Author name: Somayeh Nosrati

Somayeh Nosrati was born in 1982 in Tehran. She holds a Master's degree in artificial intelligence from Khatam University of Tehran.

The impact of Facebook in teaching practicum: Teacher trainees’ perspectives

The impact of Facebook in teaching practicum: Teacher trainees’ perspectives

ABSTRACT Prompt feedback is one of the critical components of teacher education programs. To reap the greatest benefit from the teaching practicum process, the quality of feedback as well as […]

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Advanced Visualisation of Big Data for Agriculture as Part of Databio Development

Advanced visualization of Big Data for Agriculture as Part of Databio Development

Abstract There is an increasing tension in agriculture between the requirements to assure full safety on the one hand and keep costs under control on the other hand, both with

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De-identification and Privacy Issues on Bigdata Transformation

De-identification and Privacy Issues on Bigdata Transformation

Abstract As the number of data in various industries and government sectors is growing exponentially, the ‘7V’ concept of big data aims to create new value by indiscriminately collecting and

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A Two-Directional BigData Sorting Architecture on FPGAs

A Two-Directional BigData Sorting Architecture on FPGAs

Abstract Sorting is pivotal data analytics and becomes challenging with intensive computation on drastically growing data volume. Sorting on FPGA has shown superior throughput, but the limited in-system memory causes

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Multimodal Human Computer Interaction with MIDAS Intelligent Infokiosk

Multimodal Human Computer Interaction with MIDAS Intelligent Infokiosk

Abstract In this paper, we present an intelligent information kiosk called MIDAS (Multimodal Interactive-Dialogue Automaton for Self-service), including its hardware and software architecture, stages of deployment of speech recognition and

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Mining conditional functional dependency rules on big data

Mining conditional functional dependency rules on big data

Abstract Current Conditional Functional Dependency (CFD) discovery algorithms always need a well-prepared training dataset. This condition makes them difficult to apply on large and low-quality datasets. To handle the volume

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The big data analysis and mining of people's livelihood appeal based on time series modeling and algorithm

The big data analysis and mining of people’s livelihood appeal based on time series modeling and algorithm

Abstract In order to analyze the big data of people’s livelihood appeal, this paper proposes a time series modeling and algorithm to decompose the time series {x(t)} of data into

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Extending Automated Usability Evaluation Tools for Multimodal Input

Extending Automated Usability Evaluation Tools for Multimodal Input

Abstract In this work the following three basic research questions are discussed: (1) can significant effects of modality efficiency and input performance on the selection of input modalities in multimodal

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