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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 65 Documents
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Search results for , issue "Vol 17, No 1: January 2020" : 65 Documents clear
Course recommendation system using fuzzy logic approach Mohd Suffian Sulaiman; Amylia Ahamad Tamizi; Mohd Razif Shamsudin; Azri Azmi
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp365-371

Abstract

Course selection is a key for success in student’s academic path. In today’s education environment, various courses offered by different academic institutions required the students to explore the course outline manually. Most of them are lacking in knowledge, having dilemma and making blind selections to choose the right course. Therefore, it is essential to have a course recommendation to provide guidance to a student to choose the course related with their interest and skill. This paper proposed to develop a course recommendation system using fuzzy logic approach. The development methodology of this system involves several phases include requirements planning, user design and construction for prototyping, testing and cutover. This study used the fuzzy rules technique in order to calculate each associated student’s skill and interest level based on Mamdani fuzzy inference system method. Then, the rules will generate final outcome which recommend the suitable course path and provide the details to a user based on their course test. The result shows the functionality of this system has been achieved and works well. This study is significantly helping the students to choose their course based on the interest and skill.
A new kind of parameter conjugate gradient for unconstrained optimization Basim Abbas Hassan; Hussein O. Dahawi; Azzam S. Younus
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp404-411

Abstract

In this paper, a replacement new parameter conjugate gradient  for unconstrained optimization. The sufficient descent property cleave to. The global convergence property of the new method is proved under some assumptions. Numerical results explain that the  new parameter is superior  in practice. 
Spectrum sensing and energy detection in cognitive networks Mohammed Ayad Saad; Mustafa S. T; Mohammed Hussein Ali; M. M. Hashim; Mahamod Bin Ismail; Adnan H. Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp464-471

Abstract

It is worth mentioning that the use of wireless systems has been increased in recent years and supposed to highly increase in the few coming years because of the increasing demands of wireless applications such as mobile phones, Internet of Things (IoT), wireless sensors networks (WSNs), mobile applications and tablets. The scarcity of spectrum needs to be into consideration when designing a wireless system specially to answer the two following questions; how to use efficiently the spectrum available for the available networks in sharing process and how to increase the throughput delivered to the serving users. The spectrum sharing between several types of wireless networks where networks are called cognitive networks is used to let networks cooperate with each other by borrowing some spectrum bands between them especially when there is an extra band that is not used. In this project, the simulation of spectrum sensing and sharing in cognitive networks is performed between two cognitive networks. This project discusses the performance of probability of energy detected (Pd) with different values of false alarm (Pf) and Signal-To-Noise Ratio (SNR) values to evaluate the performance of the sensing and sharing process in cognitive networks. The results show that when the request of sharing spectrum increased, the full sharing process occurs for a long time and the error rate decreases for small values of SNR.
RF energy harvesting prototype operating on multiple frequency bands with advanced power management Manee Sangaran Diagarajan; Agileswari Ramasamy; Navaamsini Boopalan; Norashidah Bt. Md Din
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp70-77

Abstract

Radio Frequency (RF) harvesting seems to be catching up as an alternate energy source whereby RF energy is scavenged from ambient sources and converted into renewable energy in terms of DC power. This converted DC power is then utilized to power up devices that require a low start up power in which eliminates the need for battery replacement. In this paper, a novel RF energy harvesting prototype is presented which consists of two microstrip patch antennas operating on GSM (900MHz) and WIFI (2.4GHz) & WiMAX (2.3GHz) frequency bands with a bandwidth of 220MHz and 10.11MHz respectively to harvest RF signals from ambience. Two matching networks are presented as well to ensure efficient power transfer to load. Rectifiers are designed to transform the RF signals to DC power. The converted DC signals are then combined and fed to a power management circuit which charges a 4.2V NiMh battery and drives a load at a regulated output of 3V.
Advanced gas leakage, fire and power supply failure monitoring system Amirul Asraf Roslan; Rahimi Baharom
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp222-227

Abstract

Safety system such as smoke detector and fire alarm are considered to be a counter measure for fire accident. This safety system is important as it acts as a security measure against fire accident which could lead to death and destruction of properties. This paper propose an advanced gas leakage, fire and power supply failure monitoring system with Arduino UNO and GSM Module as its embedded system. Among the features of this system are their ability to detect the presence of smoke, gases and power failure at homes and factories, then the system will send a text message using Short Message Service (SMS) to the registered mobile number via GSM Module informing the user the situation and location of the incident. As a result, the user or person in charge can respond to the emergency situation accordingly and alert the fire departments or relevant authorities in time. This system could help the user to transform the way they protect their property and critical infrastructure. Successful safety and security transformation requires a combination of end user structural and operational changes as well as technology evolution enablement. This is in line with the Fourth Industrial Revolution (known as IR4.0), that propose substantial increase in the deployment of sensors for collecting, processing, and communicating measurement data in real time in order to diverse working environments, thus, resulting in advancement and convergence of technologies.

Page 7 of 7 | Total Record : 65

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