发布求助
文献互助 智能选刊 最新文献

2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)最新文献

筛选
英文 中文
5G Technologies and Tourism Environmental Carrying Capacity based on Planning Optimization with Remote Sensing Systems 基于遥感系统规划优化的5G技术与旅游环境承载力
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2020-10-07 DOI: 10.1109/I-SMAC49090.2020.9243451
N. Chen, Qing Yuan
{"title":"5G Technologies and Tourism Environmental Carrying Capacity based on Planning Optimization with Remote Sensing Systems","authors":"N. Chen, Qing Yuan","doi":"10.1109/I-SMAC49090.2020.9243451","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243451","url":null,"abstract":"5G technologies and the tourism environmental carrying capacity based on planning optimization with remote sensing systems is studied in this paper. Scientific travel route planning not only helps travellers to formulate their travel routes based on their time and also budget. This paper gives the novel technology-based planning framework. The novelties can be summarized into the follows. (1) Multi-satellite remote sensor combination technology refers to the technology of combining different types and types of remote sensors into a remote sensing observation system, this tool is used to capture the images. (2) Multi-satellite remote sensor combination technology refers to the technology of combining different types and types of remote sensors into a remote sensing observation system. This technology is used to guarantee the information transmission. After the data analysis, the tourism environmental carrying capacity is modelled. The experiment results have proven the performance.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114574740","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
LSTM Neural Network Model with Feature selection for Financial Time series Prediction 基于特征选择的LSTM神经网络模型用于金融时间序列预测
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2020-10-07 DOI: 10.1109/I-SMAC49090.2020.9243376
Nikhitha Pai, V. Ilango
{"title":"LSTM Neural Network Model with Feature selection for Financial Time series Prediction","authors":"Nikhitha Pai, V. Ilango","doi":"10.1109/I-SMAC49090.2020.9243376","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243376","url":null,"abstract":"The case of features selection plays an important role in fine-tuning the prediction capacity of machine learning models. This paper reviews the different scenarios with three sets of features in each case and evaluate the training and validation data performance with and without these features. How the prediction results change can be seen as and when the different features are included or excluded and Recursive feature elimination, Correlation, Random forest algorithm is used for feature importance and evaluate the results with LSTM networks.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114891704","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
An Effective Network Monitoring Tool for Distributed Networks 一种有效的分布式网络监控工具
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2020-10-07 DOI: 10.1109/I-SMAC49090.2020.9243344
Sharath Kumar, P. S., Ramyashree
{"title":"An Effective Network Monitoring Tool for Distributed Networks","authors":"Sharath Kumar, P. S., Ramyashree","doi":"10.1109/I-SMAC49090.2020.9243344","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243344","url":null,"abstract":"Many of the organizations connect plenty of numbers of systems to establish a network which will intern make their work easier to share their folders and files. As many systems are involved security concern is the major aspect while attaching such systems, and wanted to keep track of the network system activities for security motive. A Monitoring mechanism in a computer grid is used to observe all the ongoing activities of the whole network. The main objective is to gather details from the monitoring environment and the system. In this paper, various network parameters of the established computer networks are observed using the developed monitoring mechanism such as IP address, files transferred and Mac address.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124726429","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
A Correlative Study of Centrality Measures across Real-World Networks 真实世界网络中心性测度的相关研究
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2020-10-07 DOI: 10.1109/I-SMAC49090.2020.9243484
Harshita Rastogi, Minni Jain
{"title":"A Correlative Study of Centrality Measures across Real-World Networks","authors":"Harshita Rastogi, Minni Jain","doi":"10.1109/I-SMAC49090.2020.9243484","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243484","url":null,"abstract":"Centrality measures have evolved over the years and used over a variety of networks. Being one of the most basic measures to identify important nodes in ever-increasing modern-day networks, it has been manipulated and modified in every way possible to fit the requirement of the network and the way important nodes are perceived in it. Different centrality measures which seem to perform quite differently on a theoretical basis, provide similar results when applied to real-life networks. The centrality measures are studied based on the approach used, application areas, performance and measure the correlation among 14 centrality measures across 12 network topologies using Pearson, Spearman and Kendall correlation coefficients.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127391857","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
Design and Implementation of Tunable Network on Chip for FPGA applications 基于FPGA的片上可调网络的设计与实现
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2020-10-07 DOI: 10.1109/I-SMAC49090.2020.9243305
Varsha Joy
{"title":"Design and Implementation of Tunable Network on Chip for FPGA applications","authors":"Varsha Joy","doi":"10.1109/I-SMAC49090.2020.9243305","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243305","url":null,"abstract":"Conventionally buses or crossbar interconnects were used as interconnects for FPGA or ASIC. With the passage of time and growth of technology Network on chip (NoC) was developed. NoC proved to be an efficient and effective alternative for an interconnecting problem in large System-on-Chip (SoCs). This paper aims to develop a tunable NoC for FPGA which utilizes the maximum potential of FPGA resources so that more resources could be incorporated in the available space thereby making it suitable for multipurpose SoC platform. Also, it could be adapted to any kind of FPGA device and multi-code devices. This tunable NoC requires fewer resources and supports higher clock frequency. It also can provide a better average latency.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130123749","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 survey on enhanced RPL: Addressing the mobility in RPL 增强RPL研究综述:解决RPL中的流动性问题
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2020-10-07 DOI: 10.1109/I-SMAC49090.2020.9243405
R. Yadav, N. Awasthi
{"title":"A survey on enhanced RPL: Addressing the mobility in RPL","authors":"R. Yadav, N. Awasthi","doi":"10.1109/I-SMAC49090.2020.9243405","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243405","url":null,"abstract":"The Internet Of Things(IoT) is emerging as a necessary tool for the modernization of world. With the advancement in IoT comes the new challenges in many areas. One area among them is routing. Though routing in IoT is challenging but the more challenging task is routing in low power lossv networks (RPL). There are some critical applications for example healthcare, which requires the mobility issue to be resolved. Mobility in RPL is a new research area for many scholars and number of protocols are developed for the same. Some work integrate mobility in a way that avoid any disconnection of moving node before finding new connection while other just allow fast recovery after disconnection. This work is analysis of various mobility associated RPL protocols. The main focus of this paper is on the energy consumption, handover delay, signaling cost and route stability of various algorithms. The presented work also focuses on whether the protocol is reactive or proactive. This work gives a detailed conclusion on development of mobility in RPL and categorized the studied protocols on the basis of their property. To some extent protocols studied are also compared to each other and tells which one is better.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130451278","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: 4
FDLM: Fusion Deep Learning Model for Classifying Obstructive Sleep Apnea and Type 2 Diabetes FDLM:阻塞性睡眠呼吸暂停和2型糖尿病分类的融合深度学习模型
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2020-10-07 DOI: 10.1109/I-SMAC49090.2020.9243553
A. Rajawat, Omair Mohammed, P. Bedi
{"title":"FDLM: Fusion Deep Learning Model for Classifying Obstructive Sleep Apnea and Type 2 Diabetes","authors":"A. Rajawat, Omair Mohammed, P. Bedi","doi":"10.1109/I-SMAC49090.2020.9243553","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243553","url":null,"abstract":"This research paper proposes a Fusion model, which is based on an ensemble majority vote classification, which includes several hidden-layers (BPNN, MP, AS, and SSTM) for classifying Obstructive Sleep Apnea and Diabetes. This paper aims to increase the accuracy in classifying Obstructive Sleep Apnea and Type 2 Diabetes through a Convolutional Neural Network (CNN) and Deep Belief Networks (DBN) using Shifted Filter Responses by identify deep learning features and to reduce the computational time. The experiments are carried out using datasets consisting of attributes of Obstructive Sleep Apnea and Diabetes. The experimental results indicate that the findings are improved than the previous model using the proposed Fusion Deep Learning Model.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121385454","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: 11
Insights into the Impactful usage of Virtual Reality for End Users 洞察虚拟现实对终端用户的影响
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2020-10-07 DOI: 10.1109/I-SMAC49090.2020.9243539
K. Malvika, S. Malathi
{"title":"Insights into the Impactful usage of Virtual Reality for End Users","authors":"K. Malvika, S. Malathi","doi":"10.1109/I-SMAC49090.2020.9243539","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243539","url":null,"abstract":"“Campus Visit” is the most significant facet of college enrolment program. An in-person strolling “campus-tour” is a tiresome task that is generally infeasible for the guests to explore all the amenities within a day due to distance, time constraints, or due to budgetary imperatives. With the innovative movements, the idea of the computerized visit goes under a bigger brolly of Virtual Reality and because of the ongoing COVID-19 pandemic, the demand for virtual exploration is on the rise. VR has an incredible potential to reimagine and reconstruct the reality with magnificent visualizations by allowing virtual access to objects and places that may be out of reach in the real world. Undoubtedly, “Virtual-Tour” has become a celebrated methodology for cheap and cheerful voyaging. This perlustration perspicuously elucidates the impactful usage of VR in assorted fields and spotlights the use of VR in “Campus-Tour”. Additionally, it focusses on featuring the quality and restrictions of prior proposed VR techniques and ultimately, drives out the supreme strategy that offers an immersive experience to the end-user.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126558802","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 Comparative Analysis of Deep Learning Approach for Automatic Number Plate Recognition 深度学习方法在车牌自动识别中的比较分析
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2020-10-07 DOI: 10.1109/I-SMAC49090.2020.9243424
C. Sahu, Sushree Barsa Pattnayak, Susantini Behera, Manas Ranjan Mohanty
{"title":"A Comparative Analysis of Deep Learning Approach for Automatic Number Plate Recognition","authors":"C. Sahu, Sushree Barsa Pattnayak, Susantini Behera, Manas Ranjan Mohanty","doi":"10.1109/I-SMAC49090.2020.9243424","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243424","url":null,"abstract":"Automatic number plate detection and analysis is a general monitoring strategy used by a large number of city vehicles to enhance traffic management, routing, traffic control, toll collection, and regulation and protection of highway law. ANPR approach can be applied according to different methodologies. This job can be scanned, executed and compared. This proposed work is carried out in real-time application using YOLO v3 for the identification and recognition of plate numbers. In this study, a comparative method for ANPR has been demonstrated. Traditional approaches were focused on contouring, segmentation, edge detection processes which gave less accuracy but here tried to implement YOLO v3 technique that will give more accurate results for Indian license plate detection in real-time.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122173813","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
Human Activity Identification using CNN 利用CNN进行人类活动识别
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2020-10-07 DOI: 10.1109/I-SMAC49090.2020.9243477
Neha Junagade, Shailesh.V. Kulkarni
{"title":"Human Activity Identification using CNN","authors":"Neha Junagade, Shailesh.V. Kulkarni","doi":"10.1109/I-SMAC49090.2020.9243477","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243477","url":null,"abstract":"Human activity recognition [HAR] is a field of study that deals with identifying, interpreting, and analyzing the actions specific to the movement of human beings. Currently, the activity recognition system like (HAR) is becoming a huge field of innovative work with an emphasis on advanced machine learning algorithms, innovations that focus on increasing safety while decreasing the costs of monitoring, which helps in the field of healthcare, child care, surveillance, sports or keeping track of behavioral pattern of human beings. This model aims to develop a system that recognizes activities like sitting, standing, walking, sleeping, reading, and tilting using CNN. It is done by a supervised learning method, which is an ML task where a function is trained that provides output by mapping it to input, i.e., the activity will be recognized based on the activity defined/labeled in the data.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121231931","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
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