发布求助
文献互助 智能选刊 最新文献

2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)最新文献

筛选
英文 中文
AI Based Indigenous Medicinal Plant Identification 基于人工智能的本土药用植物鉴定
2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) Pub Date : 2020-07-01 DOI: 10.1109/ACCTHPA49271.2020.9213224
Anu Paulson, S. Ravishankar
{"title":"AI Based Indigenous Medicinal Plant Identification","authors":"Anu Paulson, S. Ravishankar","doi":"10.1109/ACCTHPA49271.2020.9213224","DOIUrl":"https://doi.org/10.1109/ACCTHPA49271.2020.9213224","url":null,"abstract":"In preserving the physical and psychological state of persons, ayurvedic medicines have an important role. The research aims to identify indigenous ayurvedic medicinal plant species using deep learning techniques. The social relevance of the proposal is so high as it would solve the problems of a wide range of stakeholders like physicians, pharmacy, government, and public. The identification of rare plant species may lead to a significant impact on the research associated with medical and other related areas. Another application can be the identification of plant species in forest and remote areas, where access to humans is limited. In such cases, the image of a particular plant species may be captured using drones and further analyzed. Currently, a lot of research work has been going on in the area of plant species identification using machine learning algorithms. The performance of Convolutional Neural Network (CNN), and pretrained models VGG16, and VGG19 has been compared for leaf identification problem. The dataset proposed in this research work contains indigenous medicinal plants of Kerala. The dataset consists of leaf images of 64 medicinal plants. CNN obtained a classification accuracy of 95.79%. VGG16 and VGG19 achieve an accuracy of 97.8% and 97.6% respectively, outperforms basic CNN.","PeriodicalId":191794,"journal":{"name":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132553238","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: 10
A Social Network Analysis of the Malayalam Novel Balyakalasakhi 马拉雅拉姆小说《Balyakalasakhi》的社会网络分析
2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) Pub Date : 2020-07-01 DOI: 10.1109/ACCTHPA49271.2020.9213213
A. Unnikrishnan, K. Arjun, K. Balakrishnan, C. Mohammed Shameem
{"title":"A Social Network Analysis of the Malayalam Novel Balyakalasakhi","authors":"A. Unnikrishnan, K. Arjun, K. Balakrishnan, C. Mohammed Shameem","doi":"10.1109/ACCTHPA49271.2020.9213213","DOIUrl":"https://doi.org/10.1109/ACCTHPA49271.2020.9213213","url":null,"abstract":"In this paper, we present a network analysis of Vaikom Muhammed Basheer’s novel Balyakalasakhi. We filter out the characters based on their presence and impact on the plot, and build networks based on certain social events between the characters. We analyse the characters using static and dynamic methods, compare the results, and see how the dynamic methods can minimise the limitations of the static methods.","PeriodicalId":191794,"journal":{"name":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128534799","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 Enhanced Round Robin (ERR) algorithm for Effective and Efficient Task Scheduling in cloud environment 一种增强的ERR (Round Robin)算法，用于云环境下高效的任务调度
2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) Pub Date : 2020-07-01 DOI: 10.1109/ACCTHPA49271.2020.9213198
M. S. Sanaj, P. M. Joe Prathap
{"title":"An Enhanced Round Robin (ERR) algorithm for Effective and Efficient Task Scheduling in cloud environment","authors":"M. S. Sanaj, P. M. Joe Prathap","doi":"10.1109/ACCTHPA49271.2020.9213198","DOIUrl":"https://doi.org/10.1109/ACCTHPA49271.2020.9213198","url":null,"abstract":"Efficient and Effective scheduling methods can result in more desired services to the consumers and also can improve the performance of a cloud computing environment. The primary job of a task scheduler is to ensure reduction in execution time of the tasks and to fulfill maximum resource utilization. This paper proposes an Enhanced version of Round Robin algorithm (ERR) for improved performance without affecting the good features of traditional RR and which can bring out more efficiency. The proposed algorithm is implemented and tested using CloudSim toolkit and the initial results prove that the average waiting time for the tasks in a given number of cloudlets is reduced in MRR than the conventional RR in the same conditions. The proposed method also outperforms the other existing algorithms such as ACO, GA, MPA, Min-Min and PSO in terms of execution time and residue energy.","PeriodicalId":191794,"journal":{"name":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116162126","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: 12
Deepnet for Detecting Analyzable Metaphases 用于检测可分析中期的深度网络
2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) Pub Date : 2020-07-01 DOI: 10.1109/ACCTHPA49271.2020.9213212
R. Remya, S. Hariharan, M. Sooraj, V. Keerthi, Abhijith S. Raj, C. Gopakumar
{"title":"Deepnet for Detecting Analyzable Metaphases","authors":"R. Remya, S. Hariharan, M. Sooraj, V. Keerthi, Abhijith S. Raj, C. Gopakumar","doi":"10.1109/ACCTHPA49271.2020.9213212","DOIUrl":"https://doi.org/10.1109/ACCTHPA49271.2020.9213212","url":null,"abstract":"Automated Karyotyping System (AKS) is an essential computer aided system for chromsome image analysis, that in turn, helps the cytogenetic experts for the diagnosis, prognosis and treatment evaluation of genetic disorders and cancers. Many challenges have been faced by researchers for designing a fully automated system. One among them is the detection of analyzable metaphases, which are the input to the system. Conventional machine learning as well as deep learning techniques were adopted by researchers to classify the analyzable and unanalyzable metaphases. Here as well, a Convolutional Neural Network (CNN) is proposed to efficiently detect analyzable metaphases. It is found that the testing accuracy of the classifier is 85% eventhough the dataset is scarce.","PeriodicalId":191794,"journal":{"name":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126027599","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 Proposed Design of Conventional 4-Bit Carry Look-Ahead Adder Improving Performance 一种改进传统4位进位前瞻加法器性能的设计方案
2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) Pub Date : 2020-07-01 DOI: 10.1109/ACCTHPA49271.2020.9213227
Muhammad Saddam Hossain, F. Arifin
{"title":"A Proposed Design of Conventional 4-Bit Carry Look-Ahead Adder Improving Performance","authors":"Muhammad Saddam Hossain, F. Arifin","doi":"10.1109/ACCTHPA49271.2020.9213227","DOIUrl":"https://doi.org/10.1109/ACCTHPA49271.2020.9213227","url":null,"abstract":"This paper presents a method towards the improved performance parameters of conventional CMOS based 4-bit carry look-ahead adder. Conventional CLA adder has high numbers of transistors and high input impedance due to which various performance aspects are affected. Due to high input impedance, its delay and power consumption are high. Therefore, to increase the performance and to reduce delay, we have proposed an advanced version of CLA adder where hybrid logic based XOR gate and GDI AND gates have been used as input to reduce the transistor count as well as to improve performance. Finally, performance of modified adder has been compared with the conventional CLA adder. We have noticed that modified CLA adder showed better performance than the conventional CLA adder. Simulation has been done with Cadence virtuoso 90nm technology.","PeriodicalId":191794,"journal":{"name":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127912361","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
Effects of Preprocessing on the Quantification of Cerebral Blood Flow from Arterial Spin Labeling MRI 预处理对动脉自旋标记MRI脑血流定量的影响
2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) Pub Date : 2020-07-01 DOI: 10.1109/ACCTHPA49271.2020.9213194
A. Shyna, C. Usha Devi Amma, Ansamma John, B. Athira
{"title":"Effects of Preprocessing on the Quantification of Cerebral Blood Flow from Arterial Spin Labeling MRI","authors":"A. Shyna, C. Usha Devi Amma, Ansamma John, B. Athira","doi":"10.1109/ACCTHPA49271.2020.9213194","DOIUrl":"https://doi.org/10.1109/ACCTHPA49271.2020.9213194","url":null,"abstract":"Magnetic Resonance Imaging (MRI) using Arterial Spin Labeling (ASL) is a quantitative Imaging technique which is used to quantify Cerebral Blood Flow (CBF) and it plays a vital role as a bio-marker for various neuro-degenerative diseases and brain tumour. The ASL images suffer from low Signal-to-Noise Ratio (SNR) and low resolution, which can be improved by acquiring a number of ASL raw images called label and control images. Acquiring large number of images, results in prolonged scanning time, which in turn leads to different artifacts in ASL images. Hence different image preprocessing techniques are essential for the accurate quantification of CBF values. Moreover, there is no standard procedure for processing ASL data due to the large number of assumptions and various parameters involved in CBF quantification. The proposed research work analyses the effects of different preprocessing stages on CBF quantification on pulsed ASL (PASL) and Pseudo continuous ASL (PCASL) data. The use of an outlier detection SCORE+ algorithm with and without preprocessing stages are also examined.","PeriodicalId":191794,"journal":{"name":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115910851","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
Computational Investigation of Arjunarishta Formulation using Module-Network Analysis 基于模块网络分析的Arjunarishta公式计算研究
2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) Pub Date : 2020-07-01 DOI: 10.1109/ACCTHPA49271.2020.9213228
K. Mahija, Stanzin Kadol, K. Nazeer
{"title":"Computational Investigation of Arjunarishta Formulation using Module-Network Analysis","authors":"K. Mahija, Stanzin Kadol, K. Nazeer","doi":"10.1109/ACCTHPA49271.2020.9213228","DOIUrl":"https://doi.org/10.1109/ACCTHPA49271.2020.9213228","url":null,"abstract":"Progress in technology has permitted scientists to discover, find, verify protein interactions through Protein-Protein interaction networks(PINs). This approach can be used in Indian Ayurvedic medicine for understanding the usage and effects of certain formulations like Arjunarishta formulation(AF). It promotes blood circulation and prevents cardiovascular disorders. However, the mechanism of AF to strengthen the heart muscle and to regulate the circulation of blood is seldom reported at the systems level or molecular level. This study explains the mechanism of Arjunarishta formula(AF) using Protein Interaction Network. The human target protein of the effective components of the herbs present in AF was taken from IMPPAT and STITCH database. This information was further used to search the confidence score between the proteins in STRING database. The protein interaction network was constructed and functional modules of the network was constructed using Markov Clustering algorithm. The results indicate Arjunarishta formulation will prove to be beneficial for understanding the mechanism of Ayurvedic formulation Arjunarishta and its therapeutic uses in Cardio-vascular diseases(CVD).","PeriodicalId":191794,"journal":{"name":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131557588","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
Development of Web and Mobile Application Based Online Buy, Sell and Rent Car System 基于Web和移动应用的在线汽车购销租赁系统的开发
2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) Pub Date : 2020-07-01 DOI: 10.1109/ACCTHPA49271.2020.9213208
Shakhawat Hossain Mahi, Umme Habiba Maliha, S. Sakib
{"title":"Development of Web and Mobile Application Based Online Buy, Sell and Rent Car System","authors":"Shakhawat Hossain Mahi, Umme Habiba Maliha, S. Sakib","doi":"10.1109/ACCTHPA49271.2020.9213208","DOIUrl":"https://doi.org/10.1109/ACCTHPA49271.2020.9213208","url":null,"abstract":"This research paper aims to develop an online car trading and rental system. It’s an online marketplace where anyone can buy, sell or rent cars using this website and application. This system will help the users to rent cars when needed. It can also help user to give their idle car in rent which will give them an extra bit of income. They can also sell their used car to others. Users can also buy new or used car directly using this system in a cheaper way. This System has both Website and Android interface. Customers can use both according to their purpose. This system can be a one stop solution for all car related problems.","PeriodicalId":191794,"journal":{"name":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124375389","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
Reverse Principal Component Analysis for Multi-Output Regression 多输出回归的逆主成分分析
2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) Pub Date : 2020-07-01 DOI: 10.1109/ACCTHPA49271.2020.9213193
Akshit Bhalla
{"title":"Reverse Principal Component Analysis for Multi-Output Regression","authors":"Akshit Bhalla","doi":"10.1109/ACCTHPA49271.2020.9213193","DOIUrl":"https://doi.org/10.1109/ACCTHPA49271.2020.9213193","url":null,"abstract":"The problem of multi-output regression deals with predicting more than one value given an observation. This paper proposes a novel method to accomplish this task by using a popular technique named Principal Component Analysis (PCA). The approach is to reduce the dimensions of the target data and make predictions on it, following which the predictions are transformed to the higher dimension. This approach was compared against several existing approaches using publicly available datasets. It was found to largely outperform other approaches. Application areas include (not limited to) climatology, genetics, image processing and computer vision, and medicine.","PeriodicalId":191794,"journal":{"name":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126045146","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
Eye Movement Classification Using CNN 使用CNN进行眼动分类
2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) Pub Date : 2020-07-01 DOI: 10.1109/ACCTHPA49271.2020.9213219
Milu Prince, N. Santhosh, Nimitha Thankachan, Reshma Sudarsan, V. Anjusree
{"title":"Eye Movement Classification Using CNN","authors":"Milu Prince, N. Santhosh, Nimitha Thankachan, Reshma Sudarsan, V. Anjusree","doi":"10.1109/ACCTHPA49271.2020.9213219","DOIUrl":"https://doi.org/10.1109/ACCTHPA49271.2020.9213219","url":null,"abstract":"In today’s world eye has significant importance in technological advancements. Eye contact and eye gaze are an important factor for communication. Eye movement has a wide range of applications in various technology. In recent years, eye movement detection is gaining a lot of attention. Our aim is to create an approach that employs deep convolutional neural networks which will run for both eyes in parallel for visual feature extractions. Dataset images for training and validation were obtained from the eye chimera dataset. Testing is done by inputting real-time videos.","PeriodicalId":191794,"journal":{"name":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130328247","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信