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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 64 Documents
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Search results for , issue "Vol 28, No 2: November 2022" : 64 Documents clear
Assured data deletion in cloud computing: security analysis and requirements Kawa Qambar Aziz; Baban Ahmed Mahmood
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp1174-1183

Abstract

With the rapid development of cloud storage, more data owners store their data on the remote cloud to reduce the heavy local storage overhead. Cloud storage provides clients with a storage space that they may outsource and use on a pay-as-you-go basis. Due to data ownership separation and management, local data owners lose control over their data. Hence, all the operations over the outsourced data such as data transfer, update, and deletion, will be executed by the remote cloud server. As a result of that, various security challenges appear in terms of data privacy and integrity. In addition to data deletion that becomes an important security challenge, once a cloud user intends to delete his data, it must be sure that data is deleted from all cloud storage sources and prevent the cloud server from reserving the data maliciously for economic interests. In this paper, we present and discuss several types of research that use different technologies to solve assured deletion problems and verification the deletion result. The paper also presents a thorough analysis of the surveyed protocols in terms of fine-grained, security, performance, and requirements of remote cloud storage design.
Cocktail parity problem solution based on modified blind extraction technique Ahmed Kareem Abdullah; Hadi A. Hamed; Ali A. Abdullah Albakry; Ahmed Ghanim Wadday
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp793-800

Abstract

The Cocktail Party Problem solution is described as being the responsibility of isolating the voice signal in a noisy environment. Two popular methods for resolving this issue are blind source extraction and the Wiener filtering procedure. The blind source extraction approaches like fastICA, JADE and efficient fastICA are useful for extraction data from the mixed signals. The classical optimization techniques such as genetic algorithms or particle swarms for blind source extraction are mostly founded on the gradient and need the objective function, so the using of these techniques is very restricted. In the recent studies, the classical blind source separation techniques will not give the perfect solution for the cocktail parity problem. These methods struggle with convergence speed and accuracy issues as well. In order to enhance the separation process and get over these issues, this work adopted the glowworm swarm technique based on kurtosis as the objective function. The results show that the proposed technique produces good separation. The original and estimated signals are compared for similarity using the cross-correlation function.
Determination of support vector regression parameters using African buffalo optimization algorithm Inusa Sani Maijama’a; Yuhanis Yusof; Mohamad Farhan Mohsin
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp1088-1095

Abstract

The use of support vector regression (SVR) for regression tasks has been on increase over the past few years. Unfortunately, the practical application of SVR for regression task is limited due to its dependence on proper setting of its hyper-parameters and associated kernel parameter. Therefore, it become imperative to device a reliable and fast mechanism of determining the value of these parameters that could guarantee lowest generalization error. This paper presents SVR parameter optimization approaches using African buffalo optimisation (ABO) algorithm, i.e. SVR-ABO. The SVR parameters are optimized by using African buffalo optimisation algorithm. Results obtained from several experiments performed has shown that the proposed ABO algorithm has the capability of determining SVR hyper-parameters which most of time has to be done through estimation.
Matrix-matrix multiplication on graphics processing unit platform using tiling technique Rahman Ghasempour Balagafshe; Alireza Akoushideh; Asadollah Shahbahrami
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp1012-1019

Abstract

Today’s hardware platforms have parallel processing capabilities and many parallel programming models have been developed. It is necessary to research an efficient implementation of compute-intensive applications using available platforms. Dense matrix-matrix multiplication is an important kernel that is used in many applications, while it is computationally intensive, especially for large matrix sizes. To improve the performance of this kernel, we implement it on the graphics processing unit (GPU) platform using the tiling technique with different tile sizes. Our experimental results show the tiling approach improves speed by 56.89% (2.32× faster) against straightforward (STF). And tile size of 32 has the highest speed compared to other tile sizes of 8 and 16.
Fully synthesizable multi-gate dynamic voltage comparator for leakage reduction and low power application Udara Yedukondalu; Vinod Arunachalam; Vasudha Vijayasri Bolisetty; Ravikumar Guru Samy
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp716-723

Abstract

The paper presents the implementation of a standard cell multigate fully synthesizable rail-to-rail dynamic voltage comparator. The dynamic voltage comparator works on deep sub-threshold supply voltage VDD =0.3 V with common mode inputs. The common-mode input range is VDD/2 with minimum input offset voltage ranging between 8mV to 28mV. Thus the circuit is simulated at 180nm Complementary Metal-Oxide Semiconductor (CMOS) process. Hence the dynamic voltage comparator has measured and tabulated by corresponding output voltage, power dissipation. But the performance of CMOS device is not good when compared with Fin Field-Effect Transistor (FinFET) device. The leakage current is more in CMOS devices while in FinFET device due to the control of multi-Gates on the channel, the leakage current is reduced. This will improve the power consumption in the FinFET device when compared to CMOS devices. The comparator results shows that CMOS device is inferior when compared with FinFET device comparator. For the implementation of the comparator Spice model were used in this work. The software used in the project is synopsis Hspice.
Asynchronous learning: evaluation of virtual classroom metrics according to the perception of university students Guillermo Morales-Romero; Adrián Quispe-Andía; César León-Velarde; Irma Aybar-Bellido; Elizabeth Auqui-Ramos; Shirley Quispe-Guía; Carlos Palacios-Huaraca
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp1058-1066

Abstract

The process and means that the university offers its students must be efficient and of quality, even more so considering the influence of the quality of educational services on student satisfaction. The objective of this article is to analyze the perception of asynchronous learning according to the evaluation of the virtual classroom metrics, carried out by business administration students, the results will allow to continue improving the teaching-learning process in the virtual context of education higher. The methodology of this study is qualitative at the descriptive level, the validation of the data by Cronbach's Alpha, gave a reliability value of 0.985. The results show us that 73.8% of the students perceive that the virtual classroom improved communication and helped the exchange of information between students and 71.4% indicated that the use of the virtual classroom made them more efficient and secure asynchronous learning activities. According to these results, there is a higher percentage of students who consider that the use of the virtual classroom positively influences their asynchronous learning, therefore, it is proposed to continue improving the skills in the use and appropriation of Technologies of information and communication technology (ICT) in virtual students.
Reconfigurable bandstop to allpass filter using defected ground structure in K-band for millimeter-wave communications Adib Othman; Noor Azwan Shairi; Huda A. Majid; Zahriladha Zakaria; Imran Mohd Ibrahim; Mohd Haizal Jamaluddin; Anwar Faizd Osman
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp820-829

Abstract

In this paper, a reconfigurable bandstop to allpass filters using Defected Ground Structure (DGS) in K-Band for millimeter-wave communications is proposed. Mathematical analysis of the DGS is discussed in this paper for the bandstop and allpass responses. The reconfigurable filter is performed by using an ideal switch with open circuit and short circuit conditions on DGS at several locations. Hence, two filter designs with different DGS are investigated for their performance in both simulation and measurement. As a result, the ideal switch at location S3 gives the best performance for both DGSs with a narrowband bandstop response and a wideband allpass response with insertion loss of less than 1 dB and return loss of more than 10 dB at the 26 GHz band. Hence, the proposed reconfigurable filter is suitable for millimeter-wave front-end communications.
Intelligent voltage controller based on firefly algorithm for DC-DC boost converter Darmansyah Darmansyah; Imam Robandi
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp735-743

Abstract

DC-DC boost converter is one of the important tools of photovoltaic (PV) power plant. DC-DC boost converter can be used to adjust the voltage output of photovoltaic before going to the inverter. In addition, DC-DC boost converter can be used as additional devices to make the PV plant operated in maximum power point condition. To get the optimal voltage adjusment, an appropriate controller is essential. Generally, PI controller is commonly used to control the switching procedure of the boost converter. However, with uncertainty of the source (uncertainty of the PV output), PI controller is out off dated. Hence designing PI controller based on the metaheuristic algorithm such as firefly algorithm is essential. This paper is proposed an intelligent voltage controller for DC-DC boost converter based on firefly algorithm (FA). From the simulation results it is noticeable that the PI based on FA could provide better control signal (indicated by the fastest settling time of the boost converter).
Using data mining techniques to extract students' attitudes toward e-learning Nabeel Zuhair Tawfeeq; Omar Ghanim Ghazal; Wisam Saeed Abed
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp1037-1048

Abstract

The rapid expansion of e-learning platforms, where students can share their opinions and express their thoughts, has become a rich source of data for opinion mining and sentiment analysis. This study aims to develop an effective model for predicting students' attitudes about e-learning, with a focus on mining opinions that indicate positive or negative sentiments. The study was implemented in two stages. The first stage aimed to discover the most popular platform used in e-learning at the University of Mosul to collect the largest amount of data through comments posted within the platforms, also to identify trends in students' opinions towards e-learning. The results show that the focus of both lecturers and students revolved around well-known platforms such as Google Classroom and Google Meet, both of which had relative importance (45.33% and 42.29%, respectively). The second stage uses a machine-learning algorithm on the data collected to determine the impact of e-learning on students. Also, two feature selection approaches, Information Gain IG and CHI statistics, were explored and enhanced in addition to HMM and SVM-based hybrid learning strategy. As a result, an opinion mining method was used to assist developers in improving and promoting the quality of relevant services.
Performance comparison between proportional–integral and backstepping control of maximum power in photovoltaic system Omar Diouri; Ahmed Gaga; Mohammed Ouazzani Jamil
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp744-752

Abstract

The major problem with photovoltaic systems is to extract the maximum power with better performance and good efficiency as long as there are large variations in atmospheric conditions. To do this, we made a comparative analysis between two controllers, Proportional-Integrator (PI) and backstepping based on a photovoltaic system made up of two parts, the first is the Photovoltaic (PV) panels which are used to convert solar irradiation to an electric current, the second is a boost converter which is used to provide the maximum power. The Perturb and Observe algorithm is used to generate the reference voltage in order to follow it by the two controllers (PI and backstepping) and therefore generate the maximum power. We are considered some parameters for this comparison such asthe efficiency of the controllersto follow the reference power despite the rapid change in atmospheric conditions as well as the response time of the system and the ripples in the transient phase.

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