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Machine learning algorithms for electrical appliances monitoring system using open-source systems

10.11591/ijai.v11.i1.pp300-309
Viet Hoang Duong , Nam Hoang Nguyen
Two main methods to minimize the impact of electricity generation on the environment are to exploit clean fuel resources and use electricity more effectively. In this paper, we aim to change the user's electricity usage by providing feedback about the electrical energy consumed by each device. The authors introduced two devices, load monitoring device (LMD) and activity monitoring device (AMD). The function of the LMD is to provide feedback on the operating status and energy consumption of electrical appliances in a home, which will help people consume electrical energy more efficiently. The parameters of LMD are used to predict the on/off state of each electrical appliance thanks to machine learning algorithms. AMD with audio sensors can assist LMD to distinguish electrical devices with the same or varying power over time. The system was tested for three weeks and achieved a state prediction accuracy of 93.60%.
Volume: 11
Issue: 1
Page: 300-309
Publish at: 2022-03-01

Notice of Retraction A parallel time series algorithm for searching similar sub-sequences

10.11591/ijeecs.v25.i3.pp1652-1661
Firas Mahmood Saeed , Salwa M. Ali , Mohammed W. Al-Neama
Notice of Retraction-----------------------------------------------------------------------After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IAES's Publication Principles.We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.The presenting author of this paper has the option to appeal this decision by contacting ijeecs.iaes@gmail.com, ijeecs@iaesjournal.com.-----------------------------------------------------------------------Dynamic time warping (DTW) is an important metric for measuring similarity for most time series applications. The computations of DTW cost too much especially with the gigantic of sequence databases and lead to an urgent need for accelerating these computations. However, the multi-core cluster systems, which are available now, with their scalability and performance/cost ratio, meet the need for more powerful and efficient performance. This paper proposes a highly efficient parallel vectorized algorithm with high performance for computing DTW, addressed to multi-core clusters using the Intel quad-core Xeon co-processors. It deduces an efficient architecture. Implementations employ the potential of both message passing interface (MPI) and OpenMP libraries. The implementation is based on the OpenMP parallel programming technology and offloads execution mode, where part of the code sub-sequences on the processor side, which are uploaded to the co-processor for the DTW computations. The results of experiments confirm the effectiveness of the algorithm.
Volume: 25
Issue: 3
Page: 1652-1661
Publish at: 2022-03-01

STEM literacy in growing vocational school student HOTS in science learning: A meta-analysis

10.11591/ijere.v11i1.21647
Qori Agussuryani , Sudarmin Sudarmin , Woro Sumarni , Edy Cahyono , Ellianawati Ellianawati
The low higher order thinking skills (HOTS) of vocational students is shown from the approaches and models used in learning that are not specific, learning activities are limited to methods that have not been able to grow HOTS. One of the approaches offered in science, technology, engineering, and mathematics (STEM). The research objective was to analyze STEM in growing HOTS through literature studies. The data collection method used a STEM systematic review from 2016-2020 based on the indexed findings of Google Scholar and Scopus (Database: Elsevier, Scopus, and Science Direct). Qualitative descriptive data analysis technique was employed on inductive deductive patterns. Based on data analysis, there are findings of 18 Google Scholar indexed articles and 20 Scopus indexed articles according to the inclusion criteria. The results showed that: i) STEM integration patterns in growing HOTS obtained six STEM literacy patterns of 28% on Google Scholar and four STEM integration patterns by 65% in Scopus; ii) The trend of STEM and HOTS research from 2016-2020 has increased the most in 2020 by 56% on Google Scholar and 40% on Scopus. Most of the methods used are research and development (R&D) with data analysis techniques in the form of t-test on Google Scholar data and survey methods with descriptive analysis on Scopus data. The difference in the publication trend on the integration pattern, the number of samples used is greater in the Scopus data. The method used is more dominant in the survey than R&D, but whatever the research design in STEM literacy is, in principle, it can empower HOTS to increase learning activities.
Volume: 11
Issue: 1
Page: 51-60
Publish at: 2022-03-01

Organizational safety climate and workplace violence among primary healthcare workers in Malaysia

10.11591/ijphs.v11i1.20929
Sudeash Rajakrishnan , Victor Hoe Chee Wai Abdullah , Nasrin Aghamohammadi
Workplace violence (WPV) has become a global safety and health concern in recent times particularly in the healthcare sector. In addition, low levels of organisational safety climate (OSC) have been associated with higher occurrence of occupational related health outcomes. Hence, the objective of this study was to determine the association between organisational safety climate and workplace violence among government primary healthcare workers. A cross-sectional study among a stratified random sample of 838 primary healthcare workers (HCW) from the nine district health offices under the Selangor state health department. Two standardized self-administered questionnaires were used to obtain data on WPV and OSC. Logistic regression models used to estimate the association between OSC and WPV. Prevalence of WPV was 68.5% whereby verbal abuse was the most common type (65%) followed by bullying (27%), physical violence (6%) and sexual harassment (2%). Nurses (29.7%) were the most affected by WPV. The main perpetrators were relatives of patients (38%). Low level of OSC was also associated with WPV (OR=3.04, 95% CI=1.45-6.41). The results of this study confirmed that safety climate is associated with WPV. Hence, interventions and efforts to prevent WPV among HCW should also include improving organizational safety factors.
Volume: 11
Issue: 1
Page: 88-97
Publish at: 2022-03-01

Learning achievement of extroverted students in algebraic operations by tutorial learning: A single subject research

10.11591/ijere.v11i1.21747
Sri Adi Widodo , Desi D. Sari , Samsul Maarif , Dafid S. Setiana , Krisna S. Perbowo
The purpose of this study was to improve the learning achievement of extroverted students on algebraic operations using the tutorial method. This type of research was a single subject with AB design, where A is the baseline condition, and B is an intervention condition. The research subjects were selected based on a purposive sampling technique with the help of the Keirsey Temperament Sorter (KTS) test in selecting extrovert subjects. Data collection techniques were using observation and test methods. Observation was used to collect data and record all behavior of extrovert subjects during the study. The tests in this study were the KTS and learning achievement tests. The KTS was used to determine subjects with an extroverted temperament while learning achievement tests are used to determine the ability of extrovert students to solve algebraic operation questions at the junior high school level. The results showed that the tutorial method had a positive effect on extrovert student learning achievement in algebraic operation material. This can be seen from the results of the analysis in conditions and between conditions which show that the intervention condition has a better tendency when compared to the baseline condition to the intervention. Besides that, the mean level obtained at the baseline is 50 and increases in the intervention condition with a mean level of 88.5.
Volume: 11
Issue: 1
Page: 99-107
Publish at: 2022-03-01

Modelling minicab drivers' disordered behaviour for choosing passenger and destination in Akure, Nigeria

10.11591/ijaas.v11.i1.pp19-28
Adetayo Olaniyi Adeniran , Olorunfemi Samuel , Njoku Ikpechukwu
This study investigated the disordered behaviour of minicab drivers for choosing passenger and destination in Akure using the multinomial model and nested logit model respectively. Information was gathered by the distribution of questionnaires to minicab drivers plying the Federal University of Technology Akure (FUTA) North gate to the Oja-Oba axis in Akure, Nigeria. The objectives were to validate the performance of logit models; to identify the major parameters for selecting passenger and destination by disordered minicab drivers, and to examine the interrelationships of variables employed. Primary data was obtained from 314 respondents. The study found that the nested logit model gives a better utility value than the multinomial logit model with ρ02 = 0.48 more than ρc2 = 0.46 which justifies the assertion. Also, the major parameters for selecting passengers and destination by disordered minicab drivers in Akure are transport rates variable, distance variable, and travel time variable. The study recommends that an accurate pricing policy of minicab operation should be efficiently formulated, implemented, and enacted to prevent overcharging and undercharging.
Volume: 11
Issue: 1
Page: 19-28
Publish at: 2022-03-01

Induction motor efficiency maximizing based on torque per power index

10.11591/ijeecs.v25.i3.pp1266-1274
Najimaldin M. Abbas , Mohammed Obaid Mustafa , Ali M. Shakor
In this paper, efficiency maximization of induction motor variable frequency speed regulation system based on torque per power (TPP) index is proposed. The detail of the mathematical model of the induction motor considering the iron loss and the rotor field orientation, the relationship between the motor torque loss power ratio and the motor speed and slip frequency presented. The functional relationship between the torque loss power ratio and the motor speed and slip is derived, and the derivative is obtained to find the optimal slip frequency corresponding to the maximum value. The simulation model and experimental platform of the control system were built in Matlab/Simulink to verify the effectiveness of the method. The result approved the torque loss power ratio takes the maximum value, the high energy efficiency operation with the minimum power loss of the motor control system is realized.
Volume: 25
Issue: 3
Page: 1266-1274
Publish at: 2022-03-01

Family empowerment and family ability to self-care for heart failure patients in the intermediate care room

10.11591/ijphs.v11i1.20989
Alfrina Hany , Eni Yulistianingsih , Bintari Ratih Kusumaningrum
Heart failure is a chronic disease that has a high rehospitalization rate. The cause of rehospitalization is due to inadequate self-care behavior. For that we need the role of the family in self-care by means of family empowerment. The purpose of this study was to determine the relationship between family empowerment and the ability of families to do self-care in the intermediate care room in Malang. This study a cross sectional design and consecutive sampling technique with 100 subjects. The family empowerment scale (FES) and contribution caregiver self care heart failure index (CCSCHFI) are used to assess families' abilities to care for themselves. The statistical test used is the Pearson correlation test. The mean value of family empowerment is 127.00 and the ability to do self-care is 48.28. Pearson correlation test results obtained p-value 0.000<alpha 0.05. In heart failure patients, there is a high correlation between family support and their ability to self-care. Family empowerment and ability to do self-care is lacking due to a lack of family knowledge about heart failure and its treatment. It is recommended that the nurse be more maintenance in providing education related to patient self-care to the family during treatment by empowering the family.
Volume: 11
Issue: 1
Page: 248-253
Publish at: 2022-03-01

Automated sleep apnea classification based on statistical and spectral analysis of electrocardiogram signals

10.11591/ijeecs.v25.i3.pp1450-1457
Lavu Venkata Rajani Kumari , Anumolu Lohitha , Atluri Kavya , Nallamothu Tarakeswar
Well-being sleep is a significant segment for maintaining mental comparably as genuine flourishing. More than six-hour recordings are required to distinguish sleep apnea, which are extremely long duration recordings. It's difficult for a human to deduce the problem from electrocardiogram (ECG) readings. As a result, automated PC-based assessment is expected to detect abnormalities as early as possible. An automated framework for the classification of obstructive sleep apnea (OSA) can moreover be distinguished from the ECG Signals. From the Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) polysomnographic informational collection, 18 subjects have been considered as data signals. The signal is segmented into 30 seconds and features are extracted by using the discrete wavelet transform (DWT). DWT of seven-level decomposition is applied on the segmented signal by using the wavelet 'sym3'. 12 features were extracted from each level and all of them are used to categorize the five types of sleep apnea. Random forest, k-nearest neighbor (KNN), and support vector machine (SVM) are used for classification of apnea. The random forest (RF) classifier outperformed the others with an average of accuracy (Acc) of 98.53% according to the study's findings. The experimental results show the developed model outperforms the state of art algorithms in the literature.
Volume: 25
Issue: 3
Page: 1450-1457
Publish at: 2022-03-01

Determinants of health-related quality of life in Iranian patients after recovery from COVID-19: demographic influences and insomnia

10.11591/ijphs.v11i1.21039
Mohsen Saffari , Hormoz Sanaeinasab , Hojat Rashidi-Jahan , Amir Pakpour Hajiagha , Hosein Mahmoudi , Faten Al-Zaben , Harold George Koenig
The current study sought to identify factors that may affect health-related quality of life (HRQoL) in patients recovering from COVID-19 infection in Iran. In a cross-sectional study 258 patients diagnosed with COVID-19, participants completed a questionnaire approximately one month after hospital discharge when demographic and clinical factors (including insomnia) and HRQoL were assessed. A logistic regression was used. Age, gender, marital status, education, having child, early physician visit, early diagnosis, early hospitalization, symptom type, Rhesus factor, and level of insomnia were associated with various components of HRQoL (p<0.05). In multivariate analyses, poorer physical HRQoL was independently associated with female gender (OR=4.53; 95% CI=2.22-2.29), initial symptom of cough (OR=2.73; 95% CI=1.26-5.94), and insomnia (OR=2.74; 95% CI=1.22-6.14). Poorer mental HRQoL was associated with being age 40 years or older (OR=1.90; 95% CI=1.02-3.54), female gender (OR=2.48; 95% CI=1.26-4.88), initial symptom being cough (OR=3.12; 95% CI=1.46-6.68), and insomnia (sub-threshold insomnia, OR=3.19; 95% CI, 1.51-6.74, to severe insomnia, OR=3.86; 95% CI=1.35-11.07). Healthcare professionals should be aware that older people, female gender, those with initial symptom of cough, and insomnia may be at greater risk for poor quality of life following hospital discharge.
Volume: 11
Issue: 1
Page: 220-231
Publish at: 2022-03-01

Technological tools for virtual teaching and their effect on the satisfaction of online learning

10.11591/ijeecs.v25.i3.pp1634-1643
Omar Chamorro-Atalaya , Nestor Alvarado-Bravo , Florcita Aldana-Trejo , Madison Huarcaya-Godoy , Marco Anton-De los Santos , Juan Anton-De los Santos , Maritte Fierro-Bravo
The objective of the research is to analyze the satisfaction of the online learning of the applied electricity subject, when implementing technological tools for virtual teaching. The development of the research determines a high level of student satisfaction, finding the perception of reliability with 93.05%, that of security with 93.2%, that of answer’s capacity with 90.73% and empathy with 82.87%. Satisfaction with the technological tools of virtual teaching is related to the adequate and accessible use of simulation software during online learning, which allowed compliance with the syllable. In addition to the security and confidence when the teacher is willing to help him in the use of the simulation software, responding to it appropriately and quickly. Satisfaction of online learning of the applied electricity subject using virtual teaching tools is related to the teacher's sample of concern towards students regarding their academic needs and their expressed interests.
Volume: 25
Issue: 3
Page: 1634-1643
Publish at: 2022-03-01

An experimental evaluation of localization methods used in wireless sensor networks

10.11591/ijeecs.v25.i3.pp1518-1528
Mostapha Laaouafy , Fatima Lakrami , Ouidad Labouidya , Najib Elkamoun
The problem of localization in wireless sensor networks has received considerable attention from researchers over the past decades. Several methods and algorithms have been proposed to solve this problem. The effectiveness of these algorithms depends on the accuracy of the estimated positions and the information required to calculate the coordinates. In this paper, we propose to evaluate four of the most commonly used localization methods in sensor networks. Our study considers a mathematical description of the studied methods in order to evaluate their complexity, and then a practical implementation on the simulation tool Cooja. We evaluate the performance of the studied methods as a function of the number of deployed sensor nodes and their degree of mobility in terms of several performance metrics. The objective is to reveal the most suitable localization method for a particular case of deployment. Improvement proposals are also provided to improve the most relevant localization method for the investigated study.
Volume: 25
Issue: 3
Page: 1518-1528
Publish at: 2022-03-01

Alzheimer’s disease detection from optimal electroencephalogram channels and tunable Q-wavelet transform

10.11591/ijeecs.v25.i3.pp1420-1428
Digambar Vithhalbuwa Puri , Sanjay Nalbalwar , Anil Nandgaonkar , Abhay Wagh
Alzheimer’s disease (AD) is a non-curable neuro-degenerative disorder that has no cure to date. However, it can be delayed through daily activity assessment using a robust Electroencephalogram (EEG) based system at an early stage. A selection tech- nique using a Shannon entropy to signal energy ratio is proposed to select optimal EEG channels for AD detection. A threshold for channel selection is calculated using the best detection accuracy during backward elimination. The selected EEG channels are decomposed using Tunable Q-wavelet transform (TQWT) into nine different sub- bands (SBs). Four features: Katz’s fractal dimension, Tsallis entropy, Relyi’s entropy, and kurtosis are extracted for each SB. These features are used to train and test sup- port vector machine, k-nearest neighbor, Ensemble bagged tree (EBT), decision tree, and neural network for detecting AD patients from normal subjects. 16-channel EEG signals from 12 AD and 11 normal subjects recorded using the 10-20 electrode place- ment method are used for evaluation. Ten optimized channels are selected, resulting in 32.5% compression. The experimental results of the proposed method showed promis- ing classification accuracy of 96.20% with the seventh SB features and EBT classifier. The significance of these features was inspected by using the Kruskal-Wallis test.
Volume: 25
Issue: 3
Page: 1420-1428
Publish at: 2022-03-01

Performance analysis of neuro linguistic programming techniques using confusion matrix

10.11591/ijeecs.v25.i3.pp1696-1702
Arun Kumar , Supriya P. Panda
During numerous qualitative surveys, swish patterns and visual kinesthetic dissociation (V/KD) were employed to examine attitudes and past occurrences. Neuro-linguistic programming (NLP) workshops in both hypnotic and non-hypnotic experimental sessions were held for forty days. Results demonstrated that negative sentiments and various emotional factors were significantly higher in 10-days’ workshop sessions as compared to 40 days’ sessions. Following the qualitative sentiments recollection, NLP workshops with various activities in the fear and stress indexing segment were increased in length. The NLP procedure was followed by the decreased negative emotional intensity in both groups; also, the results have been improved when using swish patterns and V/KD techniques. The performance analysis shows the results of improving emotional and sentimental factors in various NLP workshops. The workshops ranged in length from five to forty days. The specifications for workshops were selected based on the human mind's pre-determined conditions. The performance factors of two significant NLP techniques used in NLP workshops were compared and both techniques' performance factors were found to be adequate in terms of modifying behavior patterns. Using the confusion matrix, the overall accuracy percentage between V/KD and swish patterns is calculated, and an increase from 0.65 to 0.83 in the stressed parameters is shown.
Volume: 25
Issue: 3
Page: 1696-1702
Publish at: 2022-03-01

The effect of practicum learning based audiovisual on students’ learning outcomes in Indonesian vocational secondary school

10.11591/ijere.v11i1.21762
Cicilia Dyah Sulistyaningrum Indrawati , Patni Ninghardjanti , Chairul Huda Atma Dirgatama , Arif Wahyu Wirawan
This research aimed to examine the effectiveness of practicum learning based audiovisual in improving students’ learning outcomes in vocational secondary schools. At the practical level, teachers play an important role in facilitating students by designing an appropriate method, media, and material of learning which represent the actual condition of workplaces. Thus, students can gain their learning skills and experiences. Quasi-experimental research was conducted in vocational secondary schools in Surakarta city, Indonesia. The research participants were 230 students categorized into the control group and the experimental group. The results showed the effectiveness of practicum learning based audiovisual in improving students’ learning outcomes effectively. The effectiveness can be proved by the average pretest score and post-test score between the control group and the experimental group. Considering its effectiveness, practicum learning based audiovisual can be used as an advanced model of learning in vocational secondary school especially in preparing students before joining the industrial circle. This research has shown the effectiveness of practicum learning based audiovisual in improving students’ learning outcomes in vocational secondary schools. It can be proved by the result of an independent t-test that shows significant differences in students’ learning outcomes in the control group and experimental group. Based on the results of research, the model of practicum based audiovisual learning can become an advanced model of practicum learning in vocational secondary schools, especially in non-engineering and technic majors.
Volume: 11
Issue: 1
Page: 403-408
Publish at: 2022-03-01
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