cover
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
,
INDONESIA
Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
ISSN : 20893272     EISSN : -     DOI : -
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is a peer reviewed International Journal in English published four issues per year (March, June, September and December). The aim of Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of electrical engineering. Its scope encompasses the engineering of Telecommunication and Information Technology, Applied Computing & Computer, Instrumentation & Control, Electrical (Power), Electronics, and Informatics.
Arjuna Subject : -
Articles 12 Documents
Search results for , issue "Vol 6, No 2: June 2018" : 12 Documents clear
Controller Design for Electric Motor Derived Vehicle Nitin Kumar Saxena; Sirak Gebrehiwot; Degu Mena
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 6, No 2: June 2018
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v6i2.282

Abstract

In this paper, proportional and integral based controller is designed for controlling the output voltage of battery. This battery is used for operating an electric motor derived vehicle. It has been represented that without any control mechanism the output voltage cannot be controlled and it will give a large deviation in output voltage in terms of error signal and that will decline the battery output current as a result battery power output will reduce and therefore the performance of electric motor derive vehicle will go down in terms of power and torque to derive vehicle. So, it is mandatory to maintain the output voltage of the battery and that can be achieved by a proper feedback control system. A PI based controller is designed and implemented for this electric motor derived vehicle in the present paper. Paper demonstrates how the results improve in presence of controller circuit for this electric motor derived vehicle.
Determining Growing Season of Potatoes Based on Rainfall Prediction Result Using System Dynamics Ida Wahyuni; Philip Faster Eka Adipraja; Wayan Firdaus Mahmudy
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 6, No 2: June 2018
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v6i2.315

Abstract

Potato has been and is a basic food for many countries. However, because of the uncertainty in rainfall patterns that have occurred since the existence of climate change make a significant impact on the outcome of potatoes production from year to year. Therefore, it needs the determination of new growing season period according to climate change. The determination of growing season is based on the result of rainfall prediction data using system dynamics ever done in previous studies to predictions of rainfall during the next five years starting in 2017-2021. Based on the modeling that has been done shows that early dry season ranges in mid-April to mid-May by the length of days in the growing season ranges from 162-192 days. The growing season prediction model has small error only about two dasarian. By the middle of the dry season, rainfall is expected to be very low which will make the potatoes into water deficit and will affect the harvest of potatoes plants which can be overcome with the irrigation system.
Target Network Selection Algorithm based on Required Dwell Time Estimation Jyoti Verma; Sunanda Gupta; Pratima Manhas; Vasudha Arora
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 6, No 2: June 2018
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v6i2.382

Abstract

In wireless communication of fourth generation the expectation to integrate a diverse heterogeneous wireless network leads to a worldwide seamless mobility. For seamless mobility in heterogenous wireless networks, selection of best target network from available network is primary goal for handovers. To achieve this goal, we devise a target network selection algorithm to enhance the user satisfaction level.The method relies on a dwell time and prediction of received signal strength. By observing the Predicted received signal strength for a specified dwell time duration, a mobile node is able to decide whether to tigger the handoff process or not. Once the handoff process is triggered. Target network is selected depending upon a cost function. The Simulated results shows that, the proposed algorithm improves the handover performance by measuring the received signal strength accurately. It also selects the optimum target network quantitatively. Therefore, results obtained through our proposed algorithm are more accurate as compared to existing handover algorithms.
Evaluation of Power Management Strategy for Renewable Microgrid System Krishan Kumar; M. A. Ansari
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 6, No 2: June 2018
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v6i2.452

Abstract

This paper presents the evaluation and control of renewable energy sources based micro-grid system having solar photovoltaic, wind turbine generator, fuel cell and diesel engine generator. A battery storage system has also been installed to provide unintrupted power supply and to store excess power. The proposed micro-grid system is simulated on Matlab/Simulink software and the performance has been analysied with two cases considering different environmental conditions to check the optimal performance of the system. In the first case, the solar photovoltaic, fuel cell, diesel engine generator and battery storage system has been considered and in the second case, the solar photovoltaic source is replaced by the wind turbines. For both the cases, simulation has been done for 300 seconds to findout the optimal fulfilment of the demand. The time domain analysis has been done by varying the solar irradiance and wind speed in respective cases to check the system performance. This work shows the efficient control of various distributed energy resources in the micro-grid system and meeting the load demand efficiently.
Deep Neural Network for Heart Disease Medical Prescription Expert System Majzoob K. Omer; Osama E. Sheta; Mohamed S. Adrees; Deris Stiawan; Munawar A Riyadi; Rahmat Budiarto
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 6, No 2: June 2018
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v6i2.456

Abstract

One of the most common causes of death is Ischaemic heart disease (IHD). Clinical decisions are often made based on doctors’ intuition and experience rather than on the knowledge-rich data hidden in the database, which leads to unwanted errors and excessive medical costs that affects the quality of service provided to patients. On the other hand, there is lack of cardiologist and IHD specialist in developing countries. Therefore, the development of an expert system that improves the diagnostic and therapeutic decision model of IHD creates a universal need. The expert system is developed based on the cardiologist expertises in diagnosing IHD symtomps and the given prescriptions. This work attempts to increase the accuracy and the effectiveness of the expert system to treat IHD patient by leveraging deep neural networks and adopting deep learning strategy for Retristic Boltzman Machine (RBM). The deep neural network in this work has 152 neurons in the input layer, 52 neurons in the output layer, and 4 hidden layer. Experimental results show that the proposed system achieves up to 0.00974 error level in the training sessions and average improvement of 0.7322% in term of accuracy compared to expert system with standard machine learning in the testing phase. Some results that have discrepancies are consulted to the cardiologist to confirm the results.
Enzyme-Based Biosensors for Electrochemical Detection of Pesticides–A Mini Review Keamou M. Soropogui; Ahmad T. Jameel; Wan Wardatul A. W. Salim
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 6, No 2: June 2018
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v6i2.465

Abstract

Despite their important contribution in increasing crops production, most pesticides are harmful to humans and living beings and can persist in the environment over long a long duration. Traditional chromatographic methods of analysis are expensive and cumbersome. Biosensor technology appears therefore as an efficient and economical alternative for fast detection of pesticides. The devices are portable, rapid, and highly sensitive. Other important features of the devices are their relatively high sensistivity and low response time. Enzymatic biosensors for pesticide detection rely either on the inhibition mechanism or on the catalytic activity of the immobilized enzyme toward a specific pesticide. Metal and carbon based nanomaterials are being widely used as immobilization support owing to novel characteristics such as biocompatibility and enhanced electron transfer ability for sensitive electrochemical detection, among others. This review focusses on the electrochemical detection of organophosphorus pesticides, delineating the limit of detection and response time of biosensors toward a wide range of organophosphorus pesticides.
A Novel Approach of Controlling the Solar PV Integrated Hybrid Multilevel Inverter Sunita Kumari; Sudhir Y. Kumar
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 6, No 2: June 2018
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v6i2.354

Abstract

The part of renewable energy systems like solar photovoltaic (PV) and wind power generation (WPG) is playing an energetic role in energy production. The power electronics technology growths have directed to the progresses in the solar power generation and solar PV sources have the potential to progress one of the key providers to the upcoming electricity. Lower voltage rating of solar PV systems requires a high voltage progress converter for parts grid associating with a DC-AC inverter. The solar energy acquired from the solar panel varies with times and solar irradiation. The boost DC/DC converter is used to sustain the constant output voltage achieved from the solar panel using MPPT algorithm and is operated according to the requirement. A 1-Ф cascade 13-level inverter is used to produce 13-level output voltage from the DC supply voltage achieved from PV panels. It offers better-quality sinusoidal output voltage and current waveforms and lower total harmonic distortion. In this paper, the proposed model is designed and the results are verified through simulation using MATLAB/SIMULINK tools
A Multi-element Microstrip Antenna for LTE Bands, Wi-Fi and WiMAX Application in Femtocell Network Zakaria Er-Reguig; Hassan Ammor
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 6, No 2: June 2018
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v6i2.445

Abstract

Interference management is the key point in the deployment of ultra-dense networks. Several techniques in physical and data-link layers have been discussed and proposed to provide lower power and better network capacity, while minimizing the cost and complexity of FemtoCell deployment. The applicability of an antenna with microstrip technology that employs multiple elements is developed here for coverage enhancement of FemtoCell network. The antenna proposed in this research has a size of 35 x 35 x 1.58 mm3, it is printed on a commercially available FR4 dielectric substrate and designed for the frequency band from 1.9 GHz to 3.5 GHz. The different results obtained of the studied antenna in the FemtoCell scenario are discussed.
Maximum-Largest Weighted Delay First Algorithm for Heterogeneous Traffic in 4G Networks Elsheikh Mohamed Ahmed Esheikh; Mohamed Hadi Habaebi; Huda Adibah Mohd Ramli; Mohammed H. A. Arafa; Kazi Istiaque Ahmed
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 6, No 2: June 2018
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v6i2.453

Abstract

Real time applications with strict QoS like delay sensitive applications require an advanced technology to adopt them. This is where Long Term Evolution-Advanced (LTE-A) fulfills this requirement. With this ever evolving technology the need for improvements is required. Packet scheduling is one of the important key features of LTE-A, where it dictates user selection and transmission of those user’s packets based on the priority of the users to reach the receiver correctly. Packet scheduling is one mean to achieve those QoS requirements that real-time applications require. Such algorithms are HARQ Aware Scheduling Algorithm (HAS), Retransmission Aware Proportional Fair Algorithm (RAPF), Chase Combining Based Max C/I Scheduling and Maximum- Largest WeightedDealy First algorithm (M-LWDF). In this paper, M-LWDF is one of the best algorithms in LTE-A which was chosen for further investigated to support QoS in high mobility environment. Packet Loss Ratio (PLR), and Mean User Throughput performance measures were used to validate the performance of M-LWDF algorithm against other algorithms using similar mobile environment. Simulation results indicate the capability of M-LWDF algorithm within the threshold of the performance measures against other benchmarks where it has demonstrated more efficiency to support and improve the performance of real-time multimedia traffic.
Using SDN as a Technology Enabler for Distance Learning Applications Zahra Al-Abri; Ahmed Al Maashri; Dawood Al-Abri; Fahad Bait Shiginah
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 6, No 2: June 2018
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v6i2.471

Abstract

The number of students who obtained degrees via distance learning has grown considerably in the last few years. Services provided by distance learning systems are expected to be delivered in a fast and reliable way. However, as the number of users increases, so does the stress on the network. Software-Defined Networking, on the other hand, is a new technology that provides a rapid response to the ever-evolving requirements of today’s businesses. The technology is expected to enhance the overall performance of cloud services, including those provided by distance learning. This paper investigates the benefits of employing such a technology by educational institutions to provide quality services to the users. The results of the experiments show an improvement in performance of up to 11%, when utilizing the technology. In addition, we show how resource reservation features can be utilized to provide quality service to users depending on their role in the distance learning system.

Page 1 of 2 | Total Record : 12