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 04                           

 

A Survey of Different Task Scheduling Algorithm in Cloud Computing

Mayank Sohani, Saniya Jain, Ishita Narang, Kaushal Agarwal, Saahil Arora

Abstract- Cloud computing is one of the latest technological buzzword doing round in business worlds these days. Thus to have the knowledge of cloud computing is an obligation of late. Cloud gives suitable and on desired network access for computing resources that are available on the Internet. Tasks sent to cloud environment needs to be operated on time to get proper utilisation of resources and to get maximum efficiency and minimum makespan. 

 

Big Data in Cloud Computing: An Analysis of Issues and Challenges

Md. Golam Morshed, Ling Yuan

Abstract— Cloud computing is becoming popular because of its processing power and service application reliability. It has reduced the necessity of maintaining large scale of expensive hardware, software and also storage space. But with the increase of users, mobile devices, social media services and also Internet of Things (IoT) data is also becoming huge day by day. So cloud service providers are now thinking about the management and processing of these large amount data which are generating at a tremendous rate. 

 

Digital Controller Design to Mitigate Chaotic Vibrations In Magnetic Levitation System

Muhammad Nouman, Manahil Zulfiqar, Yusra Zaheer Lodhi, Muhammad Wajahat

Abstract - This article presents digital control algorithm to quench the chaotic behavior in nonlinear magnetic levitation system. The system dynamic modeling is reviewed. Results of the open loop system behavior are summarized. A digital control algorithm is proposed and closed loop system is simulated and analyzed using its state trajectories. The proposed control algorithm is simpler in structure, has optimized convergence time, eliminates the chaotic behavior of system and allows the system to synchronize with an external reference signal.


Effects of Micro-Location-Based Services on User Satisfaction and Intention to Use

lLisa Y Chen, Tzi-Ling Cho

AbstractThis project’s goal is to explore facial recognition, and expands upon turning a Telepresence robot into an autonomous one. We will use Smerk/GPUImage for the detection of the face, OpenCV for the recognition of the face, AV Capture for video capturing, and Double Robot SDK for the control of the robot. With these technologies, the robot will be able to detect a face, grab training frames, process the training frames, and setup a recognition and compare it against new input/faces, to either move towards the face it knows, or park for the face it does not know.


Facial Recognition with the Double Robot

Samantha Glass, Juleyn Arnold, James Spahlinger, Kevin Coulman

Abstract- This project’s goal is to explore facial recognition, and expands upon turning a Telepresence robot into an autonomous one. We will use Smerk/GPUImage for the detection of the face, OpenCV for the recognition of the face, AV Capture for video capturing, and Double Robot SDK for the control of the robot. With these technologies, the robot will be able to detect a face, grab training frames, process the training frames, and setup a recognition and compare it against new input/faces, to either move towards the face it knows, or park for the face it does not know. 

Keywords- Cloud Computing, makespan, Scheduling algorithms, Task scheduling

Keywords-Big Data, Cloud compting, Management of data

KeywordsRiccati-Sylvester transformation; 3-DoF-gimbal; stabilizing plateform; Rapid Control Prototyping; adaptive control

Keywords— micro-location-based services; user satisfaction,; intention to use; technology acceptance model

Keywords- Double Robotics; Facial Recognition; Autonomous Robot; Smerk

cloudcomputing_1.pdf
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bigdata.pdf
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mitigatechaoticvibrations.pdf
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microlocationbasedservices.pdf
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facialrecognition.pdf
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