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

Bookmark and Share

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

Bookmark and Share

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 5 (Theme: Computers, IoT and Technology)                            

Association Rule Mining Technique with Optimized FP-Tree Algorithm 

Ling Yuan, Wasan Itwee, and Shikang Wei

AbstractIn the optimized FP-Tree, we extract FIs without generating the conditional FP-Tree. At the same time, we can see the frequency of each item from frequency head table, and know the Root of each item from new tree, additionally reduce the branch of the tree, where each root has the real son without repeat. The process that we follow reduces the gross strides of the execution, and as well takes minimal time and size. Of course, efficient than the FP-Tree depend on procedures, we decrease the cost of time and storage space, especially in large DB and mining long patterns. 

 


Automatic Text Independent Amharic Language Speaker Recognition in Noisy Environment Using Hybrid Approaches of LPCC, MFCC and GFCC

Abrham Debasu Mengistu

Abstract Speaker recognition refers to the automated method of identifying the identity of an individual based on verbal communication. This paper presents an automatic text-independent speaker identification system for the Amharic language in noisy environments. VQ (vector quantization), GMM (Gaussian Mixture Models) and a combination of GMM and (BPNN) Backpropagation Artificial neural network had been as techniques for speaker recognition.

 

Driver’s State Alert Function by Using Facial Expression Classification in Cooperation with Artificial Intelligence 

Masahiro MIYAJI

Abstract - —Driver’s non-normal psychosomatic states such as drowsiness and anger may cause severe traffic accidents. Driver’s psychosomatic state adaptive driving support safety function may play important role to prevent being involved in a traffic accident. Therefore, detection technology of both drowsiness and anger is highly expected to enhance performance of the safety function. When driver’s psychosomatic state adaptive driving support safety function detects driver’s non-normal states in cooperation with artificial intelligence, the safety system delivers notice or alert of imminent risk of a traffic accident to a driver to prevent being involved in traffic accident in advance. 


Learner engagement analysis: a multi-scale visualization of heterogeneous traces

Ibrahim Ahmed Ibrahim Ghashim

Abstract - Many researches in the field of learning analytics provides statistical indicators such as the duration or the number of actions carried out on the tools or the resources used. These indicators generally support the monitoring and reflexivity of the learner's activities by returning information on the use of each tool and resource. But e-learning contexts are becoming increasingly complex, allowing the use of varied resources. In these new contexts, the activity of the learner becomes "heterogeneous" (with several tools and types of documents), and "discrete" (interrupted by the actions on each tool or document). 

 

Lisa Y. Chen

Abstract-The emergence of cloud computing services has driven fundamental changes in IT services, and such services are exploding in popularity throughout the world. Cloud computing services enable user access to a range of technologies and applications by increasing business agility and reducing the cost and complexity of providing IT, which in turn improves business efficiency. However, the use of cloud computing services remains limited and has also raised security risks. Thus, this study intends to explore the determinants of user intention and organizational performance in cloud computing services. 

Keywords – FP-Tree, Optimized FP-Tree, frequent pattern, frequent item set, Association rules

KeywordsANN, VQ, GMM, MFCC, GFCC and LPCC.

Keywords—Driver’s psychosomatic state, drowsiness, anger, driving support safety system, artificial intelligence, facial expression, Kohonen neural network, autonomous driving

Keywords—component; Learning Analytics; Visual Analytics, commitment; adaptation; visualisation; multi-scale; heterogeneous traces

Keywords—cloud computing services; perceived risk; perceived trust; technology acceptance model

fp-tree.pdf
To download Click on PDF logo
lpcc_mfcc_gfcc.pdf
To download Click on PDF logo
learning_analytics.pdf
To download Click on PDF logo
cloud_computing_services_1.pdf
To download Click on PDF logo