mendeley

    The Impact of Artificial intelligence and Robotics on the Future Employment Opportunities

    DOI Logo 10.17352/tcsit.000022

    Published On: September 15, 2020 | Pages: 050 - 054

    Author(s): Kamran Shaukat*, Farhat Iqbal, Talha Mahboob Alam, Gagandeep Kaur Aujla, Abdul Ghaffar Khan, Rimsha Iqbal, Irum Shahzadi and Afifah Rubab
    The widespread human-robot interaction is increasing progressively as robots have made the life of everyone easy-going and comfortable. In this work, we have analysed the behaviour and characteristics of various types of robots. We have also studied the outgrowing relation between robotics and humans. In our analysis, we also have a selection of aspects of this field, ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos
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    mendeley

    Optimal integration of electric vehicles in smart grids with renewables and battery storage systems under uncertainty

    DOI Logo 10.17352/tcsit.000021

    Published On: September 01, 2020 | Pages: 048 - 049

    Author(s): Erfan Mohagheghi*, Joan Gubianes Gasso and Pu Li
    There has been a huge trend to integrate Renewable Energies (REs) and Electric Vehicles (EVs) into energy networks (Figure 1). This is mostly due to the shrinking price of their application and the increasingly strict emission policy. However, the integration of REs and EVs brings new challenges to the network operation [1]. For instance, a considerable amount of REs ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos
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    mendeley

    Real-Time Dynamic Optimal Power Flow in Electric Vehicles Considering the Lifetime of the Components in the E-Powertrain

    DOI Logo 10.17352/tcsit.000020

    Published On: September 01, 2020 | Pages: 046 - 047

    Author(s): Erfan Mohagheghi*, Joan Gubianes Gasso and Pu Li
    Different types of energy sources (e.g., batteries, supercapacitors, fuel cells) can be utilized in electric vehicles to store and provide energy in the e-powertrain through power electronic devices [1-6]. The lifetime of the components in the e-powertrain depends on their load profile [7,8]. For instance, the lifetime of a battery highly depends on the depth of disch ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos
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    mendeley

    Chance Constrained Optimization for Energy Management in Electric Vehicles

    DOI Logo 10.17352/tcsit.000019

    Published On: August 29, 2020 | Pages: 044 - 045

    Author(s): Erfan Mohagheghi*, Joan Gubianes Gasso, Abebe Geletu and Pu Li
    E-powertrain of future electric vehicles could consist of energy generation units (e.g., fuel cells and photovoltaic modules), energy storage systems (e.g., batteries and supercapacitors), energy conversion units (e.g., bidirectional DC/DC converters and DC/AC inverters) and an electric machine, which can work in both generating and motoring modes [1-6]. An energy man ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos
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    mendeley

    Optimal E-Powertrain Solutions for Future Electric Vehicles

    DOI Logo 10.17352/tcsit.000018

    Published On: August 29, 2020 | Pages: 042 - 043

    Author(s): Erfan Mohagheghi*, Joan Gubianes Gasso and Pu Li
    Owing to increasing emission specification, decreasing price of energy storage systems and power electronic devices, in addition to fast-developing technology, Electric Vehicles (EVs) will become a significant share of automotive market in the near future [1]. Therefore, there is a huge competition among car manufacturers to produce EVs. The final price and driving r ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos
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    mendeley

    A useful taxonomy for adversarial robustness of Neural Networks

    DOI Logo 10.17352/tcsit.000017

    Published On: August 05, 2020 | Pages: 037 - 041

    Author(s): Leslie N Smith*
    Adversarial attacks and defenses are currently active areas of research for the deep learning community. A recent review paper divided the defense approaches into three categories; gradient masking, robust optimization, and adversarial example detection. We divide gradient masking and robust optimization differently: (1) increasing intra-class compactness and inter-cl ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos
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    mendeley

    The increasing frequency of president donald trump’s social communications: Is there a limit?

    DOI Logo 10.17352/tcsit.000016

    Published On: July 28, 2020 | Pages: 034 - 036

    Author(s): Cynthia Whissell*
    Since he became president of the US in 2017, Donald Trump has been tweeting more and more frequently on a daily basis, to the point where both political analysts and the general public have begun to comment. In several cases, more than 100 tweets have been posted in a single day. The president has other means of communicating via social media but currently tweets post ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos
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    mendeley

    DyEnTRAM- Dynamically Enhanced Metadata based Approach for Bug Assignment

    DOI Logo 10.17352/tcsit.000015

    Published On: July 11, 2020 | Pages: 023 - 033

    Author(s): Asmita Yadav* and Sandeep Singh
    Background: In open source repositories, daily numerous bugs are reported and making manual triaging difficult as well as time consuming. Aim: In this paper, we proposed a Dynamically Enhanced Metadata based approach for bug assignment (DyEnTRAM). Unlike TRAM, that worked on additional metadata features which are selected by Feature Selection (FS) algorithms that em ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos
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    mendeley

    Energy trading systems on blockchain networks

    DOI Logo 10.17352/tcsit.000014

    Published On: July 07, 2020 | Pages: 018 - 022

    Author(s): Jae Geun Song and Ju Wook Jang*
    Traditional energy trading system has some weakness in terms of network attack. So blockchain is considered for P2P energy trading systems to evade network attacks. We consider three energy trading systems on blockchain which are centralized energy trading system with one producer, P2P energy trading system with DSO and P2P energy trading system with smart contract. A ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos
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    mendeley

    On a new algorithm for computing GCD of integer numbers

    DOI Logo 10.17352/tcsit.000013

    Published On: July 06, 2020 | Pages: 015 - 017

    Author(s): ST Ishmukhametov*, BG Mubarakov, RG Rubtsova and Al Khalidi Arkan Mohammed
    In the paper we give an introduction to a new algorithm counting the greatest common divisor (GCD) of natural integers called the approximating GCD algorithm introduced by S.Ishmukhametov in 2016. We compare it with the classical Euclidean GCD algorithm and the kary GCD algorithm in spirit of J. Sorenson and K. Weber and outline their advantages and disadvantages. ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos
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    mendeley

    Dual-nature biometric recognition epitome

    DOI Logo 10.17352/tcsit.000012

    Published On: June 23, 2020 | Pages: 008 - 014

    Author(s): Shahzad Ashraf* and Tauqeer Ahmed
    All humans are born with unique physically identified body characteristics to other persons which remains unchanged throughout life. These characteristics are taken into account by the emerging technology to get recognized from person to person. The technology used by the traditional human identification system sometimes becomes inefficient when data or images receive ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos
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    mendeley

    Creation of an artificial intelligence system for analysis of theoretical Current-Voltage Curves

    DOI Logo 10.17352/tcsit.000011

    Published On: June 19, 2020 | Pages: 005 - 007

    Author(s): AV Kovalenko* and MKh Urtenov
    We have developed the “Deep learning for CVC 0.1” software package, which contains databases and knowledge bases of theoretical Current-Voltage Curve (CVC) using the method of deep machine learning (Deep learning). The developed software package allows you to simulate mass transfer in Electromembrane Systems (EMS), which has a single interface with a built-in help sys ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos
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    mendeley

    Comparative analysis of speech coders

    DOI Logo 10.17352/tcsit.000010

    Published On: March 26, 2020 | Pages: 001 - 004

    Author(s): Ivo R Draganov*, Snejana G Pleshkova
    In this paper a comparative analysis of some of the most popular speech coders is presented. Qualitatively and quantitatively are tested Linear Prediction Coding in its implementation LPC-10e and with the use of auto-correlation and covariance, companding coding including A-law and µ-Law, ADPCM IMA, G.726 A- and µ-Law, and a fully featured MELP coder. All of them prov ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos
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