109/Confluence52989.2022.9734149

Rohit Swami, Smiti Khurana, Shubham Singh, Sanjeev Thakur, Pavan Kumar Reddy Sajjala

{"title":"Indian Currency Classification Using Deep Learning Techniques","authors":"Rohit Swami, Smiti Khurana, Shubham Singh, Sanjeev Thakur, Pavan Kumar Reddy Sajjala","doi":"10.1109/Confluence52989.2022.9734149","DOIUrl":"https://doi.org/10.1109/Confluence52989.2022.9734149","url":null,"abstract":"Progression and evolution of technology has superseeded mechanical human workload in almost every domain with the operation of machines. The currency paper recognition is applicable in various domains of automatic selling goods systems and in banking systems. In the modern transition world for the automatic current recurring systems, the precise identification of paper currency notes is indeed an essential need. Machines often find it difficult in identifying and recognising the currencies in the market when the currency notes have turned bleary and damaged. It is hard for visually disabled people without any technological support or assistance to predict and analyze genuine currency notes. The accuracy of currency notes analysis identification have been refined and boosted throughout with the assistance of these models. Our research methodologies are in line and meeting the desired expectations. This paper presents an Indian Paper Currency Prediction Analysis, proposes an optimized model to recognise the currencies effectively. The Deep Learning approach of CNN model technique has improved the effective analysis of currency recognition with improved accuracy, high speed and efficiency along with complete automatic readily procedure with no human intervention and minimal complexity. This paper represents a strategy which is parted into two divisions, Keras trained a DL Model as well as hosted a Flask based web app on Heroku.Our proposed algorithm design and experimental based results are useful for majorly visually impaired people for differentiating all sorts of available denominations.","PeriodicalId":261941,"journal":{"name":"2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116417259","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

Assessment of Reliability Factors in Glass Manufacturing plant Using Boolean Algebra and Neural network 基于布尔代数和神经网络的玻璃制造工厂可靠性因素评估

2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2022-01-27 DOI: 10.1109/confluence52989.2022.9734199

Surbhi Gupta, S. Kanwar, H. Arora, Anjali Naithani

{"title":"Assessment of Reliability Factors in Glass Manufacturing plant Using Boolean Algebra and Neural network","authors":"Surbhi Gupta, S. Kanwar, H. Arora, Anjali Naithani","doi":"10.1109/confluence52989.2022.9734199","DOIUrl":"https://doi.org/10.1109/confluence52989.2022.9734199","url":null,"abstract":"In this study a glass manufacturing plant has been considered for its reliability and its cost evaluation by employing algebra of logics and neural networking. Calculations of numerous reliability parameters are presented in this research to analyse the performance of an Industrial glass manufacturing Plant. The development of a seventeen-component model showing the plant’s functioning operation. For short-term and long-term reliability, the model is then created and solved utilising two techniques. In the absence of a repair facility, the Boolean Function Technique is used to analyse algebraic logics and expressions for reliability parameters. Overall system reliability is evaluated in case of weibull and exponential distribution. Additionally, numerical examples were used to calculate MTTF or Mean Time to Failure, which is a key reliability measure. When a repair facility for the failed components was available, the ANN approach was used. To reduce the number of states, the components were grouped into three pieces and depicted as a block diagram. Then, to show the working conditions of these states, a state transition diagram was created. Both approaches were used to calculate numerical examples. For both strategies, the change in profit per unit time was also discussed with a focus to calculate the cost of the manufacturing model using MATLAB which is useful.","PeriodicalId":261941,"journal":{"name":"2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123823621","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

Sign Language to Text for Deaf and Dumb 聋哑人用手语发短信

2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2022-01-27 DOI: 10.1109/confluence52989.2022.9734196

Vibhu Gupta, Mansi Jain, Garima Aggarwal

{"title":"Sign Language to Text for Deaf and Dumb","authors":"Vibhu Gupta, Mansi Jain, Garima Aggarwal","doi":"10.1109/confluence52989.2022.9734196","DOIUrl":"https://doi.org/10.1109/confluence52989.2022.9734196","url":null,"abstract":"Hand-Sign Language Gestures are nonverbal messages that help in communication and can be understood with vision. Since the only disability Deaf & Dumb people have is communication related to speech therefore they cannot use spoken languages hence the only way for them to communicate with the people having same disability is through this hand-sign language. This causes a language barrier as normal people can not understand their hand sign language and vice a versa also since most of the people are not familiar with the same and interpreters are not very user-friendly they end up in a deadlock. Therefore, this paper proposes a CNN-based method for deciphering sign language and then converting it to text. In the proposed scheme of this paper the main focus is on fingerspelling and an additional feature of emotion recognition to support the interpretation with the 3rd component of sign language i.e non-manual features, a real-time solution for easy interpretation of sign language for normal human beings as well as Deaf & Dumb people using convolutional neural networks breaking the language barrier. The experimental results show that this paper achieved an accuracy score of 99.8% on testing data which is better than the majority of the recent research papers on American gesture-based communication","PeriodicalId":261941,"journal":{"name":"2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124666216","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

Identifying Critical Success Factor for Effective Adoption of Mobile Learning Application: An Empirical Study in Indian Context 确定有效采用移动学习应用程序的关键成功因素:印度背景下的实证研究

2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2022-01-27 DOI: 10.1109/Confluence52989.2022.9734229

Manoj Wairiya, G. Sahu, N. Tyagi

{"title":"Identifying Critical Success Factor for Effective Adoption of Mobile Learning Application: An Empirical Study in Indian Context","authors":"Manoj Wairiya, G. Sahu, N. Tyagi","doi":"10.1109/Confluence52989.2022.9734229","DOIUrl":"https://doi.org/10.1109/Confluence52989.2022.9734229","url":null,"abstract":"The Advent of Advanced Mobile Technology along with supportive strong internet Infrastructure creates an opportunity to educators to use this technology for teaching learning purpose, but still there is hesitancy among educators and students to adopt it for education. In developing countries specially in Indian context M-learning is in its initial stage. The stakeholders involved do not know how to implement M-learning in an efficacious way. In this research critical success factors have been investigated, which may play paramount role in M learning adoption process. To carry out the research data has been collected from students of higher education institutions across the nation by on line mode. The collected data is processed and analyzed using Structured Equation modeling and confirmatory factor analysis. Statistical package SPSS and AMOS has been used to analyze the data. Findings of the research indicated that social influence Facilitating condition, Ubiquity, Self-management of learning, Attitude, Government support are critical factors which significantly affect M-learning adoption. Based on these critical success factors a validated model for effective adoption of M learning has been developed.","PeriodicalId":261941,"journal":{"name":"2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125376356","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

Vision 360: Image Caption Generation Using Encoder-Decoder Model Vision 360:使用编码器-解码器模型生成图像标题

2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2022-01-27 DOI: 10.1109/confluence52989.2022.9734167

Ankita Kumari, A. Chauhan, Abhishek Singhal

{"title":"Vision 360: Image Caption Generation Using Encoder-Decoder Model","authors":"Ankita Kumari, A. Chauhan, Abhishek Singhal","doi":"10.1109/confluence52989.2022.9734167","DOIUrl":"https://doi.org/10.1109/confluence52989.2022.9734167","url":null,"abstract":"Vision360 incorporates three features in itself Image elaboration, speech to text, text to speech. The Main feature is Image Caption Generation, i.e., not only it is responsible for Image Segmentation, Object classification but it also establishes a relation between the objects classified that too with a logical relation that somehow gives the human vibe. Encoder-decoder model has been used. CNN has been used for Image and LSTM has been used for text. The paper also demonstrates the integration InceptionV3 model. Vision360 is a way of providing aid to blind people or partially blind people. It’s a way to bring convenience in their proximity in a single touch. It tries to bridge the gap that they have been feeling all along while walking on the same path with different people. A task to describe an Image is not very hard but if we want to automate this task of depicting something from an image and make the machine do it, it’ll be nearly impossible, even if the new researches have been made and feature extraction is attainable. Logically establishing semantically and syntactically correct sentences is still a hard task to accomplish. We used encoder-decoder model for parallel training of Image and text data, and used InceptionV3 for extracting feature vector. We evaluated our result on BLEU score metric and the model achieved BLEU score in-range of 0.70 to 0.78 for various images in the validation set.","PeriodicalId":261941,"journal":{"name":"2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125385701","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

Estimation of Particulate Matter PM2.5 Concentration using Random Forest Regressor with Hyperparameter Tuning 超参数调整随机森林回归估计PM2.5浓度

2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2022-01-27 DOI: 10.1109/Confluence52989.2022.9734205

Deepak Gaur, D. Mehrotra, Karan Singh

引用次数: 0