2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)最新文献

Literature Survey for IoT-based Smart Home Automation: A Comparative Analysis 基于物联网的智能家居自动化文献综述:比较分析

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596421

Ranjeeta Kaur, Prashant Vats, Manju Mandot, S. Biswas, R. Garg

引用次数: 1

Online Career Guidance and Counseling - Picxida 在线职业指导和咨询- Picxida

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596186

R. Sucharitha, Ankit Duhan, Harmeet Singh, Jeevan Singh, S. Kadyan, Manjit Kaur

引用次数: 1

Automated RoI Extraction and Pattern Classification of Breast Thermograms 乳房热像图的RoI自动提取与模式分类

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596113

J. J. Selle, M. Ulaganathan, A. Pranavi, P. Rani

引用次数: 0

Medical Diagnosis: Implementation of Different Machine Learning Based Approaches 医学诊断:基于不同机器学习方法的实现

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596096

Ramandeep Kaur, A. Singh, Shakti Kumar

引用次数: 1

Challenges and Opportunities for Unikernels in Machine Learning Inference 机器学习推理中unikernel的挑战与机遇

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596080

Aarush Ahuja, Vanita Jain

{"title":"Challenges and Opportunities for Unikernels in Machine Learning Inference","authors":"Aarush Ahuja, Vanita Jain","doi":"10.1109/icrito51393.2021.9596080","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596080","url":null,"abstract":"Machine Learning has become a value creator for many new and old businesses. However, efficient realworld machine learning deployments are still a challenge. Traditional Machine Learning deployments suffer from efficient resource utilization and achieving predictable latency. They cannot be treated in the same manner as other application server deployments. Unikernels are a method to specialize application deployment and performance to suit the needs of the application. Traditionally, building or porting applications to unikernels have been challenging. However, recent work has been into simplifying the development of unikernels. Real-world Unikernels as of now are only for specializing applications that run on the CPU. We survey machine learning practitioners and find out that the majority of machine learning practitioners are using the CPU for machine learning deployments, thus, creating an opportunity for unikernels to optimize the performance of these applications. We compare the architecture of two unikernels: nanos and Unikraft. We benchmarked scikit-learn, a popular machine library, inside a unikernel and found that it only offered a 1% advantage over a traditional deployment. However, our testing could not include more innovative systems like Unikraft due to their immaturity and inability to run machine learning libraries. We include a dependency analysis of three popular machine learning libraries Tensorflow Lite, PyTorch and ONNX, to help pave the way for building machine learning applications as Unikraft unikernels.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122552944","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

The Role of higher education and Information Communication Technology in the development of students' personalities and quality education at private university: A Quantitative Exploration 高等教育与信息通信技术在民办大学学生个性发展与素质教育中的作用:定量探索

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596160

Ramdulari Upadhayay, H. Kaushik, Kavita Verma

{"title":"The Role of higher education and Information Communication Technology in the development of students' personalities and quality education at private university: A Quantitative Exploration","authors":"Ramdulari Upadhayay, H. Kaushik, Kavita Verma","doi":"10.1109/icrito51393.2021.9596160","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596160","url":null,"abstract":"The subjective purpose of the study was to identify the role of teachers in the personality development of students enrolled in Higher educational institutions in the North Indian region. In education, ICT plays an important role in facilitating teaching and learning. ICT makes the classroom more interactive and collaborative. In the covid 19 pandemic situation, ICT use in Educational institutions is important for giving students opportunities to learn and apply the required skills. Quality education is important to develop students' quality, characteristic, attitude, behaviors, quirks, beliefs and psychological traits which makes up their identity. The sample group of research consist of 1267 students (boys 896, girls 371) from different departments of private university and some other institutions of the North Indian region. A self-developed questionnaire was used where the students were asked to give samples of their university/institution teachers roles, attitude, behavior, knowledge, and skills to know the effects on their personality development and performances.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114579727","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

A New Hybrid filtering technique for Despeckling of Ultrasound Images 一种新的超声图像去斑混合滤波技术

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596475

Shivam Kumar Pal, Ankur Bhardwai, A. P. Shukla

{"title":"A New Hybrid filtering technique for Despeckling of Ultrasound Images","authors":"Shivam Kumar Pal, Ankur Bhardwai, A. P. Shukla","doi":"10.1109/icrito51393.2021.9596475","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596475","url":null,"abstract":"Medical diagnostics can benefit from ultrasound (US) imaging. Because it is non-invasive and inexpensive, the US is recommended over other medical diagnosis techniques. The inclusion of speckle noise in US images reduces the utility of the images. Correct diagnosis can be aided by a technology that eliminates speckle noise in US images. While reducing the speckle noise, our approach should preserve the critical structural figures cutting-edge US images. The method used for this work can reduce speckle noise in denoised image while still preserving structural information. The suggested method successfully denoises synthetic and real ultrasound pictures, as evidenced by the consequences of numerous measurable tests and optical review. A comparison of existing speckle reduction strategies was carried out in this study. We compared anistropic diffusion, Frost diffusion, Lee, and the Hmedian filter. The approaches are initially tested on simulated photos to compare the results. Exponential thresholding outperforms the other strategies when the noise variance is bigger. Furthermore, the hybrid filter is found to have equivalent enactment and hence functions well concluded a wide series of noise variation.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117101236","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

An Improved Multi-label k-Nearest Neighbour Algorithm with Prototype Selection using DENCLUE 基于DENCLUE的原型选择改进多标签k近邻算法

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596427

Monia, Himanshu Suyal, Aditya Gupta

引用次数: 0

An Energy Efficient Agent Aware Proactive Fault Tolerance for Preventing Deterioration of Virtual Machines Within Cloud Environment 基于节能Agent感知的云环境下防止虚拟机劣化的主动容错方法

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596453

Bhanu Talwar, A. Arora, Salil Bharany

{"title":"An Energy Efficient Agent Aware Proactive Fault Tolerance for Preventing Deterioration of Virtual Machines Within Cloud Environment","authors":"Bhanu Talwar, A. Arora, Salil Bharany","doi":"10.1109/icrito51393.2021.9596453","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596453","url":null,"abstract":"Nowadays, Cloud Computing is widely adopted in current scenario for both personal and professional usage. With advent of technology, large scale usage and increasing growth of cloud computing resources has led to an important issue which is cloud service reliability and high energy consumption. The major issue in cloud computing is data availability, backup replication, data efficiency and reliability because of the failures encountered during the execution. So, for ensuring reliability and availability and limit the use of energy in cloud a technique for fault tolerance must be developed. Presently two main types of fault tolerant techniques such as proactive and reactive fault tolerance are available. In the existing fault tolerant techniques, the focus is mainly on the way to tolerate fault but co-ordination between VMs is missing. Reactive fault tolerance techniques work only after fault is encountered i.e., the system is diagnosed after fault occurs and these techniques lower the effects of faults. To overcome this problem, we first allocate tasks to the virtual machines by using concept of Hot Queues and Cold Queues to reduce total energy consumption and allocating the load among VMs in such a manner that no task goes into starvation state. In this paper agent-based monitoring mechanism is proposed to dynamically monitor the running statistics of all jobs running on VMs. Moreover, our agent-based monitoring system is able to resolve the problem of deteriorating Virtual Machine. In case deterioration is detected, migration is initiated causing high fault tolerance rate and Performance optimization in terms of overhead and execution time, energy efficiency is observed.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128637779","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: 14

Application of IoT in Agriculture 物联网在农业中的应用

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596120

Narendra Kumar, A. Dahiya, Krishna Kumar, Sarvesh Tanwar

引用次数: 1