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Android interactive word game in mother tongue for early childhood learners
Rosie Jane P. Siosan;
Josephine R. Lavilla;
Ma. Asuncion Christine V. Dequilla;
Joel T. De Castro
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v22.i3.pp1787-1795
As ownership of mobile devices increases, the trend in the use of information and communications technology (ICT) in education also advances. In line with the mandate of the department of education to develop interactive strategies, this study aimed to design, develop, and evaluate an android interactive word game in Mother Tongue on the level of acceptability of the system based on content, instructional quality, technical quality, presentation and organization, and accuracy and up-to-dateness to address the gap for interactive mobile learning. This study used developmental and quasi-experimental research. The first phase of the study used developmental research to design, develop, and evaluate the acceptability of the android word game. The second phase of the study used quasi-experimental to evaluate the effectiveness of the developed android word game on the pupils' academic performance in mother tongue. The evaluation of the information technology (IT) experts resulted to a very acceptable rating for the android interactive word game, which was observed to be effective based on the higher post-test mean score or higher mean score of the pupils in the spelling skills after their exposure to the android interactive word game.
Comparison of lithium niobate and silicon substrate on phase shift and efficiency performance for mach-zehnder interferometer modulator
Nor Hidayah Roslan;
Aziati H. Awang;
Mohd Hanapiah M. Yusoff;
Ahmad Rifqi Md Zain
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v22.i1.pp352-360
In this study, the low-group velocity slow-light mach-zehnder interferometer (MZI) modulator, low loss and high efficiency for two modulator substrate lithium niobate (LN) and silicon were presented and optimized at 1.55µm operating wavelength. The high power consumption of conventional modulator was the major drawback in the operation of modulators. Therefore, it was a good time for low-power modulator design and development and to compare the LN and Silicon modulator on the phase shifted using the slow-light technique by designing the full MZI modulator consisting of splitter and combiner on both substrates. The phase shift of LN is 2% compared with the silicon 0.09% and higher phase shift give better performance with low power consumption due to the change of modulating voltage of the MZI modulator for LN while the silicon depends on modulating voltage manipulating concentration of charge carrier in doped silicon.
Classification techniques’ performance evaluation for facial expression recognition
Mayyadah R. Mahmood;
Maiwan B. Abdulrazaq;
Subhi R. M. Zeebaree;
Abbas Kh. Ibrahim;
Rizgar Ramadhan Zebari;
Hivi Ismat Dino
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 2: February 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v21.i2.pp1176-1184
Facial exprestion recognition as a recently developed method in computer vision is founded upon the idea of analazing the facial changes in which are witnessed due to emotional impacts on an individual. This paper provides a performance evaluation of a set of supervised classifiers used for facial expression recognition based on minimum features selected by chi-square. These features are the most iconic and influential ones that have tangible value for result dermination. The highest ranked six features are applied on six classifiers including multi-layer preceptron, support vector machine, decision tree, random forest, radial baised function, and k-nearest neioughbor to figure out the most accurate one when the minum number of features are utilized. This is done via analyzing and appraising the classifiers’ performance. CK+ is used as the research’s dataset. Random forest with the total accuracy ratio of 94.23 % is illustrated as the most accurate classifier amongst the rest.
An accurate target tracking method in wireless sensor networks
Ahmadi, Hanen;
Bouallegue, Ridha
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v25.i3.pp1589-1598
Localization is a challenging research issue in various sectors of activity, particularly in dynamic indoor environment with high perturbation. Many existing localization techniques in wireless sensor networks are not efficient because of many constraints such as the high cost, the memory and energy limitation and the environmental noise effects. Thus, the development of novel methods of localization has become a great concern for the wireless sensor networks. In this paper, we propose a tracking method that combines regression tree and Kalman smoother filtering. Previously, regression tree has been suggested for static positioning by means of received signal strength indicator measurements. In this work, we employ this strategy to solve the mapping relation between these measurements and the target position by means of an optimized propagation model. Moreover, the predicted position considered as the observed information is introduced to the Kalman smoother algorithm, to have more precise state of the moving target. The proposed algorithm has been assessed and compared to other existing methods using real measurements of the received power by the moving target in an indoor environment. The evaluation shows that our solution outperforms other methods regarding localization accuracy.
Dynamic response enhancement of BDFIG using vector control scheme based internal model c ontrol
Ahsanullah Memon;
Mohd Wazir Mustafa;
Shadi Khan Baloch;
Attaullah Khidrani;
Touqeer Ahmed
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v23.i1.pp90-97
Doublefed induction generator(DFIG) has shown tremendous success inwind turbines due to its flexibility and ability to regulate the active andreactive power. However, the presence of brushes and slip rings affects itsreliability, stability, and power quality. Furthermore, itdoes not providepromising outcomes in case of faults even in presence of the crowbar circuit.In contrast, thebrushless doubly fed induction generator(BDFIG) is a morereliable option for wind turbines than its mentioned counterpart due to theabsence of the brushes and slip rings. This research work as such attempts toimprove the dynamic performance of thevector control(VC)oriented powerwinding (PW) stator flux-based BDFIG by optimally selecting theproportional-integral(PI) gains throughinternalmodel control(IMC)approach. The proposed control scheme is utilized to regulate the speed,torque, and reactive power of the considered BDFIG independently. Contraryto the previous literature where the “trial and error method” is generallyutilized, the current research work uses the IMC for selecting the mostsuitable PI parameters, thus reduces the complexity, time consumption, anduncertainty in optimal selection. The considered BDFIG based wind turbinewith the proposed control scheme provides a better BDFIG control designwith an enhanced dynamic response as compared to that of the same withDFIG under identical operating conditions and system configurations.
Enhancement of observability using Kubernetes operator
Prerana Shenoy S. P.;
Sai Vishnu Soudri;
Ramakanth Kumar P.;
Sahana Bailuguttu
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 1: January 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v25.i1.pp496-503
Observability is the ability for us to monitor the state of the system, which involves monitoring standard metrics like central processing unit (CPU) utilization, memory usage, and network bandwidth. The more we can understand the state of the system, the better we can improve the performance by recognizing unwanted behavior, improving the stability and reliability of the system. To achieve this, it is essential to build an automated monitoring system that is easy to use and efficient in its working. To do so, we have built a Kubernetes operator that automates the deployment and monitoring of applications and notifies unwanted behavior in real time. It also enables the visualization of the metrics generated by the application and allows standardizing these visualization dashboards for each type of application. Thus, it improves the system's productivity and vastly saves time and resources in deploying monitored applications, upgrading Kubernetes resources for each application deployed, and migration of applications.
A survey on advanced transmission technologies for high bandwidth and good signal quality for high-speed railways
Abdul Rafay;
Sevia Mahdaliza Idrus;
Kamaludin Mohamad Yusof;
Siti Hasunah Mohammad
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v23.i1.pp293-301
Ahigh-speedrailway (HSR) has gained very high popularity for passengersdue to the fast, reliable, economical and convenient during traveling a verylong-distance journey. Thedemandfor advancedbroadbandservices such aswatching4K movies, cloud computing andonline gaming, has exponentiallyincreased fortravelerson thehigh-speedtrain(HST).The HSTcan’t providegood bandwidth to facilitate these services for travelers via existingtechnologies such as cellular networksand satellite networks because offrequent handoffs, high penetration and fading.So, the bandwidth degradesdramatically due to these issues. Research workers have developed proposalsto handle these problems by advanced transmission technologies for HSR.Until now,varioustransmissionschemeshave beensuggestedby researchworks with thefocusfor either high bandwidth or signal qualityimprovement. This paper presents a survey on advanced transmissiontechnologies for high bandwidth and good signal quality. In this paper, acomprehensive survey of the appropriate literature published that concentrateon advanced transmission methods in HSR communications in getting higherbandwidth efficiency and maximize the signal quality is presented. Advancedtransmission method can be categorized into orthogonal frequencydivisionmultiplexing (OFDM), multiple-input multiple-output (MIMO) and radio-over-fiber (RoF).
Organizing sports matches with a hybrid monkey search algorithm
Ruqaya Zedan Shaban;
Isra Natheer Alkallak
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v22.i1.pp542-551
This academic piece of the paper illustrates an approach of organizing sports matches to be as a tool of sports schedule maker via a proposed hybrid Monkey search algorithm by doubles elimination tournament. Input are a set of teams represented by monkeys. It states that the natural behavior of monkeys and its climbing to obtain (solution) through uphill (climbing), watch-jumping, and somersault process. The parameters in the climb were represented by whether or not sports team won. The distribution of the teams, whether in the upper or the lower half, represented in the watch-jumping by mathematical equations, in addition to representing the variables in somersault process. The consequences behind the suggested algorithm used have tackled steps to reach an optimal schedule for a variety of teams for the same championship. The team cannot play more than two consecutive matches with the condition of starting with a random population of feasible solutions. The performance of the presented algorithm was very well through providing a flexible and easy organization of sports matches without using classic or manual routine. Furthermore, the search space reduced so that can give a guarantee to achieve a globally optimum solution. The software platform was MATLAB m-files.
High modulated soliton power propagation interaction with optical fiber and optical wireless communication channels
Mahmoud M. A. Eid;
Ashraf S. Seliem;
Ahmed Nabih Zaki Rashed;
Abd El-Naser A. Mohammed;
Mohamed Yassin Ali;
Shaimaa S. Abaza
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 3: March 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v21.i3.pp1575-1583
This paper has presented high modulated soliton power transmission interaction with optical fiber and optical wireless communication channels at flow rate of 40 Gbps and 20 km link range. The proposed modulation schemes are continuous phase frequency shift keying (CPFSK), Quadrature amplitude modulation (QAM), differential phase shift keying (DPSK), frequency shift keying (FSK), pulse amplitude modulation (PAM), minimum shift keying (MSK), and optical quadrature phase shift keying (OQPSK). CPFSK has presented better performance than other proposed modulation schemes for both optical fiber and optical wireless communication channels. The enhancement of optical signal/noise ratio at fiber/wireless channel, received electrical power and signal/noise ratio at optical receiver with increase of bits per symbol for different proposed modulation schemes except for CPFSK scheme. Therefore it is evident that CPFSK modulation scheme is more efficient and better performance than other modulation schemes for different communication channels. The obtained results are simulated with optisystem program version 13.
New lambda tuning approach of single input fuzzy logic using gradient descent algorithm and particle swarm optimization
Zohedi, Fauzal Naim;
Aras, Mohd Shahrieel Mohd;
Kasdirin, Hyreil Anuar;
Nordin, Nurdiana Binti
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v25.i3.pp1344-1355
Underwater remotely operated vehicle (ROV) is important in underwater industries as well as for safety purposes. It can dive deeper than humans and can replace humans in a hazardous underwater environment. ROV depth control is difficult due to the hydrodynamic of the ROV itself and the underwater environment. Overshoot in the depth control may cause damage to the ROV and its investigated location. This paper presenting a new tuning approach of single input fuzzy logic controller (SIFLC) with gradient descent algorithm (GDA) and particle swarm optimization (PSO) implementation for ROV depth control. The ROV was modeled using system identification to simulate the depth system. Proportional integral derivative (PID) controller was applied to the model as a basic controller. SIFLC was then implemented in three tuning approaches which are heuristic, GDA, and PSO. The output transient was simulated using MATLAB Simulink and the percent overshoot (OS), time rise (Tr), and settling time (Ts) of the systems without and with controllers were compared and analyzed. The result shows that SIFLC GDA output has the best transient result at 0.1021% (OS), 0.7992s (Tr), and 0.9790s (Ts).