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 7 (Theme: Computers, Engineering and Technology)                            

AN IMPROVED CAT SWARM OPTIMIZATION TO FIND CLUSTER CENTER ON K-MEANS CLUSTERING ALGORITHM

Haryani, Dewi; Muslim, M. Aziz; Setyawati, Onny

AbstractOptimization of cluster center determination on K-Means clustering using Improved Cat Swarm Optimization Algorithm (ICSO) is a solution to overcome the weakness of K-Means clustering method. Since the determination of cluster center starting point is performed randomly, hence, data groupings also become less accurate. The researcher's proposed method is Improved Cat Swarm Optimization Algorithm to maximize cluster center determination on K-Means clustering, using iris classification datasets, breast cancer and wine taken from UCI Machine Learning Repository. 

 

DESIGN OF DC MOTOR SPEED CONTROL SYSTEM USING ARDUINO-BASED FUZZY LOGIC CONTROLLER

Ismail; Muslim, M. Aziz; Siswojo, Bambang

Abstract — One of the electrical machinery components that play an important role in industrial processes is drive system, in which DC motor is one of the most widely used component. In DC motor drive system, it is necessary to control the required motion required as well as maintaining the rotation speed as much as possible in accordance with the given reference (set point). In addition, the controller is also a useful component to suppress the error signal so that the desired performance can be obtained. This research designs system of DC motor rotation speed control using Arduino Mega 2560 microcontroller to fulfill control specification on laboratory scale control application and Fuzzy Control System as control system algorithm.

 

DESIGN OF FUZZY LOGIC CONTROL WITH TAKAGI-SUGENO INFERENCE ENGINE ON ANTI-LOCK BRAKING SYSTEM

Tahalele, Thony J.; Muslim, M. Aziz; Yudaningtyas, Erni 

Abstract - Anti-lock braking system (ABS) is an additional system on the vehicle which is intended to avoid wheels locking up under heavy braking. It works on the concept on when the speed sensor detects a wheel locking: the brake piston will be instructed to release the pressure back to its normal point, then restore the pressure once the wheel respins. The basic idea of ABS is to avoid vehicle from slipping and make it easy to control. From the control theory point of view, the goal is minimizing the slippage of a vehicle, minimizing the braking distance, or trying to keep both as low as possible.. 

 

The Moderating Effect of Website Reputation on the Relationship between eWOM Quality and Purchase Intention

Lisa Y. Chen, Yo Chen Chiang

Abstract-The effectiveness of eWOM has been shown to be particularly influential in the consumers’ judgments of products and purchase decision. Since mobile devices enable consumer to post and gather ratings and reviews about services and products in real-time, allowing them to share their experiences with others. Therefore, this study intends to verify the results by focusing on analyzing the impact of eWOM quality and website reputation on purchase intentions. Survey data was collected from 218 consumers. 



The Critical review of Internet of Things for Material Management in Construction Project

Sugam Sharma, Shantanu Daph Liladhar, Prof. Sameer Jain, Aman Mehra, Shreyas Raut


Abstract: Internet of things (IoT) aims to merge everything in our world under a common infrastructure, giving us control of things around and also keeping us informed of the state of the things. Internet of things is a vision towards future internet where a thing is provided with enough intelligence to communicate with each other without the human interfering with the help of devices such as smart phones, sensors, cameras, and Radio Frequency Identification (RFID), etc. It is possible to collect massive amounts of data for localization and tracking of people within commercial buildings such as Infrared (IR) sensors is used for the detection of the existence of the persons and it will count the people in the buildings entering.

Keywords – cat swarm optimization, clustering, cluster centroid, inertia weight, K-Means clustering

Keywords—Fuzzy Control System, Arduino, DC Motor, Speed Control

Keywords—fuzzy logic control, anti-lock braking system, boolean control, control system

KeywordseWOM quality; website reputation; purchase intention

Keywords —Internet of Things, Radio Frequency Identification, Infrared Sensor, Construction Project, Material Management

k-means-clustering.pdf
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fuzzy-control-system.pdf
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anti-lock-braking-system_2.pdf
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ewom-quality.pdf
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iot.pdf
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