International Journal of Advanced Studies in Computer Science and Engineering (IJASCSE)

                                                                                                                                                                                                   ISSN : 2278 7917 

Call For Papers

January 2019

  Submission         January 10

  Acceptance         January 20

  Publication          January 30

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International Journal of advanced studies in Computer Science and Engineering (IJASCSE) is here to provide a timely and broad coverage of research in ever-challenging field of Computer Science and Computer Science Engineering. IJASCSE is an interdisciplinary, peer reviewed, fully refereed, monthly, Open Access journal for research scholars with a mix of regular and theme based issues to share their new and advanced research in Computer Science and Engineering. 


The papers published at IJASCSE are currently Abstracted & Indexed by some world famous databases.

 Call For Papers

December  2018

     Submission            December 10

      Notification            December 20

      Publication            December 31

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Open Access Database


IJASCSE is an online peer reviewed quality publication, which publishes research papers from diverse fields in computers, sciences, engineering and technologies that emphasizes new research, development and their applications. It provides an open access database for all who are interested to exchange their research work, technical notes & surveying results among professionals through out the world.

 

 IJASCSE volume 6 issue 1 (Theme: Computers, Internet of Thnigs and Technology)                            

Auto-Extracting Method of Cognates Words in Arabic and English Languages
Hamad A. Alreshidi, Kawther A. Al-dhlan

AbstractFor a long time computers have been used for language teaching and learning. Unfortunately, little has been done in the field of computerized Arabic language teaching and learning. Furthermore, there is a lack of research into the impact of applying the knowledge of cognates (words similar in meaning and pronunciation) in an Arabic web-based learning system for English-speaking learners. This study investigates the effects of word cognates (words that have same pronunciation and meaning) used in Computer-Assisted Language Learning systems. In addition, it studies the enhancement of a language learning using Computer-Assisted Language Learning systems. 

 

Identification of Voice Utterance with Aging Factor Using the Method of MFCC Multichannel
Roy Rudolf Huizen, Jazi Eko Istiyanto, Agfianto Eko Putra

Abstract This research was conducted to develop a method to identify voice utterance. For voice utterance that encounters change caused by aging factor, with the interval of 10 to 25 years. The change of voice utterance influenced by aging factor might be extracted by MFCC (Mel Frequency Cepstrum Coefficient). However, the level of the compatibility of the feature may be dropped down to 55%. While the ones which do not encounter it may reach 95%. To improve the compatibility of the changing voice feature influenced by aging factor, then the method of the more specific feature extraction is developed: which is by separating the voice into several channels, suggested as MFCC multichannel.

 

Implementing Physical Capabilities for an Existing Chatbot by Using a Repurposed Animatronic to Synchronize Motor Positioning with Speech
Alex Johnson, Tyler Roush, Mitchell Fulton, Anthony Reese

Abstract - A chatbot is a type of computer program which contains the functionality for conducting conversations through auditory or textual means. These programs have recently shifted from the use of rule-based logic to more advanced use of artificial intelligence for carrying conversations [1]. Our project examined implementing physical capabilities for an existing chatbot by using a repurposed animatronic controlled by an Arduino micro controller. This project sought to synchronize motor positioning including eye and jaw movement with speech output from text provided through intelligent web APIs.

 

Improved Human Emotion Recognition Using Symmetry of Facial Key Points with Dihedral Group

Mehdi Ghayoumi, Arvind K Bansal

Abstract - This article describes how to deploy dihedral group theory to detect Facial Key Points (FKP) symmetry to recognize emotions. The method can be applied in many other areas which those have the same data texture.


Parallel implementation of a vehicle rail dynamical model for multi-core systems
Anas M. Al-Oraiqat

Abstract - This research presents a model of a complex dynamic object running on a multi-core system. Discretization and numerical integration for multibody models of vehicle rail elements in the vertical longitudinal plane fluctuations is considered. The implemented model and solution of the motion differential equations allow estimating the basic processes occurring in the system with various external influences. Hence the developed programming model can be used for performing analysis and comparing new vehicle designs.

Keywords – ognates; Arabic; English; languages; CALL.

Keywords—Multichannel, MFCC, filterbank, aging factor.

KeywordsChatbot, Robotics, Animatronic, Arduino, Speech
Synthesis, Cleverbot

Keywords - Emotion analysis, Facial expression, Facial key points, Geometric features, Dihedral group, Symmetry, Rotation, Reflection

Keywords— dynamic model; multi-core system; SMP system; rolling stock

cognates_words.pdf
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mfcc_multichannel.pdf
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chatbot_robotics.pdf
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human-emotion-recognition.pdf
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multicoresystems.pdf
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