2021 8th International Conference on Smart Computing and Communications (ICSCC)最新文献_第2页

Prediction of Turbidity in Beach Waves Using Nonlinear Autoregressive Neural Networks 用非线性自回归神经网络预测滩波浊度

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528261

Jhanavi Chaudhary, Harshita Puri, Rh Mantri, Kulkarni Rakshit Raghavendra, Kishore Bingi

引用次数: 2

Smart Buggy: An IoT Based Smart Surveillance Robotic Car Using Raspberry Pi 智能小车:基于物联网的智能监控机器人汽车使用树莓派

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528144

Safa Mohammed Sali, K. Joy

引用次数: 0

Reinforcement Learning Based Link Adaptation in 5G URLLC 基于强化学习的5G URLLC链路自适应

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528117

P. S, Jihas Khan, L. Jacob

{"title":"Reinforcement Learning Based Link Adaptation in 5G URLLC","authors":"P. S, Jihas Khan, L. Jacob","doi":"10.1109/ICSCC51209.2021.9528117","DOIUrl":"https://doi.org/10.1109/ICSCC51209.2021.9528117","url":null,"abstract":"Accurate link adaptation in 5G is a major challenge as it supports a wide range of services, including ultra-reliable low-latency communication (URLLC). URLLC has very strict latency and reliability constraints. The diverse and fast fading channel conditions result in channel quality indicator (CQI) feedback from user equipments (UEs) being outdated at the base station (BS). The CQI values are used at the BS to perform link adaptation by assigning optimal modulation and coding scheme (MCS) according to the reported CQI value. This results in the allocation of either a higher MCS value than required, which affects the reliability; or a lower MCS value than required, which affects the spectral efficiency and latency. Thus, there is a need for novel methods to perform the link adaptation in the case of URLLC. In this paper, we propose a reinforcement learning (RL) based intelligent link adaptation in a time-correlated and fast fading channel. The RL-based method can intelligently predict the future CQI values and accordingly allocate the MCS for data transmission. Here we use a contextual multi-armed bandit (MAB) algorithm for link adaptation. The proposed method is then compared with the baseline outer loop link adaptation (OLLA) method. Simulation results show that the RL-based method has better performance in terms of both reliability and spectral efficiency than the OLLA based scheme.","PeriodicalId":382982,"journal":{"name":"2021 8th International Conference on Smart Computing and Communications (ICSCC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125524093","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: 5

Impact of AMR-WB Codec on VoLTE Call Blocking in Cellular LTE Network AMR-WB编解码器对蜂窝LTE网络中VoLTE呼叫阻塞的影响

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528203

Mohan Kumar Dehury, H. K. Pati

引用次数: 0

IoT based smart waste management system 基于物联网的智能废物管理系统

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528293

Anagha Gopi, Jeslin Anna Jacob, Riya Mary Puthumana, Rizwana A K, K. S, Binu Manohar

{"title":"IoT based smart waste management system","authors":"Anagha Gopi, Jeslin Anna Jacob, Riya Mary Puthumana, Rizwana A K, K. S, Binu Manohar","doi":"10.1109/ICSCC51209.2021.9528293","DOIUrl":"https://doi.org/10.1109/ICSCC51209.2021.9528293","url":null,"abstract":"Urban India generates tonnes of wastes annually. Our country faces major challenges associated with waste management. Conventional garbage collection is not efficient since the authorities are not notified until the waste bin is full, and this leads to overflow of waste material. Efficient way of waste disposal and collection of disposed garbage is essential for a sustainable and clean India. This paper presents smart waste management using IoT based waste bin for collection and monitoring the level of waste inside bin. The system is implemented using two ultrasonic sensors which is being controlled by Node MCU. One of the ultrasonic sensor detects the level of the waste in the bin and other detects the person approaching the bin to dispose the waste. This detection helps in automatic opening and closing of the lid. Servo motor is connected to the lid which serves the action of closing and opening of the lid. In this system, level of waste in the bin will be sent to concerned authorities. The IoT data is stored and monitored using Blynk app. The proposed system is reliable, cost effective and can be easily implemented.","PeriodicalId":382982,"journal":{"name":"2021 8th International Conference on Smart Computing and Communications (ICSCC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122698401","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 Secured Data Sharing using Ciphertext Policy Attribute Based Encryption in Cloud 云环境下基于密文策略属性加密的安全数据共享研究

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528198

G. A. Thushara, S. M. Bhanu

{"title":"A Survey on Secured Data Sharing using Ciphertext Policy Attribute Based Encryption in Cloud","authors":"G. A. Thushara, S. M. Bhanu","doi":"10.1109/ICSCC51209.2021.9528198","DOIUrl":"https://doi.org/10.1109/ICSCC51209.2021.9528198","url":null,"abstract":"Cloud computing facilitates the access of applications and data from any location by using any device with an internet connection. It enables multiple applications and users to access the same data resources. Cloud based information sharing is a technique that allows researchers to communicate and collaborate, that leads to major new developments in the field. It also enables users to access data over the cloud easily and conveniently. Privacy, authenticity and confidentiality are the three main challenges while sharing data in cloud. There are many methods which support secure data sharing in cloud environment such as Attribute Based Encryption(ABE), Role Based Encryption, Hierarchical Based Encryption, and Identity Based Encryption. ABE provides secure access control mechanisms for integrity. It is classified as Key Policy Attribute Based Encryption(KP-ABE) and Ciphertext Policy Attribute Based Encryption(CP-ABE) based on access policy integration. In KPABE, access structure is incorporated with user’s private key, and data are encrypted over a defined attributes. Moreover, in CPABE, access structure is embedded with ciphertext. This paper reviews CP-ABE methods that have been developed so far for achieving secured data sharing in cloud environment.","PeriodicalId":382982,"journal":{"name":"2021 8th International Conference on Smart Computing and Communications (ICSCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131122723","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

Portable Solar PV based Water Purification System for Subcontinent Conditions 用于次大陆的便携式太阳能光伏水净化系统

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528171

Sangari A, Sivamani D, A. J, J. K., N. A, K. J.

引用次数: 1

Smart Surveillance System using Deep Learning and RaspberryPi 使用深度学习和树莓派的智能监控系统

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528194

Kshitij Patel, Meet Patel

{"title":"Smart Surveillance System using Deep Learning and RaspberryPi","authors":"Kshitij Patel, Meet Patel","doi":"10.1109/ICSCC51209.2021.9528194","DOIUrl":"https://doi.org/10.1109/ICSCC51209.2021.9528194","url":null,"abstract":"Today, in the technological era of the 21st century, CCTV cameras have been proven to be very fruitful in our daily lives. From monitoring the baby in the bassinet to prevent some crimes, CCTV camera has become of vital importance. We as humans, always try to make things perfect around us. Using this article, we also have attempted to present our perspective to make these CCTV cameras more perfect. We have made an effort to enhance regular CCTV cameras using the vast field of deep learning and IoT. We have attempted to accomplish our goal by providing a protoStype for the smart surveillance system. We have tried to upgrade the regular CCTV cameras with some customized deep learning models developed by us. In this modified version, we have given the CCTV cameras the ability to detect fire and weapons. Also, we have tried to fulfil an ad-hoc requirement of Face Mask Detection considering the current situation of COVID19. For fulfilling our objective, we have provided an outline combining IoT (RaspberryPi) to deep learning using AWS EC2 Cloud Architecture. To make the surveillance system user-friendly, we have also taken account of the client-side interface. Considering all the above applications, we have successfully provided an archetype in this paper.","PeriodicalId":382982,"journal":{"name":"2021 8th International Conference on Smart Computing and Communications (ICSCC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133729578","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

[ICSCC 2021 Front matter] [ICSCC 2021前沿事项]

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/icscc51209.2021.9528224

引用次数: 0

A Comparative Study of Deep Learning-based Depth Estimation Approaches: Application to Smart Mobility 基于深度学习的深度估计方法的比较研究:在智能交通中的应用

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528220

A. Mauri, R. Khemmar, B. Decoux, Tahar Benmoumen, Madjid Haddad, R. Boutteau

引用次数: 1