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29,939 Article Results

Verification and comparison of MIT-BIH arrhythmia database based on number of beats

10.11591/ijece.v11i6.pp4950-4961
Akram Jaddoa Khalaf , Samir Jasim Mohammed
The ECG signal processing methods are tested and evaluated based on many databases. The most ECG database used for many researchers is the MIT-BIH arrhythmia database. The QRS-detection algorithms are essential for ECG analyses to detect the beats for the ECG signal. There is no standard number of beats for this database that are used from numerous researches. Different beat numbers are calculated for the researchers depending on the difference in understanding the annotation file. In this paper, the beat numbers for existing methods are studied and compared to find the correct beat number that should be used. We propose a simple function to standardize the beats number for any ECG PhysioNet database to improve the waveform database toolbox (WFDB) for the MATLAB program. This function is based on the annotation's description from the databases and can be added to the Toolbox. The function is removed the non-beats annotation without any errors. The results show a high percentage of 71% from the reviewed methods used an incorrect number of beats for this database.
Volume: 11
Issue: 6
Page: 4950-4961
Publish at: 2021-12-01

Realtime autonomous navigation in V-Rep based static and dynamic environment using EKF-SLAM

10.11591/ijra.v10i4.pp296-307
Umme Hani , Lubna Moin
Localization in an autonomous mobile robot allows it to operate autonomously in an unknown and unpredictable environment with the ability to determine its position and heading. Simultaneous localization and mapping (SLAM) are introduced to solve the problem where no prior in formation about the environment is available either static or dynamic to achieve standard map-based localization. The primary focus of this research is autonomous mobile robot navigation using the extended Kalman filter ( EKF )-SLAM environment modeling tech nique which provides higher accuracy and reliability in mobile robot localization and mapping result s . In this paper , EKF-SLAM performance is verified by simulations performed in a static and dynamic environment designed in V-REP i.e. , 3D Robot simulation environment. In this work SLAM problem of two-wheeled differential drive robot i.e. , Pioneer 3-DX in indoor static and dynamic environment integrated with Laser range finder i.e. , H okuyo URG-04LX-UG01, LIDAR , and Ultrasonic sensors is solved. EKF-SLAM scripts are developed using MATLAB that is linked to V-REP via r emote API f eature to evaluate EKF-SLAM performance. The reached results confirm the EKF-SLAM is a reliable approach for r eal-time autonomous navigation for mobile robots in comparison to other techniques.
Volume: 10
Issue: 4
Page: 296-307
Publish at: 2021-12-01

Validity and reliability testing of home care stroke quality indicators

10.11591/ijphs.v10i4.20846
Nur Chayati , Christantie Effendy , Ismail Setyopranoto
It is disconcerting that until today there are no agencies or research to recommend the appropriate indicators of home nursing care of stroke patients according to Indonesian conditions. Hence, this research aimed to verify the validity and reliability of quality indicators of home nursing care for stroke patient that resulted from Delphy process. Confirmatory factor analysis was carried out for validity and reliability testing with data collected from 350 respondents. Based on the value of loading factors, 62 indicators were declared valid and five indicators were invalid. This study successfully proved the validity of 62 indicators of quality home care for stroke patients. Further research is needed to pilot project this indicator in a larger area.
Volume: 10
Issue: 4
Page: 873-879
Publish at: 2021-12-01

Electronic health record to predict a heart attack used data mining with Naïve Bayes method

10.11591/ijict.v10i3.pp182-187
Johanes Fernandes Andry , Fabio Mangatas Silaen , Hendy Tannady , Kevin Hadi Saputra
A heart attack is a medical emergency. A heart attack usually occurs when a blood clot blocks the flow of blood to the heart. Cardiovascular disease is a variety of diseases that attack the body's cardiovascular system including the heart and blood vessels. Cardiovascular diseases (CVD) include angina, arrhythmia, heart attack, heart failure, atherosclerosis, stroke, and so on. To resolving (CVD) is to evaluate large scores of datasets, to compare for any information that can be used to forecast, to take care of organize. The method used Naïve Bayes classification because that method can determine target which can be used to answer some questions like whether the patient has the potential for heart disease. After data analyst, authors can use data to electronic health records (EHR).
Volume: 10
Issue: 3
Page: 182-187
Publish at: 2021-12-01

A general framework for selecting appropriate criteria of student as research assistant using fuzzy delphi method

10.11591/ijai.v10.i4.pp839-846
Sulaiman Abd Anter , Bahbibi Rahmatullah , Shihab Hamad Khaleefah , Khairul Fikri Tamrin
This research aims to build a general framework for choosing the most appropriate set of criteria for recruiting student as a research assistant in a university research project. University researchers could benefit from such a framework because it could optimize the costs of research while also enhancing students research skills. In the same time, it is also essential that the quality of research ought to measure up to the grants provided by the university. Nevertheless, it is a challenging problem for many research supervisors in the selection of qualified research assistants. In this paper, we attempted to resolve this problem by building a general framework for selecting the appropriate criteria in the evaluation of student performance. We explored earlier studies on the proposed evaluation criteria of the research assistant and identified 47 most impactful criteria criteria. We obtained experts in engineering and information technology fields from two universities to answer questionnaires to identify their commonly used criteria for grant research assistant (GRA). Then, all the identified criteria were evaluated using the fuzzy delphi method (FDM) for finding the best fitting criteria which resulted in 16 most impactful criteria.
Volume: 10
Issue: 4
Page: 839-846
Publish at: 2021-12-01

Comprehensive analysis of current research trends in energy storage technologies

10.11591/ijeecs.v24.i3.pp1288-1296
Surender Reddy Salkuti , Sravanthi Pagidipala , Seong-Cheol Kim
This paper addresses the comprehensive analysis of various energy storage technologies, i.e., electrochemical and non-electrochemical storage systems by considering their storage methods, environmental impact, operations, costs, and their importance and applications. These storage technologies will help to reduce the energy shortage. There has been a significant deployment of storage systems in power grids throughout the world. The characteristics of storage systems such as the ability to act both as generation and load, fast response time, and high ramp rate. Make them promising options for the system operators to reduce the peak demand, and facilitate renewable energy integration. Various new trends in energy depict the ways this generated energy could be stored and harnessed. With the recent integration of renewable energy, it is important to store the energy and it is combined to help the green energy demand. The integration of renewable energy into the power grid has increased reliability, efficiency, and stability. Adding the energy component will further enhance the capabilities of the grid. This paper also recommends an optimal storage technique from various available storage technologies.
Volume: 24
Issue: 3
Page: 1288-1296
Publish at: 2021-12-01

Speech signal compression and encryption based on sudoku, fuzzy C-means and threefish cipher

10.11591/ijece.v11i6.pp5049-5059
Iman Qays Abduljaleel , Amal Hameed Khaleel
Compression and encryption of speech signals are essential multimedia technologies. In the field of speech, these technologies are needed to meet the security and confidentiality of information requirements for transferring huge speech signals via a network, and for decreasing storage space for rapid retrieval. In this paper, we propose an algorithm that includes hybrid transformation in order to analyses the speech signal frequencies. The speech signal is then compressed, after removing low and less intense frequencies, to produce a well compressed speech signal and ensure the quality of the speech. The resulting compressed speech is then used as an input in a scrambling algorithm that was proposed on two levels. One of these is an external scramble that works on mixing up the segments of speech that were divided using Fuzzy C-Means and changing their locations. The internal scramble scatters the values of each block internally based on the pattern of a Sudoku puzzle and quadratic map so that the resulting speech is an input to a proposed encryption algorithm using the threefish algorithm. The proposed algorithm proved to be highly efficient in the compression and encryption of the speech signal based on approved statistical measures.
Volume: 11
Issue: 6
Page: 5049-5059
Publish at: 2021-12-01

Formation shape transition of multiple mobile robots in leader-follower method

10.11591/ijra.v10i4.pp275-288
Atsushi Fujimori , Kotaro Oh-kiri , Shinsuke Oh-hara
This paper presents a formation shape transition technique of multiple mobile robots in the leader-follower method as a new function that gives flexibility to the formation control of mobile robots with multiple sonars. First, we propose basic shape transition methods for the case of two mobile robots under formation control by the leader-fol lower method, and then extend the methods to the shape transition of three mobile robots. Since the multiple sonars attached to the mobile robot are located forward, including the left and right sides, there is a constraint on the formation shape feasible by the leader-follower method. In the case of two mobile robots, the follower must be positioned behind the leader. Therefore, there are three shapes of the follower relative to the leader: line, right-back, left-back. In the case of three mobile robots, t hree types of line, zigzag, triangle shapes are considered. The effectiveness of the proposed technique is demonstrated by experiments using real mobile robots.
Volume: 10
Issue: 4
Page: 275-288
Publish at: 2021-12-01

Calibration of the science process skills among Malaysian elementary students: A Rasch model analysis

10.11591/ijere.v10i4.21430
Nazahiyah Mustafa , Ahmad Zamri Khairani , Nor Asniza Ishak
This study aimed to calibrate the test items of science process skills used as a test at primary school students to provide information on the difficulty of each item. Data were collected from 128 standard five students in a primary school in Penang. The test was given in multiple-choice as many as 40 items consisting of 33 items partial credit test was developed to gather information from the students. The analysis included an assessment of the model’s assumptions and calibrations according to the individual items. Information on the Rasch calibration according to the topic were provided. Results revealed that the measurement made fulfilled both model-data fit and unidimensionality assumptions. Further analysis showed that observing and communicating were endorsed as the easiest to master while inferring and classifying were the most challenging. The study discussed the implication, particularly towards the teaching and learning of science process skills in the classroom. Teachers should seriously consider the science process skills when designing their teaching and learning strategies in the classroom.
Volume: 10
Issue: 4
Page: 1344-1351
Publish at: 2021-12-01

Adaptive language processing unit for Malaysian sign language synthesizer

10.11591/ijra.v10i4.pp326-339
Haris Al Qodri Maarif , Teddy Surya Gunawan , Rini Akmeliawati
Language processing unit (LPU) is a system built to process text-based data to comply with the rules of the sign language grammar. This system was developed as an important part of the sign language synthesizer system. Sign language (SL) uses different grammatical rules from the spoken/verbal language, which only involves the important words that hearing/impaired speech people can understand. Therefore, it needs word classification by LPU to determine grammatically processed sentences for the sign language synthesizer. However, the existing language processing unit in SL synthesizers suffers time lagging and complexity problems, resulting in high processing time. The two features, i.e., the computational time and success rate, become trade-offs which means the processing time becomes longer to achieve a higher success rate. This paper proposes an adaptive LPU that allows processing the words from spoken words to Malaysian SL grammatical rule that results in relatively fast processing time and a good success r ate. It involves n-grams, natural language processing (NLP) , and hidden Markov models (HMM)/Bayesian networks as the classifier to process the text-based input. As a result, the proposed LPU system has successfully provided an efficient (fast) processing time and a good success rate compared to LPU with other edit distances (mahalanobis, Levenshtein, and soundex). The system has been tested on 130 text-input sentences with several words ranging from 3 to 10 words. Results showed that the proposed LPU could achieve around 1.497ms processing time with an average success rate of 84.23% for a maximum of ten-word sentences.
Volume: 10
Issue: 4
Page: 326-339
Publish at: 2021-12-01

Narrow-band filter for satellite communication systems

10.11591/ijict.v10i3.pp198-203
Alexander Vladimirovich Strizhachenko , Sergey Nikolayevich Shulga
Design narrow-band compact filters, based on high-quality waveguide-dielectric resonators with anisotropic materials is the subject of this paper. Filter represents a segment of a rectangular waveguide rotated around the longitudinal axis of the waveguide 90 degrees and containing one or more dielectric inserts that completely fill the resonator along the narrow wall of the waveguide and partially along the wide one. A distinctive feature of the proposed filter is higher slope steepness of the amplitude-frequency characteristic, and high manufacturability in the centimeter range. The designed narrow-band filter satisfies contradictory requirements: it combines narrow bandwidth (≈ 0.1% of center frequency f0) with low passband insertion loss (≤ 1 dB).
Volume: 10
Issue: 3
Page: 198-203
Publish at: 2021-12-01

Forecasting model with machine learning in higher education ICFES exams

10.11591/ijece.v11i6.pp5402-5410
Daniel Esteban Martínez Cervera , Octavio José Salcedo Parra , Marco Antonio Aguilera Prado
In this paper, we proposed to make different forecasting models in the University education through the algorithms K-means, K-closest neighbor, neural network, and naïve Bayes, which apply to specific exams of engineering, licensed and scientific mathematical thinking in Saber Pro of Colombia. ICFES Saber Pro is an exam required for the degree of all students who carry out undergraduate programs in higher education. The Colombian government regulated this exam in 2009 in the decree 3963 intending to verify the development of competencies, knowledge level, and quality of the programs and institutions. The objective is to use data to convert into information, search patterns, and select the best variables and harness the potential of data (average 650.000 data per semester). The study has found that the combination of features was: women have greater participation (68%) in Mathematics, Engineering, and Teaching careers, the urban area continues to be the preferred place to apply for higher studies (94%), Internet use increased by 50% in the last year, the support of the family nucleus is still relevant for the support in the formation of the children.
Volume: 11
Issue: 6
Page: 5402-5410
Publish at: 2021-12-01

Adjustment mechanism with sliding mode for adaptive PD controller applied to unmanned fixed-wing MAV altitude

10.11591/ijra.v10i4.pp308-318
A.T. Espinoza-Fraire , A. Saenz-Esqueda , F. Cortes-Martinez
This work presents an adjustment mechanism with the sliding modes technique to de- sign a proportional derivative (PD) controller with adaptive gains. The objective and contribution are to design a robust adjustment mechanism in the presence of unknown and not modeled perturbations in the system; this perturbation can be considered wind gusts. The robust adjustment mechanism is designed with the MIT rule and the gra- dient method with the sliding mode theory. The adaptive PD obtained is applied to regulate unmanned fixed-wing miniature aerial vehicle (MAV’s) altitude.
Volume: 10
Issue: 4
Page: 308-318
Publish at: 2021-12-01

Integrated NIR-HE based SPOT-5 image enhancement method for features preservation and edge detection

10.11591/ijeecs.v24.i3.pp1499-1514
Farizuwana Akma Zulkifle , Rohayanti Hassan , Mohammad Nazir Ahmad , Shahreen Kasim , Tole Sutikno , Shahliza Abd Halim
Recently, many researchers have directed their attention to methods of predicting shorelines by the use of multispectral images. Thus, a simple and optimised method using image enhancements is proposed to improve the low contrast of the Satellite pour l'Observation de la Terre-5 (SPOT-5) images in the detection of shorelines. The near-infrared (NIR) channel is important in this study to ensure the contrast of the vegetated area and sea classification, due to the high reflectance of leaves in the near infrared wavelength region. This study used five scenes of interest to show the different results in shoreline detection. The results demonstrated that the proposed method performed in an enhanced manner as compared to current methods when dealing with the low contrast ratio of SPOT-5 images. As a result, by utilising the near-infrared histogram equalization (NIR-HE), the contrast of all datasets was efficiently restored, producing a higher efficiency in edge detection, and achieving higher overall accuracy. The improved filtering method showed significantly better shoreline detection results than the other filter methods. It was concluded that this method would be useful for detecting and monitoring the shoreline edge in Tanjung Piai.
Volume: 24
Issue: 3
Page: 1499-1514
Publish at: 2021-12-01

Development of durian leaf disease detection on Android device

10.11591/ijece.v11i6.pp4962-4971
A. L. Sabarre , A. S. Navidad , D. S. Torbela , J. J. Adtoon
Durian is exceedingly abundant in the Philippines, providing incomes for smallholder farmers. But amidst these things, durian is still vulnerable to different plant diseases that can cause significant economic loss in the agricultural industry. The conventional way of dealing plant disease detection is through naked-eye observation done by experts. To control such diseases using the old method is extensively laborious, time-consuming and costly especially in dealing with large fields. Hence, the proponent’s objective of this study is to create a standalone mobile app for durian leaf disease detection using the transfer learning approach. In this approach, the chosen network MobileNets, is pre-trained with a large scale of general datasets namely ImageNet to effective function as a generic template for visual processing. The pre-trained network transfers all the learned parameters and set as a feature extractor for the target task to be executed. Four health conditions are addressed in this study, 10 per classification with a total of 40 samples tested to evaluate the accuracy of the system. The result showed 90% in overall accuracy for detecting algalspot, cercospora, leaf discoloration and healthy leaf.
Volume: 11
Issue: 6
Page: 4962-4971
Publish at: 2021-12-01
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