2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)最新文献_第4页

Arduino based Automated Viscometer for Oil Health Monitoring 基于Arduino的油品健康监测自动粘度计

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-SMAC49090.2020.9243310

A. Srinivasan, Sharavanee D P, S. P, Surendran S, Suryaprakash S, Jino Hans W

{"title":"Arduino based Automated Viscometer for Oil Health Monitoring","authors":"A. Srinivasan, Sharavanee D P, S. P, Surendran S, Suryaprakash S, Jino Hans W","doi":"10.1109/I-SMAC49090.2020.9243310","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243310","url":null,"abstract":"Engine oil is a vital factor in the efficient functioning of any automobile. It acts as a lubricant to reduce friction between the mechanical parts and also keeps the engine cool by dissipating the heat. During this process, parameters such as viscosity of oil changes. Engine oil is changed at regular intervals of time without checking its quality. This can lead to wastage as the real health of engine oil during an oil change is unknown. This paper discusses an efficient way to monitor the health of the engine to minimize the wastage. By adapting the traditional falling ball method of measuring the viscosity of a liquid, an in situ miniaturized prototype is fabricated. The prototype consists of a narrow and hollow cylindrical tube with slits to allow the movement of oil through it. At the floor of the tube, two sensory electrodes are placed and at the top, an electromagnet attached. A steel ball is placed inside the tube and is made to move freely. The whole setup is attached to a servo motor and is controlled by an Arduino Nano. With this prototype, the average fall time of the ball through the oil is calculated and viscosity is found using the Stokes Law.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"2 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":"123882897","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

Micro Grid based Low Price Residential Home to Grid - Modeling and Control of Power Management System 基于微电网的低价住宅并网——电力管理系统的建模与控制

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-SMAC49090.2020.9243351

M. Ramkumar, A. Amudha, M. Sivaramkrishnan., S. Divyapriya, P. Nagaveni, G. Emayavaramban, V. Mansoor

引用次数: 12

Low Cost Voltage and Current Measurement Technique using ATmega328p 使用ATmega328p的低成本电压和电流测量技术

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-SMAC49090.2020.9243404

Fahad Faisal, Asif Karim, Md. Zahid Hasan, Bharanidharan Shanmugam, Muntasir Mahdi, Nazmun Nessa Moon

引用次数: 3

Machine Learning Systems for Detecting Schizophrenia 用于检测精神分裂症的机器学习系统

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-SMAC49090.2020.9243597

N. V. Swati, I. M

引用次数: 4

Effectiveness of Word of Mouth Communication: Receiver Perspectives 口碑传播的有效性:受众视角

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-SMAC49090.2020.9243575

M. Vasan

引用次数: 1

Secure Log Scheme for Cloud Forensics 云取证安全日志方案

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-SMAC49090.2020.9243428

Shweta Joshi, Geetha R. Chillarge

{"title":"Secure Log Scheme for Cloud Forensics","authors":"Shweta Joshi, Geetha R. Chillarge","doi":"10.1109/I-SMAC49090.2020.9243428","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243428","url":null,"abstract":"Nowadays organization use the cloud infrastructure to store data as no local setup needed in the user system. To retrieve files from the cloud, the user needs internet service. When the internet comes into the picture, a lot of attacks happens on the cloud, and to detect & prevent those attacks, cloud forensics is used. Secure user log file on the cloud is also important as the cloud log contains valuable information which helps in forensics investigation. Previously designed logging systems have some drawbacks for providing security to the cloud user. The existing system provides security on user files which is uploaded by the user or they provide login authentication of the user. In this secure logging, the scheme is provided by encrypting cloud logs (sensitive information of the user) using encryption techniques and it identifies DDoS (distributed denial of service) assault on the cloud framework. It is distinguished through investigating accessible cloud logs in the cloud server. Encryption algorithms will be utilized to build the security of the logging system and to keep up secrecy and protection of client information.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"77 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":"122614250","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

Microcontroller based Automatic Sun Tracking Solar Panel 基于单片机的自动太阳跟踪太阳能电池板

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-SMAC49090.2020.9243386

G. Ali, Aqeel Luaibi

引用次数: 2

PACELC: Enchantment multi-dimension TensorFlow for value creation through Big Data PACELC:赋能多维TensorFlow，通过大数据创造价值

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-SMAC49090.2020.9243592

A. Yasmin, S. Kamalakkannan

{"title":"PACELC: Enchantment multi-dimension TensorFlow for value creation through Big Data","authors":"A. Yasmin, S. Kamalakkannan","doi":"10.1109/I-SMAC49090.2020.9243592","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243592","url":null,"abstract":"New online mode learns more about different kinetic models. Frequency algorithm reduces the loss function, which directly compensates for the error between the required and the actual acceleration. It allows the use of green acceleration principles such as speed accelerators and TensorFlow as a helper function of the robot mode. The use of direct loss eliminates the problem of learning outside the scope of indirect loss programs, usually in their current state. The power of re-learning creates a trend online tip according to standard non-linear parameters updating and updating online can correct frequency varied operating error during big data real-world generation. JEDEC reduced the machine learning sequence by a combined multi-dimension robust management robust study is planned for future tasks. This paper describes the operation and control of the controller for analytical, there is a clear link between the size of the compressor, the vibration level and the lens pool, learning new machine learning tools. In particular, JEDEC(Joint Electron Device Engineering Council) would like to use relational PACELC(Partition exists for Availability/consistency Else Latency/consistency) theoretical analysis to obtain the same summary and intensity The results of frequency case will also focus on increasing demand Important task balance, especially Restore model other types of contractions, as well as the connection between this reduced style adapter control and the learned control style multi-dimensions in sushisen algorithm using reduces these updates Deep Lanning Networks. Therefore, BDA data Partitioning helps to reduce the complexity of the calculation in the learning process and classification of data storage.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"57 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":"128019081","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

Monitoring Smart Devices for Personal Health Care Using Deep Analytics 使用深度分析监测个人医疗保健智能设备

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-SMAC49090.2020.9243413

K. Tharageswari, D.Selva Pandian, Laxmi Raja, R. Dhanapal

引用次数: 0

Non-cryptographic Approaches for Collaborative Social Network Data Publishing - A Survey 协作社会网络数据发布的非加密方法——综述

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-SMAC49090.2020.9243431

Komal P. Kansara, Bintu Kadhiwala

{"title":"Non-cryptographic Approaches for Collaborative Social Network Data Publishing - A Survey","authors":"Komal P. Kansara, Bintu Kadhiwala","doi":"10.1109/I-SMAC49090.2020.9243431","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243431","url":null,"abstract":"In today's world, trillions of persons are providing their data to social network data provider for connecting, interacting and data sharing with other users. The data provider may utilize these collected data for analysis purpose. Alternatively, multiple data providers prefer collaboration to attain enhanced analysis outcomes from the collected collaborated data. For such collaboration, the data providers do not share their data directly due to privacy issues instead they share the collected data with the trusted data publisher. The data publisher combines these collected data and subsequently publishes the data. Data collected at trusted data publisher site from multiple providers contain individuals' information that may be sensitive. Hence, the privacy of individuals may be compromised if it is published by the publisher in its original form. As a consequence, in literature, various non-cryptographic approaches are discussed for privacy-preserving collaborative social network data publishing. The motive of this paper is to emphasize the evaluation of these existing approaches with the help of different parameters.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"30 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":"115534699","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