Recent Trends in Intensive Computing最新文献

Mineral Rock Classification Using Convolutional Neural Network 基于卷积神经网络的矿物岩石分类

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210235

Shanmuk Srinivas Amiripalli, Grandhi Nageshwara Rao, Jahnavi Behara, K. Sanjay Krishna, Mathurthi pavan venkat durga ram

引用次数: 2

A Novel Technique for Handling Small File Problem of HDFS: Hash Based Archive File (HBAF) 一种处理HDFS小文件问题的新技术:基于哈希的归档文件(HBAF)

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210205

Vijay Shankar Sharma, N. Barwar

引用次数: 1

Computer Vision Approach for Detecting Adulteration of Ghee with Foreign Fats – A Survey 计算机视觉方法检测酥油中掺入外来脂肪的研究进展

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210216

A. Upadhyay, Neha Chaudhary

{"title":"Computer Vision Approach for Detecting Adulteration of Ghee with Foreign Fats – A Survey","authors":"A. Upadhyay, Neha Chaudhary","doi":"10.3233/apc210216","DOIUrl":"https://doi.org/10.3233/apc210216","url":null,"abstract":"Ghee is pure clarified fat derived from milk, yogurt and fresh cream. It is most commonly used milk fat product in India. The consumption and production of ghee is consistently increasing by 10% in our country in every year. In comparison to other milk fat product, ghee is expensive and short in demand because of its pleasant taste or high nutrition value. Due to its high cost and demand in market, there are high possibilities to adulterate it with cheap fats like vegetable oil/animal body fats. The adulteration detection of ghee is becoming a serious issue to chemists. Several analytical and instrumental methods are available for the detecting adulteration in ghee based on chemical principles. On the basis of study, it was observed that analytical methods are not suitable to detect the adulteration level of <15%. In recent time, digital image analysis is introduced in the field of adulteration detection in food products. A very few studies found in the area of milk fat adulteration detection with foreign fats using image analysis. Various studies found related to detection of adulteration in Oils (like Extra virgin olive oil, sesame oil etc.) with cheap oil using the various color models (like CIELAB, RGB, HSV, CMYK) and machine learning algorithms.","PeriodicalId":429440,"journal":{"name":"Recent Trends in Intensive Computing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125063912","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

Issues of COVID 19 Screening with Machine Learning Algorithm and Data Sets Availability 使用机器学习算法和数据集可用性筛选COVID - 19的问题

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210298

G. Balaji, S. Suryanarayana, P. Vijayaragavan

{"title":"Issues of COVID 19 Screening with Machine Learning Algorithm and Data Sets Availability","authors":"G. Balaji, S. Suryanarayana, P. Vijayaragavan","doi":"10.3233/apc210298","DOIUrl":"https://doi.org/10.3233/apc210298","url":null,"abstract":"There is a need to wear a mask during the coronavirus outbreak to efficiently deter the transmission of COVID-19 virus. In these instances, traditional facial screening technologies obsolete for monitoring of group entry at Airports, shopping malls, railway stations, etc. It is, therefore, vital to boost the efficiency of screening. This paper addresses the machine learning algorithm for contactless face screening systems in group participation, social interaction, school management, mall entry management, and market resumption scenarios in the case of COVID- 19. A method to screen entry with masks are developed using machine learning, which depends on various face specimens that were discussed here. The second fold discussion in this paper is that previously there are not many freely accessible masked face-databases. To this end, various forms of masked face data sets are identified, namely MFDD, Real MFRD, and Simulated MFRD. Such data sets became widely accessible to businesses and academics, based on which specific apps may be built on masked faces. The mathematical model, with the code was given. The availability and issues of the above data sets were discussed for the benefit of researchers.","PeriodicalId":429440,"journal":{"name":"Recent Trends in Intensive Computing","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116384252","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

Systematic Study of Video Mining with Its Applications 视频挖掘及其应用的系统研究

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210232

Mallappa G. Mendagudli, K. Kharade, T. Nadana Ravishankar, K. Vengatesan

引用次数: 0

Smart Ticketing System for Public Transport Vehicles 公共交通车辆智能票务系统

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210301

J. Subramaniyan, P. Senthil Kumar, S. Sripriya, C. Jegan, M. Jenny

引用次数: 1

Performance Measurement of Animation Design Pre-Production Artist During COVID-19 Pandemic in India 印度COVID-19大流行期间动画设计前期制作艺术家的表现衡量

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210255

Arghya Kamal Roy, Abhishek Kumar, B. Muthu Kumaran, Sayyad Samee, Pranjal Singh, K. Vengatesan

{"title":"Performance Measurement of Animation Design Pre-Production Artist During COVID-19 Pandemic in India","authors":"Arghya Kamal Roy, Abhishek Kumar, B. Muthu Kumaran, Sayyad Samee, Pranjal Singh, K. Vengatesan","doi":"10.3233/apc210255","DOIUrl":"https://doi.org/10.3233/apc210255","url":null,"abstract":"This research focuses on the development of the Indian animation industry. In Animation Pipeline pre-production is an important stage that determines the success of a film. Create and develop a story is the fast step and all other steps have to follow that storyline till final film realized. In this research paper present the survey base online questionnaire and the data has been collected of 300 artist who belong into Indian animation industry conducted in September 2020 by using google form. In general, Indian animation industry mostly run into production and post production (technical) base work so Indian animation industry has a smaller number of vacancies for pre-production (design and planning) artist and also having a very a smaller number of design and planning artist because of that they have highly demand. To evaluate and determine the factors that may affect the level of Indian animation pre-production industry. The study helpful to identify the animation industry current need and it focuses on planning stage to production of a movie. This research paper concludes 95% of artist working into the industry for production and post production if they are properly working into preproduction and then start into the movie work then there will be more vacancy for pre-production artist and end of the day production cost reduced up to 25 %.","PeriodicalId":429440,"journal":{"name":"Recent Trends in Intensive Computing","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129131051","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 Review on Systematic Investigation of Leucocytes Identification and Classification Techniques for Microscopic Blood Smear 镜检血液涂片白细胞鉴别与分类技术系统研究综述

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210197

Pranav More, Rekha Sugandhi

{"title":"A Review on Systematic Investigation of Leucocytes Identification and Classification Techniques for Microscopic Blood Smear","authors":"Pranav More, Rekha Sugandhi","doi":"10.3233/apc210197","DOIUrl":"https://doi.org/10.3233/apc210197","url":null,"abstract":"Healthcare services are an important part of human beings and healthcare services are changing with new and innovative technologies. In recent day’s healthcare sector performing very crucial role in metamorphose of traditional health services to e-health technologies. This proposal provides an error-free and improved technology-based blood analysis service for the identification of leucocytes in blood samples of humans. Leucocytes play a vital and important character in human immune systems. This system helps to protect the body from suffering from leukemia. Leukemia, a blood cancer, nowadays is commonly found in all age persons. Leukemia is a type of disease and image processing techniques and algorithms can play a crucial role in disease diagnostic methodology. Identification of leukocytes in blood smear provides important information to pathologist as well as doctors to analyze and predicts different types of diseases, such as cancer. However, this analysis is critical and major complexities which results in errors and also takes a lot of time for analysis. Most of the time, the laboratory practitioners and doctors are interested only in leucocytes in blood smear. Medical image processing techniques strongly supports in their critical diagnosis and better results.","PeriodicalId":429440,"journal":{"name":"Recent Trends in Intensive Computing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123791515","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

Grid-Tie Rotating Solar Rooftop System Using Atmega 使用Atmega的并网旋转太阳能屋顶系统

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210275

K. Ushanandhini, A. Kiruthika, Dharmaprakash

引用次数: 0

Customer Segmentation Using Machine Learning 使用机器学习进行客户细分

Recent Trends in Intensive Computing Pub Date : 2021-12-01 DOI: 10.3233/apc210200

N. Patankar, Soham Dixit, Akshay Bhamare, Ashutosh Darpel, Ritik Raina

引用次数: 1