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29,939 Article Results

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

Knowledge, attitudes, and practices of Indonesian medical and non-medical undergraduate students toward COVID-19

10.11591/ijphs.v11i1.20784
Thania Lathifatunnisa Putri Agusti , Nahwa Arkhaesi , Anugrah Riansari , Rebriarina Hapsari
As the coronavirus disease 2019 (COVID-19) pandemic spread across Indonesia, good knowledge, proper attitude, and appropriate practices among undergraduate students must be achieved before starting a face-to-face lecture. These are also important since most students are active in social media and can spread true or false rumors regarding COVID-19. This study aimed to assess the level of knowledge, attitudes, and practices of medical and non-medical undergraduate students toward COVID-19. A 51-item online questionnaire was developed and sent to random undergraduate students from different faculties in Universitas Diponegoro, Indonesia. A total of 482 students completed the survey. The Chi-square test showed significant associations in the level of knowledge, attitudes, and practices towards the COVID-19 between medical and non-medical students, where medical students have better knowledge, attitudes, and practices than non-medical students. This study's findings may become the basis for an awareness campaign planning among students in particular and the public in general, which at this time most student activities are still carried out online and to prepare face-to-face lectures and also to deepen the material regarding COVID-19 among students, especially non-medical students, and furthermore, help to guide the efforts and plans of state health authorities for better containment of COVID-19.
Volume: 11
Issue: 1
Page: 185-194
Publish at: 2022-03-01

Dengue hemorrhagic fever vulnerability assessment in Gorontalo Regency using analytic hierarchy process and geoinformation techniques

10.11591/ijphs.v11i1.21084
Ririn Pakaya , Yanti Hz. Hano , Muhammad Ramdhan Olii
One method of reducing the spread of dengue hemorrhagic fever (DHF) is to provide a map of DHF-prone locations based on spatial analysis. The major way to prevent the spread of DHF is to manage and control its vector by focussing on specific regions of localisation and removing appropriate breeding circumstances. Spatial analysis can detect DHF clusters that are larger than expected based on the underlying data. This research aimed to identify and map DHF vulnerability zones based on many parameters within the scope of the analytical hierarchy and geographical information systems (GIS). We found that the consistency ratio of 0.079 for analytic hierarchy process (AHP) factor weights was judged to be satisfactory. The population density, distance to the road, and distance to health facilities were shown to be the most relevant factors in determining DHF vulnerability. Gorontalo Regency is dominated by low vulnerability classes with an area of 139,493.5 ha or 65.08% of the total area. The GIS-AHP process could be used to assess transmissible DHF vulnerability zonation, which would aid in improving surveillance strategies for DHF and other vector-borne diseases in order to encourage prevention and control actions.
Volume: 11
Issue: 1
Page: 138-148
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

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

The measurement set representation of the body posture based on group theory

10.11591/ijeecs.v25.i3.pp1297-1307
Changjian Deng , Xiaona Xie
The foundation of measurement is the representation of measurement set. The paper proposes a body posture measurement set representation method based on concepts of group, fields, and ring. It attempts to explore the intrinsic relationship among numerous different measurement set. The attitude sensor is used to measure the attitude, and the measurement set representation and processing are analyzed based on the lie group theory in the paper. In the paper, the paper maps body posture data into image, and it is easier to identify the error of posture measurement data. Meanwhile, the simulation and test results show that the method can represent body posture data and detect it’s defects easily.
Volume: 25
Issue: 3
Page: 1297-1307
Publish at: 2022-03-01

Three phase induction motor torque tracking algorithm based on the rotor time constant identification

10.11591/ijeecs.v25.i3.pp1320-1327
Najimaldin M. Abbas , Dawood N. Saleh , Ali M. Shakor
The indirect vector control system can realize the on-line identification of the rotor time constant based on electromagnetic torque. However, still effective range of the torque model is suitable only for heavy load conditions. In this paper, an improved torque tracking model is constructed by modifying the conventional torque model with rotor time constant identification. Through the establishment of the small signal model of the identification system, the stability of the torque model is deeply analyzed, and it is concluded that the torque model has two balance points, namely the expected balance point and the error balance point; the error balance point limits the scope of the torque model root cause. The simulation show that the problem of unbalance point can be avoided with the aid of the proposed algorithm. In addition, the design ideas of proportional-integral adaptive law parameters are given from the two perspectives of system stable operation and optimal convergence process.
Volume: 25
Issue: 3
Page: 1320-1327
Publish at: 2022-03-01

Efficient electrocardiogram signal compression algorithm using dual encoding technique

10.11591/ijeecs.v25.i3.pp1529-1538
Khalida Shaaban Rijab , Mohammed Abdul Redha Hussien
In medical practices, the storage space of electrocardiogram (ECG) records is a major concern. These records can contain hours of recording, necessitating a large amount of storage space. This problem is commonly addressed by compressing the ECG signal. The proposed work deal with the ECG signal compression method for ECG signals using discrete wavelet transform (DWT). The DWT appeared as powerful tools to compact signals and shows a signal in another time-frequency representation. It is very appropriate in the elimination & removal of redundancy. The ECG signals are decomposed using DWT. After that, the coefficients that result from DWT are threshold depending on the energy packing efficiency (EPE) of the signal. The compression is achieved by the quantization and dual encoding techniques (run-length encoding & Huffman encoding). The dual encoding technique compresses data significantly. The result of the proposed method shows better performance with compression ratios and good quality reconstructed signals. For example, the compression ratio (CR)=20.6, 10.7 and 11.1 with percent root mean square difference (PRD)=1%, 0.9% and 1% for using different DWT (Haar, db2 and FK4) Respectively.
Volume: 25
Issue: 3
Page: 1529-1538
Publish at: 2022-03-01

Performance comparison and impact of weather conditions on different photovoltaic modules in two different cities

10.11591/ijeecs.v25.i3.pp1275-1286
Caouthar Bahanni , Mustapha Adar , Sofia Boulmrharj , Mohammed Khaidar , Mustapha Mabrouki
This work is based on a comparative study of the impact of meteorological conditions as well as the assessment of the production performance of two identical photovoltaic stations installed in two Moroccan cities, the stations are based on three different technologies. The measures of one year of operation from January 2017 to December 2017 were evaluated. The annual average performance ratios were found to be 82.42%, 79.99% and 78.74% in Beni Mellal, and 85.29%, 84.61% and 70.41% in El Jadida for the polycrystalline (pc-Si), monocrystalline (mc-Si), and amorphous (a-Si) respectively. The photovoltaic efficiency was calculated at 12.24%, 11.89%, and 11.71% in Beni Mellal; and 12.59%, 12.49%, and 10.42% in El Jadida by the same order. Statistical analysis was carried out to establish the correlation with photovoltaic (PV) production showed that after irradiation, the temperature is the most influencing meteorological factor for PV production, revealing a degradation in the performance ratio of 2.5%, 2%, and 1% for each increase of 8 °C in temperature for monocrystalline, polycrystalline and amorphous technologies respectively at Beni Mellal. While at El Jadida the reduction in the performance ratio is evaluated by 5.5%, 5.2%, and 3% for each 8 °C increase in temperature for the same order.
Volume: 25
Issue: 3
Page: 1275-1286
Publish at: 2022-03-01

Evaluating android smartphone’s bluetooth received signal strength indicator measurements for social distancing

10.11591/ijaas.v11.i1.pp29-37
Majid Faleh Alanezi , Muhammad Tajammal Chughtai
This paper presents a digital solution to reduce transmission of coronavirus disease 2019 (COVID-19) by maintaining social distance between the general public. The object is achieved by using bluetooth, which is already handy for almost everyone in the general public and comes as a standard feature in smartphones. The present technique uses an indirect method to calculate the range between the two objects. 5,300 samples were collected by adjusting the receiver at a range of angles to calculate the intensity of the bluetooth signal. The observations are presented in the form of plotted graphs between the number of samples and the average received signal strength indicator (RSSI) value at a particular angle of rotation.
Volume: 11
Issue: 1
Page: 29-37
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

A human vision based system for biometric images recognition

10.11591/ijeecs.v25.i3.pp1508-1517
Wassila Boukhari , Mohamed Benyettou , Belmadani Abderrahim
In this paper, a universal biometric system based on human vision is proposed. From recent biological and physiological results, A human identification system that approximates the natural vision and recognition of individuals is conceived. Liquid state machine (LSM), as a recurrent spiking neural network, is highly inspired by the brain neural architecture with low training cost. However, input dimension of large scale images requires efficient processing at the cost of performance or resource overhead. This paper propose a new neural input coding for images based on frequency signals rather than pixels. Each image is filtered and fragmented then the LSM liquid (or reservoir) will receive, first, high frequency signals, then low frequency signals from each fragment. The two sets of output neurons states corresponding to each type of filter will be matched to the entire enrollment database. A weighted sum rule between the matching results will determine the right class of a biometric image. The system was tested on three different biometric datasets: face, palmprint and off-line signature, results show the reliability of the proposed approach.
Volume: 25
Issue: 3
Page: 1508-1517
Publish at: 2022-03-01

Determinants of mental health status using depression anxiety stress scales during the COVID-19 pandemic: a systematic review

10.11591/ijphs.v11i1.20965
Riska Nabila , Rizma Adlia Syakurah , Rosyila Rosyila
Coronavirus disease 2019 (COVID-19) is not only being a public physical health emergency, but also affecting global mental health, as evidenced by worldwide panic purchases, independent quarantine, and social distancing. Therefore, it is important to concern how a pandemic might affect one's mental state. The aim of this review was to determine mental health status in the community during COVID-19 pandemic using the depression anxiety stress scales (DASS) self-assessment. A comprehensive and systematic literature search published from January-May 2020 through electronic databases Pubmed, ScienceDirect, and Google Scholar was conducted based on guidelines from Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). This study used a self-report tool DASS to assess depression, anxiety, and stress. Seven studies with a total of 15.020 participants that were published in 2020 were included in the analysis. The characteristics that were chosen to determine the mental health status (depression, anxiety, and stress) were age, sex, level of education, and marital status. Findings from this review showed that sociodemographic characteristics (age, sex, marital status, education level) contributed to mental health status (depression, anxiety, and stress).
Volume: 11
Issue: 1
Page: 240-247
Publish at: 2022-03-01

Factors of independent of activities of daily living among osteoarthritis elderly

10.11591/ijphs.v11i1.21065
Hariza Adnani , Anna Nur Hikmawati , Siranee Sihapark , Dwi Suharyanta , Dwi Widiyaningsih
The aim of this cross-sectional study was to determine the relationship between ability to carry out activities of daily living (ADL) independently and functional ability, mental status, exercise habits, and other factors, among elderly people with osteoarthritis (OA) at Pleret Bantul, Indonesia. Measures included Katz Index of Independence in ADL, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and the Short portable mental status questionnaire (SPMSQ). Chi-square analyses odds ratios (OR) were calculated. The study results showed that the ADL independence among the sample was associated with younger age OR=.347; 95% CI =.253-.477), exercise habit OR=7.07; 95% CI=2.86-17.47) and functional ability (OR=2.34; 95% CI=1.82-3.01). There was no relationship between living situation or mental status and ADL. These findings can be used as information to design programs to support independence in ADLs among elderly persons with OA in Indonesia.
Volume: 11
Issue: 1
Page: 1-7
Publish at: 2022-03-01
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