cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
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 9,199 Documents
 192   193   194   195   196 
Filtering Based Illumination Normalization Techniques for Face Recognition Sasan Karamizadeh; Shahidan M abdullah; Seyed Mohammad Cheraghi; MazdakZamani MazdakZamani
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The main challenge experienced by the present face recognition techniques and smooth filters are the difficulty in managing illumination. The differences in face images that are created by illumination are normally bigger compared to the differences in inter-person that is utilized to differentiate identities. However, face recognition over illumination has more uses in a lot of applications that deal with subjects that are not cooperative where the highest potential of the face recognition as a non-intrusive biometric feature can be executed and utilized. This study aims to offer a crucial review of researches involving illumination techniques, and image-based face recognition over illumination. Information was collected from journals, books and electronic sources published in the period of 1971 to 2013. In depth explanation is provided on the advantages and drawbacks, strategies and performance levels of the current techniques. DOI: http://dx.doi.org/10.11591/telkomnika.v13i2.7001 
Data and Metadata Exchange Design with SDMX Format using Web Service for Interoperability Statistical Data Jaka Sembiring; Ana Uluwiyah
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Today’s concept of Open Government Data (OGD) for openness, transparency and ease of access of data owned by government agencies becomes increasingly important. This initiative emerges from the demand of data users for the data belongs to the government agencies. The data services providing an easy access, cheap, fast, and interoperability are needed by the users and becomes important indicator performance for respective government agencies. Statistical Data and Metadata Exchange (SDMX) is a new standard format in the data dissemination activities particularly in the exchange of statistical data and metadata via Internet. In this respect SDMX support the implementation of OGD project. This paper is on the technical design, development and implementation of data and metadata exchange service of statistical data using SDMX format to support interoperability data through web services. Three results are proposed: (i) framework for standardization of structure of statistical publications data model with SDMX; (ii) design architecture of data sharing model; and (iii) web service implementation of data and metadata exchange service using Service Oriented Analysis and Design (SOAD) method. Implementation at Statistics Indonesia (BPS) is chosen as a case study to prove the design concept. It is shown through quantitative assessment and black box testing that the design achieves its objective. DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7505
Research and Implementation of Congestion Control Scheme in ForCES Router Bangzhi Xiao; Ming Gao; Weiming Wang; Julong Lan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

With packet input rate rise ceaselessly, FoCES system will finally be congested. In order to solve this problem, aiming at the common local congestion and global congestion, this paper proposed a local congestion control strategy based on scheduling and a global congestion control mode based on the linkage between CE and FE. These two congestion control schemes can independently run inside the system, and also can operate simultaneously. Making that the forwarding rate, throughout and packet loss all have a great improvement in the FE end. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3387
Simulation and modeling of two-level DC/DC boost converter using ARX, ARMAX, and OE model structures M.A.N. Amran; A.A. Bakar,; M.H.A. Jalil; M.U. Wahyu; A.F.H.A. Gani
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1172-1179

Abstract

This paper presents simulation and modeling of two-level DC/DC boost converter using system identification technique. The main objective is to identify the unknown mathematical model from designated converter that has 2 modes of operation. Signals from the converter were processed based on the impulse response from input and output voltages, which were in time domain data. Auto Regressive with eXogenous (ARX), Auto Regressive Moving Average with eXogenous (ARMAX), and Output-Error (OE) model structure techniques had been employed to generate a model from the converter, whose validation was based on coefficient of determination (R2) or best fits criterion. The result shows that the ARX model structure produced the best model with 94.03%, compared to ARMAX and OE with 93.70% and 92.25% respectively. In terms of stability for open-loop analysis, the ARX model structure gave the most stable system.
A Multicriteria Selection Model for Developing New Color Calibration Device Ying-Chieh Fang; Chiuh-Cheng Chyu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Color Calibration Device is a key component for the performance of Medical Display Monitor (MDM). MDMs have been extensively used in hospitals in the past decades. The technological requirements of MDMs are higher than those of general purpose display monitors, but the gross profit margins of MDMS are larger as well. The purpose of this research is to build a hybrid multiple criteria decision making (MCDM) model useful in developing new color calibration device for the MDM industry. The proposed MCDM model uses fuzzy Kano method to filter the performance criteria, and then apply the analytic network process (ANP) in selecting the best alternative among three new products. In this study, gray relation analysis (GRA) is used to build a relations-structure for ANP criteria. The paper also presents a case study on model implementation in a LCD high-tech company. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4799
The Performance of Synchronization Algorithm in Real-time OFDM—PON System Yuelin Du; Jingxian Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 7: November 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In OFDM-PON system, the synchronization signal is very important. We use  synchronization signal to get a whole OFDM signal. Due to the real-time system,  we  need  to  get  the  fast  change  signal.  So  get  a  true  signal  is  very important and very hard. That is to say, we need to design an excellent algorithm to get finish this demand. This is another point of this project. In the paper, the author designed a new algorithm to solve the problems. we use some simulations  to  compare  the  performances  of  different  algorithms  to  get  the further  understanding.  In  the  experiment,  we  use  more  detail  algorithms  to estimate if it is useful in real-time OFDM-PON system. When the SNR is 10, we can get the synchronization signal correctly. DOI: http://dx.doi.org/10.11591/telkomnika.v10i7.1576
Content Based Image Retrieval using Feature Extraction in JPEG Domain and Genetic Algorithm Parvin N; Kavitha P
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 1: July 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i1.pp226-233

Abstract

Content-Based Image Retrieval (CBIR) aims at retrieving the images from the database based on the user query which is visual form rather than the traditional text form. The applications of CBIR extends from surveillance to remote sensing, medical imaging to weather forecasting, security systems to historical research and so on. Though extensive research is made on content based image retrieval in the spatial domain, we have most images in the internet which is JPEG compressed which pushes the need for image retrieval in the compressed domain itself rather than decoding it to raw format before comparison and retrieval. This research addresses the need to retrieve the images from the database based on the features extracted from the compressed domain along with the application of genetic algorithm in improving the retrieval results. The research focuses on various features and their levels of impact on improving the precision and recall parameters of the CBIR system. Our experimentation results also indicate that the CBIR features in compressed domain along with the genetic algorithm usage improves the results considerably when compared with the literature techniques. 
A smart monitoring and controlling for agricultural pumps using LoRa IOT technology Aktham Hasan Ali; Raad Farhood Chisab; Mohannad Jabbar Mnati
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp286-292

Abstract

Controlling electrical pumps on farms can be problematic, especially if there are a small number of people managing or working on huge areas of land and if the provision of electricity is not consistent. Therefore, further techniques for the management of plant irrigation on this type of land are being invented to make the process of irrigation easier. In this paper, a new intelligent device is designed and utilized to control the operation of irrigation pumps using a robust method of communication to transfer information at long distances, for the lowest cost, and the longest battery life. This technology is called LoRa (Long Range) communication, which is a low-power technology. The unit consists of two circuits: the first one is for switching the pumps ON and OFF, while the second one controls and monitoring the work of the pumps. Monitoring of the pumps can also be carried out through smart phones by measuring the voltage. The most important features of this new design are its intelligent control for long distances, cheap price, and a long operational life of more than five years. The goal of this paper is to help farmers by designing and manufacturing a remote-control system that switches irrigation pumps on and off using LoRa technologies.
Use of QC Methods to Improve the Utilization Efficiency of Condensate Water Xinquan Jiang; Xinqiao Jiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Condensation of water use for energy saving and emission reduction is of great significance, and QC methods is an effective method to improve the utilization of condensate management. This article will be the empirical study on the condensation water in the target Enterprise workshop as objects, study how to use QC method to improve the recovery rate, and to adopt effective measures to improve the production process of condensation water, eventually able to resolve their energy-saving emission reduction issues. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2368
Hybrid MVDR-LMS beamforming for Massive MIMO Yasmine M. Tabra; Bayan Sabbar
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 2: November 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i2.pp715-723

Abstract

With the high speed of communication in LTE-5G, fast beamforming techniques need to be adopted. The training time required to form and steer the main lobes toward 5G multiple users must be short. Least-Mean-Square (LMS) training time is not suitable to work with in LTE-5G, but it has a good performance in forming multiple beams to large number of users and producing nulls in the interference direction. In this paper, an optimized hybrid MVDR-LMS beamforming algorithm is proposed to reduce the time required to estimate the antenna’s weights. This optimization is made by the benefit of previously set weights calculated using MVDR algorithms. The performance of the proposed hybrid MVDR-LMS algorithm tested using MATLAB 2016a.

Page 194 of 920 | Total Record : 9199

 192   193   194   195   196 

Filter by Year

2012 2026


Reset
Filter By Issues
All Issue Vol 41, No 3: March 2026 Vol 41, No 2: February 2026 Vol 41, No 1: January 2026 Vol 40, No 3: December 2025 Vol 40, No 2: November 2025 Vol 40, No 1: October 2025 Vol 39, No 3: September 2025 Vol 39, No 2: August 2025 Vol 39, No 1: July 2025 Vol 38, No 3: June 2025 Vol 38, No 2: May 2025 Vol 38, No 1: April 2025 Vol 37, No 3: March 2025 Vol 37, No 2: February 2025 Vol 37, No 1: January 2025 Vol 36, No 3: December 2024 Vol 36, No 2: November 2024 Vol 36, No 1: October 2024 Vol 35, No 3: September 2024 Vol 35, No 2: August 2024 Vol 35, No 1: July 2024 Vol 34, No 3: June 2024 Vol 34, No 2: May 2024 Vol 34, No 1: April 2024 Vol 33, No 3: March 2024 Vol 33, No 2: February 2024 Vol 33, No 1: January 2024 Vol 32, No 3: December 2023 Vol 32, No 1: October 2023 Vol 31, No 3: September 2023 Vol 31, No 2: August 2023 Vol 31, No 1: July 2023 Vol 30, No 3: June 2023 Vol 30, No 2: May 2023 Vol 30, No 1: April 2023 Vol 29, No 3: March 2023 Vol 29, No 2: February 2023 Vol 29, No 1: January 2023 Vol 28, No 3: December 2022 Vol 28, No 2: November 2022 Vol 28, No 1: October 2022 Vol 27, No 3: September 2022 Vol 27, No 2: August 2022 Vol 27, No 1: July 2022 Vol 26, No 3: June 2022 Vol 26, No 2: May 2022 Vol 26, No 1: April 2022 Vol 25, No 3: March 2022 Vol 25, No 2: February 2022 Vol 25, No 1: January 2022 Vol 24, No 3: December 2021 Vol 24, No 2: November 2021 Vol 24, No 1: October 2021 Vol 23, No 3: September 2021 Vol 23, No 2: August 2021 Vol 23, No 1: July 2021 Vol 22, No 3: June 2021 Vol 22, No 2: May 2021 Vol 22, No 1: April 2021 Vol 21, No 3: March 2021 Vol 21, No 2: February 2021 Vol 21, No 1: January 2021 Vol 20, No 3: December 2020 Vol 20, No 2: November 2020 Vol 20, No 1: October 2020 Vol 19, No 3: September 2020 Vol 19, No 2: August 2020 Vol 19, No 1: July 2020 Vol 18, No 3: June 2020 Vol 18, No 2: May 2020 Vol 18, No 1: April 2020 Vol 17, No 3: March 2020 Vol 17, No 2: February 2020 Vol 17, No 1: January 2020 Vol 16, No 3: December 2019 Vol 16, No 2: November 2019 Vol 16, No 1: October 2019 Vol 15, No 3: September 2019 Vol 15, No 2: August 2019 Vol 15, No 1: July 2019 Vol 14, No 3: June 2019 Vol 14, No 2: May 2019 Vol 14, No 1: April 2019 Vol 13, No 3: March 2019 Vol 13, No 2: February 2019 Vol 13, No 1: January 2019 Vol 12, No 3: December 2018 Vol 12, No 2: November 2018 Vol 12, No 1: October 2018 Vol 11, No 3: September 2018 Vol 11, No 2: August 2018 Vol 11, No 1: July 2018 Vol 10, No 3: June 2018 Vol 10, No 2: May 2018 Vol 10, No 1: April 2018 Vol 9, No 3: March 2018 Vol 9, No 2: February 2018 Vol 9, No 1: January 2018 Vol 8, No 3: December 2017 Vol 8, No 2: November 2017 Vol 8, No 1: October 2017 Vol 7, No 3: September 2017 Vol 7, No 2: August 2017 Vol 7, No 1: July 2017 Vol 6, No 3: June 2017 Vol 6, No 2: May 2017 Vol 6, No 1: April 2017 Vol 5, No 3: March 2017 Vol 5, No 2: February 2017 Vol 5, No 1: January 2017 Vol 4, No 3: December 2016 Vol 4, No 2: November 2016 Vol 4, No 1: October 2016 Vol 3, No 3: September 2016 Vol 3, No 2: August 2016 Vol 3, No 1: July 2016 Vol 2, No 3: June 2016 Vol 2, No 2: May 2016 Vol 2, No 1: April 2016 Vol 1, No 3: March 2016 Vol 1, No 2: February 2016 Vol 1, No 1: January 2016 Vol 16, No 3: December 2015 Vol 16, No 2: November 2015 Vol 16, No 1: October 2015 Vol 15, No 3: September 2015 Vol 15, No 2: August 2015 Vol 15, No 1: July 2015 Vol 14, No 3: June 2015 Vol 14, No 2: May 2015 Vol 14, No 1: April 2015 Vol 13, No 3: March 2015 Vol 13, No 2: February 2015 Vol 13, No 1: January 2015 Vol 12, No 12: December 2014 Vol 12, No 11: November 2014 Vol 12, No 10: October 2014 Vol 12, No 9: September 2014 Vol 12, No 8: August 2014 Vol 12, No 7: July 2014 Vol 12, No 6: June 2014 Vol 12, No 5: May 2014 Vol 12, No 4: April 2014 Vol 12, No 3: March 2014 Vol 12, No 2: February 2014 Vol 12, No 1: January 2014 Vol 11, No 12: December 2013 Vol 11, No 11: November 2013 Vol 11, No 10: October 2013 Vol 11, No 9: September 2013 Vol 11, No 8: August 2013 Vol 11, No 7: July 2013 Vol 11, No 6: June 2013 Vol 11, No 5: May 2013 Vol 11, No 4: April 2013 Vol 11, No 3: March 2013 Vol 11, No 2: February 2013 Vol 11, No 1: January 2013 Vol 10, No 8: December 2012 Vol 10, No 7: November 2012 Vol 10, No 6: October 2012 Vol 10, No 5: September 2012 Vol 10, No 4: August 2012 Vol 10, No 3: July 2012 More Issue