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29,922 Article Results

The anxiety symptoms among chronic kidney disease patients who undergo hemodialysis therapy

10.11591/ijphs.v9i4.20450
Shahrul Rahman , Rangga Pradido
Unresolved anxiety can lead to some impact on which a person tends to have a negative assessment of the meaning of life, decreased quality of life, emotional changes such as chronic depression and psychosis disorders. The general objective in this research is to find out the symptoms of anxiety symptoms of chronic kidney disease patients undergo hemodialysis. This research employed cross sectional design. This study used non-probability sampling type quota sampling. Sample was calculated using the Slovin formula obtained a sample size of 171. The proportion of patient with chronic kidney disease treated with hemodialysis based on the anxiety level resulting mild anxiety (86.5%) and moderate anxiety (13.5%). There are symptoms of anxiety symptoms in patients with chronic kidney disease undergoing hemodialysis.
Volume: 9
Issue: 4
Page: 281-285
Publish at: 2020-12-01

LMI based antiswing adaptive controller for uncertain overhead cranes

10.11591/ijece.v10i6.pp5793-5801
Nga Thi-Thuy Vu
This paper proposes an adaptive anti-sway controller for uncertain overhead cranes. The state-space model of the 2D overhead crane with the system parameter uncertainties is shown firstly. Next, the adaptive controller which can adapt with the system uncertainties and input disturbances is established. The proposed controller has ability to move the trolley to the destination in short time and with small oscillation of the load despite the effect of the uncertainties and disturbances. Moreover, the controller has simple structure so it is easy to execute. Also, the stability of the closed-loop system is analytically proven. The proposed algorithm is verified by using Matlab/Simulink simulation tool. The simulation results show that the presented controller gives better performances (i.e., fast transient response, position tracking, and low swing angle) than the state feedback controller when there exist system parameter variations as well as input disturbances.
Volume: 10
Issue: 6
Page: 5793-5801
Publish at: 2020-12-01

Effect of nutritional status on Rohingya under-five children in Bangladesh

10.11591/ijphs.v9i4.20546
Md Hasib , Md. Nazmul Hassan , Mehedi Hasan , Md. Shafiqul Islam Khan
The extent of nutritional status affecting Rohingya refugee under-five children has become a major health issues in Bangladesh. This study aimed to investigate the nutritional status and its effect on under-five Rohingya children in comparison with the areas of Bangladesh. A cross-sectional study of 300 under-five children were conducted by structured questionnaire from Rohingya camp (100), Cox’s Bazar (100) and Dumki (100) applying simple random method. Anthropometric indices (weight, height, mid-upper arm circumference (MUAC)) were measured in children aged 6-59 months. Indices were reported in z-scores and compared with WHO 2005 reference population. Data were analyzed by WHO Anthro-Plus Software and SPSS. About 41% Rohingya, 43% surrounding areas, and 46% Dumki were stunting in height-for-age z-score (HAZ) score respectively. Near about 13%, 11% and 4% were wasting in weight-for-height z-score (WHZ) score and 18%, 15% and 10% were underweight in weight for age Z-score (WAZ) score respectively. Food groups, Disease, worm infestation among 3 study areas were statistically significant (P< .05). Moreover, handwashing practice, vitamin-A consumption and worm infestation effects among diseases were statistically significant. In this study population, there was high prevalence of malnutrition among Rohingya children, especially wasting and underweight compared to other areas. Prevention of malnutrition plays an important role for having a healthy society of Rohingya Refugees.
Volume: 9
Issue: 4
Page: 358-363
Publish at: 2020-12-01

Automatic amyotrophic lateral sclerosis detection using tunable Q-factor wavelet transform

10.11591/ijai.v9.i4.pp744-756
Abdelouahad Achmamad , Abdelali Belkhou , Atman Jbari
Early diagnosis of amyotrophic lateral sclerosis (ALS) based on electromyography (EMG) is crucial. The processing of a non-stationary EMG signal requires powerful multi-resolution methods. Our study analyzes and classifies the EMG signals. In the present work, we introduce a novel flexible method for classification of EMG signals using tunable Q-factor wavelet transform (TQWT). Different sub-bands generated by the TQWT technique were served to extract useful information related to energy and then the calculated features were selected using a filter selection (FS) method. The effectiveness of the feature selection step resulted not only in the improvement of classification performance but also in reducing the computation time of the classification algorithm. The selected feature subsets were used as inputs to multiple classifier algorithms, namely, k-nearest neighbor (k-NN), least squares support vector machine (LS-SVM) and random forest (RF) for automated diagnosis. The experimental results show better classification measures with k-NN classifier compared with LS-SVM and RF. The robustness of the classification task was tested using a ten-fold cross-validation method. The outcomes of our proposed approach can be exploited to aid clinicians in neuromuscular disorders detection.
Volume: 9
Issue: 4
Page: 744-756
Publish at: 2020-12-01

Analysis and potential use of Google Trends as a monitoring tool for risk communication during COVID-19 pandemic

10.11591/ijphs.v9i4.20512
Nindya Mahfuza , Rizma Adlia Syakurah , Resiana Citra
COVID-19 Pandemic has become a major problem in various infected countries, including Indonesia. The proper risk communication strategy during this outbreak was important to reduce the impact. Therefore, this research was intended to assess the potential use of Google Trends as a tool to monitor risk communication during COVID-19 pandemic in Indonesia. Search patterns were analyzed using the terminology used to identify COVID-19 in Indonesia, followed by information-finding keywords 'gejala (symptoms)', 'mencegah (preventing)', and 'obat (drug)' keywords compared to the number of newly confirmed COVID-19 cases in Indonesia using time-lagged correlation analysis from December 31th, 2019 to April 20th, 2020. Peaks within respective timelines were qualitatively described according to current COVID-19 related events. ”Corona” was the terminology mostly used in Indonesia to identify COVID-19. There were five spikes observed from “corona” keyword timeline, which each spike was dependent on the media coverage and regulation by the Government. Validation using time-lagged correlation yields significant results between corona, corona symptoms, preventing corona and corona drugs compared to newly confirmed COVID-19 cases in Indonesia. Google Trends can potentially be used to maximize the improvement of risk communication and as a tool to monitor public restlessness during the COVID-19 pandemic in Indonesia by Government.
Volume: 9
Issue: 4
Page: 399-405
Publish at: 2020-12-01

The assesement of the shunt active filter efficiency under varied power supply source and load parameters

10.11591/ijece.v10i6.pp5621-5630
Yuriy Sychev , Boris Abramovich , Veronika Prokhorova
The results of theoretical and experimental studies on the problems of effective application of shunt active filters for power quality improvement and electromagnetic compatibility ensuring were presented in this article. Based on the different theories and methods, the most effective and well-studied control algorithms of shunt active filters were determined and analyzed to ensure their effective application in distributed generation systems and combined power supply systems. Mathematical and computer simulation models of shunt active filters with different control algorithms in distributed generation systems and combined power supply systems were developed. According to the results of mathematical modeling and computer simulation, the dependences were detected, reflecting the influences of internal and external parameters on the factors, determining the efficiency of the correction of power quality indicators. The range of permissible changes in the parameters of shunt active filters by saving the required efficiency level of power quality correction was detected under varied power supply system characteristics, load parameters and also in hybrid structures. The adaptive algorithm of the shunt active filter functioning under varied application conditions for automated power quality improvement is developed on the basis
Volume: 10
Issue: 6
Page: 5621-5630
Publish at: 2020-12-01

A neuro fuzzy image fusion using block based feature level method

10.11591/ijict.v9i3.pp195-204
S. Mary Praveena , R. Kanmani , A. K. Kavitha
Image fusion is a sub field of image processing in which more than one images are fused to create an image where all the objects are in focus. The process of image fusion is performed for multi-sensor and multi-focus images of the same scene. Multi-sensor images of the same scene are captured by different sensors whereas multi-focus images are captured by the same sensor. In multi-focus images, the objects in the scene which are closer to the camera are in focus and the farther objects get blurred. Contrary to it, when the farther objects are focused then closer objects get blurred in the image. To achieve an image where all the objects are in focus, the process of images fusion is performed either in spatial domain or in transformed domain. In recent times, the applications of image processing have grown immensely. Usually due to limited depth of field of optical lenses especially with greater focal length, it becomes impossible to obtain an image where all the objects are in focus. Thus it plays an important role to perform other tasks of image processing such as image segmentation, edge detection, stereo matching and image enhancement. Hence, a novel feature-level multi-focus image fusion technique has been proposed which fuses multi-focus images. Thus the results of extensive experimentation performed to highlight the efficiency and utility of the proposed technique is presented.  The proposed work further explores comparison between fuzzy based image fusion and neuro fuzzy fusion technique along with quality evaluation indices.
Volume: 9
Issue: 3
Page: 195-204
Publish at: 2020-12-01

Dynamic real-time capacity constrained routing algorithm for evacuation planning problem

10.11591/ijeecs.v20.i3.pp1388-1396
Jawad Abusalama , Sazalinsyah Razali , Yun-Huoy Choo , Lina Momani , Abdelrahman Alkharabsheh
Usually, disasters occur over a relatively short time anytime and anywhere. Most occupancies do not have absolute knowledge about the prevention or safety consciousness to deal with disasters. During disaster occurrence, evacuation processes are conducted to save people’s life, and if there is no appropriate evacuation plan, the situation will become worse. Thus, finding an optimal planning technique to evacuate occupants is critical in many cases i.e. emergency evacuation. In this paper, a Dynamic Real-Time Capacity Constrained Routing (DRTCCR) Algorithm has been proposed and analyzed. Such algorithm will investigate the capacity constraints of the evacuation network in real time by modelling the capacities based on time series to improve current solutions of the Emergency Route Planning (ERP) problem.  Such algorithm will produce an optimal solution for the ERP problem. Performance evaluation on many network models illustrates that the DRTCCR algorithm improves the previous evacuation planning by reducing the evacuation time as well as the computational cost. In addition, DRTCCR algorithm has the ability to recalculate and find out the optimal path dynamically in real time irrespective of the number of trapped people as well as the transportation network size. Analytical experiments have been carried out, which illustrates the efficiency of the proposed algorithm.
Volume: 20
Issue: 3
Page: 1388-1396
Publish at: 2020-12-01

Improving the delivered power quality from WECS to the grid based on PMSG control model

10.11591/ijece.v10i6.pp6349-6360
Shimaa A. Hussien , M. A. Deab , N. S. Hosny
Renewable energy has become one of the most energy resources nowadays, especially, wind energy. It is important to implement more analysis and develop new control algorithms due to the rapid changes in the wind generators size and the power electronics development in wind energy applications. This paper proposes a grid-connected wind energy conversion system (WECS) control scheme using permanent magnet synchronous generator (PMSG). The model works to improve the delivered power quality and maximize its value. The system contained one controller on the grid side converter (GSC) and two simulation packages used to simulate this model, which were PSIM software package for simulating power circuit and power electronics converters, and MATLAB software package for simulating the controller on Simulink. It employed a meta-heuristic technique to fulfil this target effectively. Mine-blast algorithm (MBA) and harmony search optimization technique (HSO) were applied to the proposed method to get the best controller coefficient to ensure maximum power to the grid and minimize the overshoot and the steady state error for the different control signals. The comparison between the results of the MBA and the HSO showed that the MBA gave better results with the proposed system.
Volume: 10
Issue: 6
Page: 6349-6360
Publish at: 2020-12-01

Disturbance rejection using IMC tuned PID controller with improved filter

10.11591/ijeecs.v20.i3.pp1261-1270
B. Mabu Sarif , D. V. Ashok Kumar , M. Venu Gopala Rao
IMC-PID controllers supply exceptional set point tracking but slow disturbance refutation, because of introduction of slow process pole introduced by the conventional filter. Disturbance rejection is important in many industrial applications over set point tracking. An enhanced IMC filter cascaded with PID controller with internal model control tuning system (IMC-PID) is presented right now for efficient disruption rejection and reliable first order process operation with time delay (FOPTD). The optional filter does away with the sluggish dominant pole. The present learning shows that the recommended IMC filter provide excellent trouble rejection irrespective of where the trouble enters the procedure and provide high-quality robustness to duplicate deviation in surroundings of accepting in difference with other method cited in the text. Reenactment study was led to show the feasibility of the suggested approach on processes with different 0/r ratios by measuring the controller parameters while retaining the same robustness as regards maximal sensitivity. His efficiency of the closed loops was assessed utilizing integral error parameters. Viz. ISE, ITAE, IAE. The recommended filter provides excellent response pro lag dominant processes.
Volume: 20
Issue: 3
Page: 1261-1270
Publish at: 2020-12-01

Hormonal profile and characteristics of polychistic ovarium syndrome among Madurese tribe, Indonesia

10.11591/ijphs.v9i4.20408
Zakkiyatus Zainiyah , Eny Susanti , Mustofa Haris
Polycystic ovarium syndrome (PCOS), the most common endocrine disorders in women of reproductive age, characterized by menstrual disorders (amenorrhea/oligomenorrhea), hirsutism, the appearance of acne, alopecia and the results of biochemical tests that show increased androgens (testosterone). Increased serum luteinizing hormone (LH) and follicle stimulating hormone (FSH) serve as diagnostic tests for PCOS over the years, but from several research results obtained inconsistent results that need further research. The purpose of this study is to analyze the hormonal profile and characteristics of polycystic ovary syndrome (PCOS) in Madura. Case-control study conducted in March-August 2019 in the Madura tribe. There were 32 subjects with PCOS and 32 healthy women participated in this study. Hormonal examination was using a serum and followed by enzyme-linked immune sorbent assay (ELISA kit). Levels Follicle-stimulating hormone (FSH) average was 8.74 and SHBGs were 10.02 lower in PCOS patients and LH levels were higher in PCOS patients; ratio LH/FSH was 0.76. The results of the Madurese study showed that levels of FSH, LH, weight significantly related to PCOS sex hormone binding globulin (SHBG), however body mass index (BMI) levels were not related to PCOS.
Volume: 9
Issue: 4
Page: 333-337
Publish at: 2020-12-01

Performance analysis of flow-based attacks detection on CSE-CIC-IDS2018 dataset using deep learning

10.11591/ijeecs.v20.i3.pp1413-1418
Rawaa Ismael Farhan , Abeer Tariq Maolood , Nidaa Flaih Hassan
The emergence of the internet of things (IOT) as a result of the development of the communications system has made the study of cyber security more important. Day after day, attacks evolve and new attacks are emerged. Hence, network anomaly-based intrusion detection system is become very important, which plays an important role in protecting the network through early detection of attacks. Because of the development in  machine learning and the emergence of deep learning field,  and its ability to extract high-level features with high accuracy, these systems have been included to work with real network traffic CSE-CIC-IDS2018 for a wide range of intrusions and normal behavior as an ideal method of testing and evaluation. In this paper, we test and evaluate our deep model (DNN) which has achieved a good detection accuracy of about 90%.
Volume: 20
Issue: 3
Page: 1413-1418
Publish at: 2020-12-01

Correlation of body mass index on waist circumference and blood pressure

10.11591/ijphs.v9i4.20443
Yoni Astuti , Ikhlas Muhammad Jenie
The increasing number of elderly on these recent days demands an improved quality of health for the elderly. Independence of the elderly is important in order to be happy and not to be a burden on their families. Health monitoring continuously is an effort to prevent disruption on the health conditions of the elderly. The health status of elderly people is important to know to follow up on prevention programs for the emergence of certain diseases in the elderly. This study aims to look for potential health problems for elderly people in Gamping, Sleman, DIY, Indonesia. The method of this research was cross sectional analysis using secondary data. Sample collection is consecutive subjects. Subjects were 158 people with a mean age of men (67.8 ± 7.1) years while women were 67.5 ± 7.3 years. The data was analyzed using the bivariate correlation test with CI 99%. The results of the analysis showed that the average body mass index with an average waist circumference was positively correlated (r= 0.66; p: 0.000), but did not correlate with systole pressure (r= -0.009; p= 0.97) diastole (r= 0.093; p= 0.477), age (-0.05; p= 0.71), and gender (r= -0.146; p= 0. 27). The potential health problems among the elderly is the risk of high BMI due to the larger waist circumference
Volume: 9
Issue: 4
Page: 373-378
Publish at: 2020-12-01

Mothers’ perception and management preference of acute diarrheal disease

10.11591/ijphs.v9i4.20503
Terefe Keto , Yalfal Alemu , Aklilu Mamo
Globally, diarrheal disease is one of the leading causes of morbidity and mortality among under-five years of children. Every day, approximately 2195 children die due to diarrheal diseases, which accounts for 1 in 9 child deaths worldwide. Many interventions that attempt to reduce childhood diarrhea are often fail because they are programed without understanding the problem in the target community and are culturally unsuitable. Therefore, this study aimed to assess perception and management preference of acute diarrheal disease among mothers who attend under five clinics. An institution based descriptive cross sectional study was conducted from May 1-May 30/2019. A total of 276 respondents were included in the study and consecutive sampling technique was used to identify the study participants. The results show that 47% of respondents perceive childhood diarrhea is caused by teething, 47.8% of the respondents perceive that diarrhea cannot be transmitted from one child to other. Majority of care givers prefer to give home remedies to their child, and also a substantial proportion of mothers and caregivers were not adequately knowledgeable on the use of oral rehydration salt which resulted in many of them using traditional medicine. There is need for increased health education focused on increasing caregivers‟ knowledge about the cause of diarrhea and enhancing adoption of appropriate prevention practices of diarrhea among children under five years.
Volume: 9
Issue: 4
Page: 338-346
Publish at: 2020-12-01

Do descendants of families contribute to type 2 diabetes mellitus?

10.11591/ijphs.v9i4.20586
Fatma Nuraisyah , Solikhah Solikhah , Rochana Ruliyandari
Diabetes is a public health problem in Indonesia that has been increasing in recent decades. Screening for diabetes was usually identified as pregnant women, adolescents, adults, children, older and obesity, while based on investigation descendent was yet. This cross-sectional study aimed to know the random level blood glucose of family history type 2 diabetes mellitus (T2DM). The target group for screening was people with a family history in one of their descent of T2DM with age >20 years in Kulon Progo, DIY, Indonesia. We conducted a detection of random level blood glucose from a venous blood sample. A high level of blood glucose was diagnosed when random blood glucose reaches ≥200 mg/dl. The participant with high level of blood glucose was 29.0%, while borderline blood glucose (≥110-199 mg/dl) was revealed 38.7% of 15.3% subject indicated with mother history. Descendant screening of family history T2DM is early detected respondent with high glucose level and reduced the severe complication.
Volume: 9
Issue: 4
Page: 303-306
Publish at: 2020-12-01
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