2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)最新文献_第2页

Analysis of Flexible Textile Antenna Design and Their Application for Wireless Communication: A Survey 柔性纺织天线设计分析及其在无线通信中的应用综述

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032601

Abhishek Agarwal, Riki H. Patel, A. Desai, T. Upadhyaya, Shubham Patel

引用次数: 0

An IoT Based Efficient Fire Supervision Monitoring and Alerting System 基于物联网的高效火灾监控报警系统

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032530

B. Prabha

{"title":"An IoT Based Efficient Fire Supervision Monitoring and Alerting System","authors":"B. Prabha","doi":"10.1109/I-SMAC47947.2019.9032530","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032530","url":null,"abstract":"The industry's dynamic nature presents special challenges to fire management and occupational welfare. High infrastructure concentration and stored inventory have increased fire risks with massive losses. Internet of Things (IoT) is a framework of multiple concurrent devices that are embedded and able to function for data transmission across the Internet. It consists of all world wide web-enabled devices responsible for gathering, transmitting and functioning on information extracted from the surrounding atmosphere by utilizing sensors, detectors and computing hardware. In industrial security and control, IoT plays a major role. This research work presents a new device capable of detecting fire and providing a warning to users. To monitor the integrated devices with several sensors and a cameras, the Raspberry Pi 3 has been used. The sensors continuously sense and actually begins to broadcast values over a Wi-Fi association to the online digital server. Whenever fire is sensed, the camera starts to record the image as well as the device starts to send the message with the affected spot images. Once the explosion is sensed by the fire transmitter, this will stimulate the smoke alarm and activate a sprinkler motor. For sensor information the database can be configured by the administrator and monitored anywhere.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127054893","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: 7

Virtual Machine based Hybrid Auto-Scaling for Large Scale Scientific Workflows in Cloud Computing 云计算中基于虚拟机的大规模科学工作流混合自动伸缩

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032507

V. K., S. D. Kumar

{"title":"Virtual Machine based Hybrid Auto-Scaling for Large Scale Scientific Workflows in Cloud Computing","authors":"V. K., S. D. Kumar","doi":"10.1109/I-SMAC47947.2019.9032507","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032507","url":null,"abstract":"Scheduling the Scientific Workflows (SWf) task onto ideal cost-effective resources in a distributed system remains a significant problem that demand for auto-scaling in a cloud computing environment. Even though cloud computing has considered as a quintessential platform for scientific users to perceive deadline constrained large-scale computations. However, complexity increases with dynamic increase in network size which makes mapping of resources a NP-hard problem. To overcome this situation, a novel hybrid auto-scaling strategy is proposed. The hybrid auto-scaling comprises of on-demand and spot instances pricing model for SWf computation under deadline and budget constraint. Many auto-scaling strategy have been proposed in the earlier works, but nevertheless, there is an ample scope for new auto-scaling strategy for efficient scheduling SWf in cloud environment. Moreover, hybrid auto-scaling approach for SWf considering spot and on-demand instances pose a challenge, since the approach has to estimate the proper amount and type of virtual machine instances to acquire and dynamically allocate the number of instances under spot or on-demand pricing model depending on the SWf need. A flexible hybrid auto scaling policy is proposed for scheduling SWf efficiently. Experimental results reveal the promising potential on the proposed algorithm with regard to minimization in makespan and cost of SWf under deadline and budget constraint in cloud environment.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115945969","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

Robotic Extension to IoT Testbed for Indoor Environment Supervision 机器人扩展到物联网试验台用于室内环境监测

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032498

Sasirekha Gvk, Sai Venketesh D, A. T, A. P, Jyotsna L. Bapat, D. Das

引用次数: 3

A Comparative Study on Machine Learning Algorithms for Predicting the Placement Information of Under Graduate Students 机器学习算法预测研究生就业信息的比较研究

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032654

Tadi Aravind, Bhimavarapu Sasidhar Reddy, S. Avinash, J. G

{"title":"A Comparative Study on Machine Learning Algorithms for Predicting the Placement Information of Under Graduate Students","authors":"Tadi Aravind, Bhimavarapu Sasidhar Reddy, S. Avinash, J. G","doi":"10.1109/I-SMAC47947.2019.9032654","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032654","url":null,"abstract":"As Machine Learning (ML) algorithms are becoming popular to solve challenging and interesting real world prediction problems around us, the interest level of student community has been increased in learning the principles of ML and its different algorithms. This includes by implementing the commonly known machine learning algorithms and tests them by solving simple prediction problems around the student community present in educational system. In this line, this paper proposes to solve the student placement prediction problem using linear regression model, K-neighbor regression model, decision tree regression model, XGBoost regression model, gradient boost regression model, light GBM regression model and random tree classifier model. This work is carried out in two phases. The Phase 1 is done on a simple data set and the Phase 2 is done with an extended data set with added additional features about the students. This research work presents the comparative performance analysis of these seven models by implementing them with these two data sets. The performance measurements considered in this study are prediction accuracy and the root mean square error (RMSE).","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116897855","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

Cryptograhy and Pk-Anonymization Methods for Secure Data Storage in Cloud 云中安全数据存储的加密和pk -匿名化方法

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032558

Nazma Sulthana Shaik, Gayatri Ketepalli, V. N. Reddy, T. K. Reddy

引用次数: 0

Digital Forensics: Maintaining Chain of Custody Using Blockchain 数字取证:使用区块链维护监管链

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032693

Mrunali Chopade, Sana Khan, Uzma Shaikh, R. Pawar

引用次数: 10

IoT Empowered Smart Cities in India 物联网助力印度智慧城市

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032674

Tarun Jaiswal, Manju Pandey, Priyanka Tripathi

引用次数: 0

Secured Multi Modal Biometric System : A Review 安全多模态生物识别系统:综述

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032628

P. Akulwar, Nataraj A. Vijapur

引用次数: 5

Reshaping IOT Through Blockchain 通过区块链重塑物联网

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032442

Melkamu Kerebh Kebede, S. Pani

{"title":"Reshaping IOT Through Blockchain","authors":"Melkamu Kerebh Kebede, S. Pani","doi":"10.1109/I-SMAC47947.2019.9032442","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032442","url":null,"abstract":"From the beginning of crypto currency in 2008, blockchain technology rise as progressive technology. Block chain technology was began as a core technology of bitcoin, but it is growing to numerous fields such as, security of Internet of Things (IoT), transport sector, robotics, smart energy, banking sector, industries, insurance, medical etc. Currently more businesses are moving through online system. The digitization of data can be carried through the centralization and decentralization process with higher protection. All the data can be stored through blocks with transaction history as block chain. Unfortunately, In a block chain the transaction can be simplified with peer-peer network that excludes the involvement of third party. Today as a world is going towards automation and smart objects internet of things(IoT) has gained popularity due to its usage in smart homes, smart farming, and smart city projects around world. Unfortunately, internet of things devices possess, low compatibility, high complexity, limited computing power, low security, low storage capability and network capacity therefore internet of things devices are more prone to attacks than other components such as phones, ipods, tablets, or PCs. This paper focus on identifying significant security and privacy issues for IoT, proposing anew IoT model through block chain technology and implementing the proposed model for solving IoT issues through block chain technology. Block chain technology can be a key empowering influence to take care of numerous IoT privacy and security issues. Finally describe the future work directions.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127452667","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