Volume 9 | Issue 11 |

 Abstract

Twitter, as a social network, is a very common medium to share thoughts and communicate with other people in the online world. Tweets collected in aggregate will represent public opinion about events. This paper gives an optimistic or negative feeling to Twitter posts using a well-known machine learning approach for text categorization. In addition, we use manually labeled (positive/negative) tweets to create a qualified system to perform a task. The task is looking for a correlation between twitter sentiment and events that have occurred. The qualified model is built on the classification system of Naive Bayes and Support Vector Machine(SVM). We also used external lexicons to detect arbitrary or objective tweets, added Unigram and Bigram features, and used TF-IDF (Term Frequency-Inverse Document Frequency) to filter out the features. We used the Twitter Streaming API and some of the official hash tags for mine, filter and process tweets to examine the public's view of unusual incidents. The same method can be used as a basis for forecasting future events. In the form of the twitter sentiment analysis, the most basic sentiment analysis quantifies the mood of a tweet or message by counting the number of positive and negative terms.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiments Analysis On SARS-Cov-2 Lockdown Strategy Using Machine Learning Techniques

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cloud computing is a type of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand. Cloud mashups are a recent trend; mashups combine services from multiple clouds into a single service or application, possibly with on-premises (client-side) data and services. This service composition lets CSPs offer new functionalities to clients at lower development costs. Today, cloud mashups require pre-established agreements among providers as well as the use of custom-built, tools that combine services through low-level, tightly controlled and constraining integration techniques. This approach to building new collaborative services does not support agility, flexibility, and openness. Our proposed framework for generic cloud collaboration allows clients and cloud applications to simultaneously use services from cloud and route data among multiple clouds. This framework supports universal and dynamic collaboration in a multi-cloud system. It lets clients simultaneously use services from multiple clouds without prior business agreements among cloud providers, and without adopting common standards and specifications.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Collaboration in Multicloud Computing Environments: Framework and Security Issues

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pneumonia and COVID-19, Convolutional Neural Network and Architecture, Deep Learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cloud computing means on-demand computer resources. like data storage, computing power,etc. Cloud Computing term is used to describe availability of data centers for many internet users. any hardware purchase by user is not needed. In addition to regulate costs on public clouds, it's essential to trace what's running, clear unused resources, and adapt the infrastructure to actual operating requirements. Cloud automation helps administrators monitor their environment and automatically adjust workloads as required. in 2019 market size of cloud services was valued $264 Approx., and predicted success in $927 Approx. by 2027. Cloud computing refers to the model or network where a program or applications run, which may be accessed by many devices or servers at a time. To run faster, better and cost-effectively most of the enterprises will shift towards cloud in 2020.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

cloud, cloud computing , DevOps, automation, cost-optimization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Identification of any peoples in any organization or colleges for the purpose of attendance marking is one such a software of face recognition. The use of Attendance Management System is to performs the regular activities of attendance marking and analysis with reduced human intervention. In this method the camera is settled and it will capture the image, the faces are recognize after that recognized along with the data base an deternally the attendance is marked. This system is depend on face detection and recognition concept, that detects the employees or student using web cam when they arrive in the office or class room and marks the attendance by recognizing.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face Recognition, Attendance Management System, Haar Cascade.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Military Status and Tracking System the Medium Military and Trail System allows soldiers to track the current state of the Army and monitor their health, such as temperature and heart rate. The system also includes additional features to help the military manually seek help and send distress messages to the military when needed. GSM modems send latitude and longitude positions in the link with the help of the military, which can track the current military status. This system is very helpful in getting medical information from the military and providing immediate medical care and rescue.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino Board, GPS, GSM modem, Distress signals, Encryption, Decryption. Arduino Mega, GPS, Soldier, Tracking, Heart- Rate Sensor, Temperature Sensor.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There are various Real-Time Locating Systems (RTLS) available in the market. Each type of RTLS is used for different business solutions, depending on its range. There is an RTLS that gives the highest precision than ever, that is UltraWide band (UWB) RTLS. The objective behind this research is to develop an RTLS system using Ultra-Wide band Technology which will monitor employees working in the Manufacturing industry.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

RTLS, UWB, Employees, Industry, Anchor, Tag

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Wireless sensor networks consist of spatially distributed sensor nodes to sensing, processing, and monitoring environmental parameters to reporting at the sink node (base station). Sensor nodes are transmitting data from the sensor node to the base station. Sensor nodes are measured data adaptively or dynamically using throttling techniques to reduce data and transmit it to the base station. In throttling data reduction technique threshold exceed data transmit from sensor nodes to sink node. In WSN minimize energy consumption using the data reduction throttling algorithm to reduce the size of data. Here, we proposed a Controlled Duty Cycle Scheme for minimizing energy consumption in a wireless sensor network. The controlled Duty Cycle Scheme is used for energy efficiency to increase routing fairness. The main goal of data reduction with the Controlled Duty Cycle techniqueis to increase the life of the Wireless sensor network by consuming minimum energy.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AUTOMATIC NUMBER PLATE RECOGNITION SYSTEM FOR VEHICLE IDENTIFICATION USING MACHINE LEARNING

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Moves/Activity Recognition, Message Alert, Arduino uno /IDE.

  License

Creative Commons Attribution 4.0 and The Open Definition