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30,411 Article Results

Implementation of fuzzy in DQ control of PV based inverter with plug-in electric vehicles

10.11591/ijape.v14.i3.pp666-675
Hanumesh Hanumesh , Arul Ponnusamy , Dhamodharan Selvaraj , Tanuja Koppa Shankaregowda , Venugopal Narasimhachar , Ananda Marilingappa Halasiddappa
In modern power systems, photovoltaic (PV) generation plays a vital role in sustainable energy supply. PV systems generate DC power, which is converted to AC using built-in converters for grid integration. The quality of power injected into the grid is crucial, especially in the presence of plug-in electric vehicles (PEVs) and non-linear loads, which introduce harmonics and dynamic disturbances. To enhance power quality, advanced control strategies are employed. This paper presents a comparative study of direct-quadrature (DQ) control techniques using traditional proportional-integral (PI) controllers and fuzzy logic controllers (FLCs) in a grid-connected PV system. The DQ control method simplifies the regulation of active and reactive power by transforming three-phase signals into a rotating reference frame. While PI controllers are widely used, they often struggle with non-linearities and load variations. FLCs, on the other hand, offer adaptive control without requiring precise mathematical models, making them more effective under dynamic conditions. The system under study includes PV generation, PEVs, and non linear loads. Performance metrics such as total harmonic distortion (THD), voltage stability, and power factor are analyzed. Results show that fuzzy controllers significantly improve power quality and system response.
Volume: 14
Issue: 3
Page: 666-675
Publish at: 2025-09-01

Design of a binary weighted multilevel voltage source inverter for renewable energy purposes

10.11591/ijape.v14.i3.pp712-721
Abdulkareem Mokif Obais , Ali Abdulkareem Mukheef
The flexibility and linearity of renewable energy generation techniques motivate the efforts to find high-performance circuitries capable of integrating the generation stations of renewable energy with the utility grid. As a result of its potential for power modules exploited in new generations of semiconductor switching devices, the voltage source inverter (VSI) has become widespread in the applications of renewable energy systems. In this paper, a new configuration of multilevel VSI is introduced. It is constructed of a unidirectional voltage supply having 15-nonzero levels and feeding a single-phase VSI equipped with an extra-freewheeling circuit. The output voltage of this configuration has 31 different voltage levels following a sinusoidal path. The unidirectional voltage supply is built of eight solid-state switching devices and four binary weighted DC voltage sources, which are realized by using appropriate solar panels. The simulation results of the introduced configuration have revealed almost sinusoidal output voltage and current for both inductive and resistive appliances. The number of employed switching devices is largely reduced compared to a conventional multilevel VSI. No harmonic reduction circuit or traditional pulse width modulation technique is employed in the current design. This system is designed and tested on PSpice.
Volume: 14
Issue: 3
Page: 712-721
Publish at: 2025-09-01

Effect of DC link capacitor short-circuit on an inverter fed induction motor performance

10.11591/ijape.v14.i3.pp631-639
Cheikh Oudaa , Ethmane Isselem Arbih Mahmoud , Mohamed Amine Khelif , Ahmed Mohamed Yahya , Bendiabdellah Azeddine , Abdel Kader Mahmoud
Induction motors are widely used in industrial power plants because of their durability, reliability and high performance under different operating conditions of the electrical system. It is also important to note that most of these motors are controlled by variable frequency drives. By adjusting the drive parameters, the motor can be managed according to design. The reliability of motor control systems based on variable speed drives is therefore crucial for industrial applications. Unlike induction motors, the power supply components of these electrical machines are delicate and susceptible to faults. To enhance the performance of the control-motor system, it is essential for researchers to understand how faults affect the drive system as a whole. In this context, this paper addresses short-circuit faults in the intermediate circuit capacitor of an induction motor driven by an inverter. The simulation results of these capacitors faults are presented, and their impact on the behavior of the rectifier, the inverter, and the induction motor is analyzed and interpreted.
Volume: 14
Issue: 3
Page: 631-639
Publish at: 2025-09-01

Boost efficiency performance through the enhancement of duty cycle based MPPT algorithm

10.11591/ijape.v14.i3.pp541-550
Ahmed Badawi , I. M. Elzein , Walid Alqaisi , Al Hareth Zyoud
The use of direct power control (DPC) has become popular as an effective control strategy for pulse width modulated (PWM) converters. The incremental conductance algorithm (INC) is utilized to control the duty cycle (D) in tracking the optimal point to increase power efficiency in wind energy conversion systems (WECS). WECS parameters are adjusted to achieve unity power factor, allowing the system to extract maximum power (𝑃𝑚𝑎𝑥) from WECS. Simulation results show that wind speed has a significant impact on the captured power, with a proportional relationship between wind speed and power. Control strategies are employed to optimize the (D) to reach the desired operating point. A DC-DC boost converter is connected to WECS, where the (D) controls the MOSFET to maintain 𝑉𝑜𝑢𝑡 at the optimal level on the DC link. Various wind speed profiles are simulated in this study to evaluate system efficiency, especially under conditions of rapid wind speed fluctuations. The controller based on (D) demonstrates superior tracking performance through the DC link, ensuring that 𝑉𝑜𝑢𝑡 remains at an optimal level.
Volume: 14
Issue: 3
Page: 541-550
Publish at: 2025-09-01

Bacterial meningitis knowledge, attitude and practice study among parents: a cross-sectional study

10.11591/ijphs.v14i3.25942
Siham Jbari , Karima El-Mouhdi , Hajar El Omari , Mounir Bourrous , Samia Boussaa
In Morocco, bacterial meningitis has consistently posed a significant public health challenge. Addressing this issue requires a deeper understanding of public perceptions to enhance awareness and prevention efforts. This quantitative cross-sectional study, conducted in health facilities in the Marrakech-Safi region from May 2022 to January 2023, employed Cronbach's Alpha with a reliability score of 72% to analyze the association between knowledge levels and various factors. The research revealed that the majority of participants were aged between 20 and 30 years (51.8%) and female (64.4%). The term most commonly used by Moroccans to describe purulent meningitis was “bad fever” (Skhana lkhayba), with 68.8% using this term. Additionally, 82% of participants had an average level of knowledge about the disease. Analysis indicated that families with four children demonstrated a higher level of knowledge compared to those with fewer or more children (p = 0.048). Participants residing in structured housing had a lower level of knowledge than those in unstructured housing (p = 0.017). Furthermore, educational attainment at the primary and secondary school levels was significantly associated with knowledge levels (p = 0.020 and p = 0.015, respectively). Understanding public perceptions and vulnerabilities related to bacterial meningitis can significantly improve disease control and prevention strategies.
Volume: 14
Issue: 3
Page: 1210-1220
Publish at: 2025-09-01

Prevalence and health literacy on high blood pressure among late adulthood individuals in Northeast Thailand: a cross sectional study

10.11591/ijphs.v14i3.24980
Kittipong Sornlorm , Arunrat Puncha Glingasorn
High blood pressure (HBP) is a leading risk factor for atherosclerotic cardiovascular disease and mortality. This study aimed to identify health literacy and other characteristics associated with HBP among late adults in Thailand. A cross-sectional study was conducted with 1,345 adults aged 35-59 years from Health Centers 7, 8, 9, and 10 in Northeast Thailand. Descriptive statistics and a generalized linear mixed model (GLMM) were used to determine the adjusted odds ratio (Adj. OR) and 95% confidence interval (CI). Results showed a prevalence of HBP at 24.76% (95% CI: 22.52-27.13). Multivariable analysis revealed a significant association between HBP and health literacy in finding health information (Adj. OR = 1.59, 95% CI: 1.28-1.96, p-value<0.001), as well as judging health information (Adj. OR = 1.34, 95% CI: 1.04-1.73, p-value=0.024). Additionally, history of smoking (Adj. OR=2.04, 95% CI: 1.29-3.24, p-value = 0.002), comorbidity (Adj. OR = 2.20, 95% CI: 1.76-2.74, p-value <0.001), physical activity (Adj. OR = 1.67, 95% CI: 1.28-2.16, p-value <0.001), and body mass index (Adj. OR = 2.21, 95% CI: 1.14-4.26, p-value=0.018) were found to be associated with HBP. Poor health literacy increases the risk of HBP. Relevant authorities must evaluate the group context and develop a suitable health literacy model.
Volume: 14
Issue: 3
Page: 1576-1584
Publish at: 2025-09-01

Enhancing cancer patient care via nursing apps: a systematic review

10.11591/ijphs.v14i3.26000
Dwi Retnaningsih , Niken Sukesi , Rozaq Isnaini Nugraha , Reanita Anggis Deraya , Maulida Izzatin Ni’mah , Iva Anissya Putri , Sinta Selviana
Digital health interventions have been shown to be effective in improving the quality of life for cancer patients through education, symptom management, and psychosocial support. This research aims to identify application content that can enhance the quality of life for cancer patients. The method used is a systematic review based on the population, intervention, comparison, outcome, study design (PICOS) criteria. From the search, 941 articles were found in the JSTOR database (n = 11), Science Direct (n = 54), ProQuest (n = 609), and Springer Link (n = 267), with a publication period from 2019 to 2024. The keywords used include: nursing applications, cancer, application content, quality of life, and randomized clinical trials (RCT). The inclusion criteria encompass RCT published in peer-reviewed journals, written in English, and utilizing digital applications as interventions to improve the quality of life for cancer patients. This research includes patients aged 16-80 from various countries, including China, Turkey, Ireland, Taiwan, and Australia. The results show that digital interventions such as digital storytelling, education through applications, nurse support programs, and virtual reality significantly improve patients' quality of life. The intervention content includes six main themes: medical education, symptom management, psychosocial support, multidisciplinary interventions, physical activity, and relaxation, as well as interactive digital platforms.
Volume: 14
Issue: 3
Page: 1232-1242
Publish at: 2025-09-01

Investigation of DC-AC converter control techniques with enhanced MOSFET gate driver

10.11591/ijape.v14.i3.pp676-687
Elmourabit Bouazza , Akaaboune Jalil , Oulaaross Mohamed , Benchagra Mohamed
To promote the use of photovoltaic (PV) systems and reduce costs, it is crucial to develop innovative approaches for grid integration, thereby contributing to global power generation. This article presents the development of an integrated power circuit using the TOSHIBA-TLP350 as a gate driver for the implementation of a single-phase H-bridge inverter, combined with inductor–capacitor–inductor (LCL) filters. This circuit was designed and controlled using a high-frequency pulse width modulation (PWM) signal generated by an ATmega328P microcontroller board, with a predefined program, to facilitate the filtration and reduction of both current and voltage harmonics present at the output of the filters. The study primarily focuses on a grid-connected mode of operation but also demonstrates adaptability to the islanded mode. The proposed application in this article can be adapted to other renewable energy conversion systems. The effectiveness of this achievement is demonstrated through detailed experimental results, highlighting the potential benefits for cost reduction and performance improvement of photovoltaic systems.
Volume: 14
Issue: 3
Page: 676-687
Publish at: 2025-09-01

Maternal behavior in provider of reproductive health education to early childhood

10.11591/ijphs.v14i3.24153
Melisa Yenti , Inda Mustika Permata , Mivtahurrahimah Mivtahurrahimah
Society often views sex education for early childhood as taboo, believing it is inappropriate for young children. However, early health education plays a crucial role in reducing the risk of sexual violence. In 2022, the Indonesian government recorded a high incidence of sexual violence, with 11.016 reported cases. This study examines the factors that influence maternal behavior in providing reproductive health education to early childhood in West Sumatra during 2021. This study uses a quantitative cross-sectional study method, the research conducted in May to October 2021 in West Sumatra. The study involved 257 mothers with children aged 3-6 years, selected through cluster sampling. We analyzed the data using univariate and bivariate analysis, employing the Chi-square method. The result shows that factors such as attitudes (0.029), exposure to information (<0.001), and family support (<0.001) significantly influence maternal behavior in providing reproductive health education. However, knowledge levels do not show a significant influence on maternal behavior. In addressing these findings, we recommend strengthening family support through family counseling training programs and increasing the availability and accessibility of information on reproductive health education.
Volume: 14
Issue: 3
Page: 1323-1329
Publish at: 2025-09-01

Incidence rate and spatial clustering of measles cases in Malaysia, 2018–2022

10.11591/ijphs.v14i3.25223
Mohd Rujhan Hadfi Mat Daud , Nor Azwany Yaacob , Wan Nor Arifin , Jamiatul Aida Md Sani , Wan Abdul Hannan Wan Ibadullah
The distribution of measles varies worldwide. Malaysia has seen fluctuating incidence rates of measles across its districts, highlighting the persistent challenge of measles control despite national vaccination efforts. This study aimed to map the incidence rates of measles and identify hotspots areas of measles in Malaysia between 2018 and 2022. The study utilized secondary data from the Disease Control Division, Ministry of Health Malaysia, and was analyzed through spatial autocorrelation techniques. Choropleth map applied to the incidence rate of measles and Global Moran’s I statistics quantified spatial autocorrelation, supplemented by local indicators of spatial association (LISA) for localized analysis. The measles incidence rate exceeded 500 per million population in Bintulu, Marudi, and Miri, Sarawak in 2018 and in Gua Musang, Kelantan in 2019. There is a downward trend in the incidence rate across the districts in Malaysia. The Global Moran’s I statistic revealed significant positive spatial autocorrelation of measles cases in Malaysia from 2018 to 2022. Districts, specifically in Klang Valley, have been identified as persistent hotspot areas. There is a need for continuous surveillance, adequate vaccination coverage, and supplementary public health measures, especially in identified hotspot areas, in order to achieve measles elimination goals in Malaysia.
Volume: 14
Issue: 3
Page: 1119-1128
Publish at: 2025-09-01

Cross-cultural adaptation, validity, and reliability of the Indonesian version of the Hill-Bone high blood pressure therapy compliance scale

10.11591/ijphs.v14i3.23685
Eldawati Eldawati , Faridah Mohd Said , Nur Syazana Umar
Hypertension is a long-term condition that enables individuals to take an active role in managing their health care— inadequate adherence to medication regimens is a major factor contributing to treatment failure. We translated and updated the Hill-Bone high blood pressure therapy compliance scale for use in Indonesia, where systemic hypertension is becoming increasingly prevalent.  This study aims to evaluate the validity and reliability of the Indonesian version of the Hill-Bone high blood pressure therapy compliance scale. The descriptive cross-sectional research was conducted in East Java, Indonesia, during June and July 2021. For the purpose of selecting 144 persons who had hypertension, a convenience sample was utilized. The Hill-Bone high blood pressure therapy compliance instrument was translated from English into Indonesian using a forward-backward translation method, followed by evaluation by an expert panel and pilot testing. To assess its reliability, the Cronbach's alpha coefficient and item-total correlation were utilized. A Kaiser-Meyer-Olkin (KMO) value of 0.945 confirmed the adequacy of the sample for the study. Additionally, the Bartlett’s test yielded a significant result (X² = 132.41; p < 0.001), supporting the appropriateness of conducting a factor analysis. Using factor analysis, the Hill-Bone high blood pressure therapy compliance scale revealed a single factor with an eigenvalue >1 that explained 42.13% of the total variation. The Cronbach alpha coefficient of the Hill-Bone high blood pressure therapy compliance scale was 0.901. The Hill-Bone high blood pressure therapy compliance instrument has been successfully translated and tailored for the Indonesian population, with consideration of their cultural context. In order to provide an accurate prediction regarding the impact that this intervention would have on patients' adherence, the Hill-Bone high blood pressure therapy compliance scale could be of assistance.
Volume: 14
Issue: 3
Page: 1595-1600
Publish at: 2025-09-01

Evaluation of the project to develop an information system for promoting community health

10.11591/ijphs.v14i3.25879
Patchana Hengboriboonpong Jaidee , Sirichai Junphum , Supattra Assawamaitree , Nisa Rattanadilok Na Phuket , Nattakarn Sittisaman , Wanasara Chaoniyom
This study aimed to evaluate the Thailand Community Network Appraisal Program (TCNAP) during 2020-2022, utilizing a developmental evaluation framework based on the CIPP model. Data collection employed a mixed methods approach. Methods included in-depth interviews and focus group discussions with 204 representatives from the Healthy Community Strengthening Office under the Thai Health Promotion Foundation (Thai Health), the Research and Development Community Health System Center, the Center of Community Database Management, and the Regional Center of Academic Support for Network Management. Quantitative data were collected through online surveys assessing the effectiveness of the TCNAP project from 376 delegates of the co-creation livable community network. Descriptive statistics were used for quantitative data analysis, while thematic and content analysis were applied for qualitative data. Results indicated that the project network expressed high satisfaction with the database usage, with a mean score of 3.99±0.76. It was observed that 8 out of 10 indicators successfully achieved their objectives. Additionally, the pragmatic utility of information derived from TCNAP was evident in formulating local development plans and garnering external support for enhancing community health and quality of life. This commitment to evidence-based practice is encapsulated by the phrase “Data equals stability.” However, sustaining the implementation of the TCNAP project posed significant challenges. Proposed developmental strategies include organizing knowledge exchange activities, improving data collection tools and formats, and providing budgetary support tailored to the area context. Additionally, enhancing the operational system of TCNAP is crucial to ensure stability, convenience, efficiency, and adaptability for both current and future use.
Volume: 14
Issue: 3
Page: 1468-1478
Publish at: 2025-09-01

LoRa-enabled remote-controlled surveillance robot for monitoring and navigation in disaster response missions

10.11591/ijra.v14i3.pp311-321
Anita Gehlot , Rajesh Singh , Rahul Mahala , Mahim Raj Gupta , Vivek Kumar Singh
Rescue missions must be conducted within a strict timeframe, and the safety of all rescuers and civilians is prioritized. The proposed system aims to design a remote-operated aerial surveillance robot for disaster-affected areas for search and rescue missions. Real-time video transmission and RS-232 long-range communication enable operators to navigate rough environments and monitor data collected in real-time. This powerful tool ensures the protection of human life while collecting accurate and meaningful data. Cloud storage for data and surveillance strengthens the system, preventing part failure and fostering collaboration among users. This is a significant step towards using Internet of Things systems alongside remote-controlled robots in disaster response. The robot's key contribution to disaster management is identifying the environment, addressing issues of no visibility, complicated terrains, and speed. Its modification and expansion capabilities make it useful in armed surveillance, industrial monitoring, and environmental studies, making it an important innovation for many other fields.
Volume: 14
Issue: 3
Page: 311-321
Publish at: 2025-09-01

Multi-robot coverage algorithm in complex terrain based on improved bio-inspired neural network

10.11591/ijra.v14i3.pp348-360
Fangfang Zhang , Mengdie Duan , Jianbin Xin , Jinzhu Peng
Biological neural network (BNN) algorithms have become popular in coverage search in recent years. However, its edge activity values are weak, and it is simple to fall into a local optimum at a late stage of coverage. When applied to complex environments, the 3D BNN network structure has high computational and storage complexity. In order to solve the above problems, we propose an algorithm for multi-robot cooperative coverage of complex terrain based on an improved BNN. The algorithm models the complex terrain using a 2.5-dimensional (2.5D) elevation map. Combining the dual-layer BNN network with the 2.5D elevation map, we propose an elevation value priority mechanism. This mechanism lets the robot make elevation-based decisions and prioritizes higher terrain areas. The dual neural network's first layer plans the robot's path in normal mode. The second network layer helps the robot escape the local optimum. Finally, the algorithm's full coverage effect in complex terrains and the speed of covering high terrain are verified by simulations. The experiments show that our algorithm preferentially covers high points of the region and eventually covers 100% of complex terrain. Compared with other algorithms, our algorithm covers more efficiently and takes fewer steps than others. The speed of covering high terrain areas has increased by 34.51%.
Volume: 14
Issue: 3
Page: 348-360
Publish at: 2025-09-01

Hybrid deep learning and active contour for segmenting hazy images

10.11591/ijra.v14i3.pp429-437
Firhan Azri Ahmad Khairul Anuar , Jenevy Jone , Raja Farhatul Aiesya Raja Azhar , Abdul Kadir Jumaat
Image segmentation seeks to distinguish the foreground from the background for further analysis. A recent study presented a new active contour model (ACM) for image segmentation, termed Gaussian regularization selective segmentation (GRSS). This interactive ACM is effective for segmenting certain objects in images. However, a weakness of the GRSS model becomes apparent when utilized on hazy images, as it is not intended for such conditions and produces inadequate outcomes. This paper introduces a new ACM for segmenting hazy images that hybridizes a pretrained deep learning model, namely DehazeNet, with the GRSS model. Specifically, the haze-free images are estimated using DehazeNet, which fuses the information with the GRSS model. The new formulation, designated as GRSS with DehazeNet (GDN), is addressed via the calculus of variations and executed in MATLAB software. The segmentation accuracy was evaluated by calculating Error, Jaccard, and Dice metrics, while efficiency was determined by measuring processing time. Despite the increased processing time, numerical experiments demonstrated that the GDN model achieved higher accuracy, as indicated by the lower error and higher Jaccard and Dice than the GRSS model. The GDN model can potentially be formulated in the vector-valued image domain in the future.
Volume: 14
Issue: 3
Page: 429-437
Publish at: 2025-09-01
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