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29,939 Article Results

Fire-fighting UAV with shooting mechanism of fire extinguishing ball for smart city

10.11591/ijeecs.v22.i3.pp1320-1326
Nastaran Reza Nazar Zadeh , Ameralden H. Abdulwakil , Mike Joshua R. Amar , Bernadette Durante , Christian Vincent Nico Reblando Santos
With the growth of technology and massive city development, firefighting services have become more challenging to cope with a smart-city concept. One of the challenges that firefighters are facing is reaching the top floors of high-raised buildings. Firefighters need heavy and oversized pieces of equipment to reach top floors, which they sometimes fail to deliver on time due to big cities' traffic. The proposed solution to this global problem is using firefighting unmanned aerial vehicle (UAV) to reach the top floors fast and efficiently; It can also provide a better vision for the firefighting team and slow down the spread of fire using fire extinguishing ball. In this paper, a noble design for a Firefighting UAV with shooting and dropping mechanism of fire extinguishing ball has been developed and successfully tested. A Camera with night vision has been integrated into the UAV to provide a helpful aid for firefighters. The UAV has a controller with a 2.4 GHz radio frequency (RF) signal and video surveillance to regulate the UAV's movement. The controller is also for activating the shooting and dropping mechanism. The researchers examined the behavior of the drone in terms of its stability and functionality.
Volume: 22
Issue: 3
Page: 1320-1326
Publish at: 2021-06-01

Investigation on the application of ZnO nanostructures to improve the optical performance of white light-emitting diodes

10.12928/telkomnika.v19i3.16714
My Hanh Nguyen; Industrial University of Ho Chi Minh City Thi , Phung Ton; Industrial University of Ho Chi Minh City That , Hoang Van; Thu Dau Mot University Ngoc
Though combining blue LED chips with yellow phosphor has been the most common method in white light-emitting diode (WLED) production, the attained angular correlated color temperature (CCT) uniformity is still poor. Thus, this article proposes to add ZnO nanostructures to WLED packages to promote the color uniformity of the WLEDs. The outcomes of the research demonstrate that utilizing ZnO at different amount can affect the scattering energy and the CCT deviations in WLEDs packages in different extents. Particularly, adding the node-like (N-ZnO), sheet-like (S-ZnO), and rod-like (R-ZnO) leads to the corresponding decreases of CCT deviations from 3455.49 K to 96.30 K, 40.03 K, and 60.09 K, respectively. Meanwhile, with 0.25% N-ZnO, 0.75% S-ZnO, and 0.25 % R-ZnO, WLED devices can achieve both better CCT homogeneity and lower reduction in luminous flux. The results of this article can be a valuable document for the manufacturer to use as reference in improving their WLED products.
Volume: 19
Issue: 3
Page: 963-967
Publish at: 2021-06-01

Dynamic bandwidth allocation algorithm for long reach passive optical network

10.12928/telkomnika.v19i3.18787
Siti Hasunah; Universiti Teknologi Malaysia Mohammad , Nadiatulhuda; Universiti Teknologi Malaysia Zulkifli , Sevia Mahdaliza; Universiti Teknologi Malaysia Idrus
Next generation broadband access networks are gaining more interests from many key players in this field. The demands for longer reach and higher bandwidth are among the driving factors for such network as it can reach wider area up to 100 km, even beyond; has enhanced bandwidth capacity and transmission speed, but with low cost and energy consumption. One promising candidate is long reach passive optical network, a simplified network with reduced number of network elements, equipment interfaces, and even nodes; which leads to a significant reduction in the network’s capital expenditure and operational expenditure. Outcome of an extended reach often results in increased propagation delay of dynamic bandwidth allocation messages exchange between the optical line terminals and optical network units, leading to the degradations of bandwidth allocation and quality of service support. Therefore, an effective bandwidth allocation algorithm with appropriate service interval setup for a long reach network is proposed to ensure the delay is maintained under ITU-T G.987.1 standard requirement. An existing algorithm is improved in terms of service interval so that it can perform well beyond 100 km. Findings show that the improved algorithm can reduce the mean delay of high priority traffic classes for distance up to 140 km.
Volume: 19
Issue: 3
Page: 738-746
Publish at: 2021-06-01

Parallel classification and optimization of telco trouble ticket dataset

10.12928/telkomnika.v19i3.18159
Fauzy Bin Che; Multimedia University Yayah , Khairil Imran; Multimedia University Ghauth , Choo-Yee; Multimedia University Ting
In the big data age, extracting applicable information using traditional machine learning methodology is very challenging. This problem emerges from the restricted design of existing traditional machine learning algorithms, which do not entirely support large datasets and distributed processing. The large volume of data nowadays demands an efficient method of building machine-learning classifiers to classify big data. New research is proposed to solve problems by converting traditional machine learning classification into a parallel capable. Apache Spark is recommended as the primary data processing framework for the research activities. The dataset used in this research is related to the telco trouble ticket, identified as one of the large volume datasets. The study aims to solve the data classification problem in a single machine using traditional classifiers such as W-J48. The proposed solution is to enable a conventional classifier to execute the classification method using big data platforms such as Hadoop. This study’s significant contribution is the output matrix evaluation, such as accuracy and computational time taken from both ways resulting from hyper-parameter tuning and improvement of W-J48 classification accuracy for the telco trouble ticket dataset. Additional optimization and estimation techniques have been incorporated into the study, such as grid search and cross-validation method, which significantly improves classification accuracy by 22.62% and reduces the classification time by 21.1% in parallel execution inside the big data environment.
Volume: 19
Issue: 3
Page: 872-885
Publish at: 2021-06-01

New proposed method for traceability dissemination of capacitance measurements

10.11591/ijece.v11i3.pp1969-1975
Heba A. M. Hamed , A. Eliwa Gad , M. Helmy A. Raouf
Capacitance measurements at the National Institute of Standards (NIS), Egypt, are traceable to the Bureau International des Poids et Mesures (BIPM). It calibrates the main NIS standard capacitors, AH11A. In this paper, traceability of the BIPM capacitance measurements could be used to evaluate a new accurate measurement method through an Ultra-Precision Capacitance Bridge. The new method is carefully described by introducing some necessary equations and a demonstrating chart. Verification of this new method has been realized by comparing its results for the 10 pF and 100 pF capacitance standards with the results obtained by the conventional substitution method at 1 kHz and 1.592 kHz. The relative differences between the two methods are about 0.3 µF/F, which reflect the accuracy of the new measurement method. For higher capacitance ranges, the new measurement method has been applied for the capacitance measurements up to 1 μF at 1 kHz. The relative differences between the two methods are in the range of 5.5 µF/F on the average which proves the acceptable accuracy and the reliability of the new method to be used.
Volume: 11
Issue: 3
Page: 1969-1975
Publish at: 2021-06-01

Public key cryptosystem based on multiple chaotic maps for image encryption

10.11591/ijeecs.v22.i3.pp1457-1466
Yousif S. Najaf , Maher K. Mahmood Al-Azawi
Image is one of the most important forms of information. In this paper, two public key encryption systems are proposed to protect images from various attacks. Both systems depend on generating a chaotic matrix (I) using multiple chaotic maps. The parameters for these maps are taken from the shared secret keys generated from Chebyshev map using public keys for Alice and secret key for Bob or vice versa. The second system has the feature of deceiving the third party for searching for fake keys. Analysis and tests showed that the two proposed systems resist various attacks and have very large key space. The results are compared with other chaos based systems to show the superiority of these two proposed systems.
Volume: 22
Issue: 3
Page: 1457-1466
Publish at: 2021-06-01

Reduced hospital revenue due to error code diagnosis in the implementation of INA-CBGs

10.11591/ijphs.v10i2.20690
Warsi Maryati , Novita Yuliani , Anton Susanto , Aris Octavian Wannay , Ani Ismayani Justika
In the case-mix system, diagnostic codes are used as the basis for classifying health service rates. The difference in tariffs between hospitals and the accuracy of the diagnosis code causes a gap where there are hospitals that benefit and are disadvantaged by the Indonesian case-based groups (INA-CBGs) tariff policy. This study assesses the gap factor between hospital rates and INA-CBGs rates, which include hospital characteristics and the accuracy of the diagnosis code. Samples were taken of 100 medical record documents of inpatients at two hospitals in Surakarta, Central Java, Indonesia in 2020 by stratified random sampling. Data were collected by observation and analyzed by Chi-Square test. There were errors in the primary diagnosis code 11 (32.35%), secondary diagnosis code 19 (55.88%), combination diagnosis code 4 (11.76%). Changes in the INA-CBG code that caused the inaccuracy of the claim rate were 26 (59.09%) case-mix main groups (CMG) codes, 44 (100%) CBG-specific codes, 31 (70.45%) severity level codes. Public-private hospitals with class B experienced a decrease in income of IDR 46,081,900 (-17.50%), while special government hospitals with class A experienced an additional income of IDR 99,733,869 (38.31%). An accurate diagnostic code can increase the odds by 42.128 times the accuracy of the INA-CBGs rate (b=42.128; 95% CI=11.127 to 159.497; p<0.001).
Volume: 10
Issue: 2
Page: 354-360
Publish at: 2021-06-01

EEG signal classification for drowsiness detection using wavelet transform and support vector machine

10.11591/ijai.v10.i2.pp501-509
Novie Theresia Br. Pasaribu , Timotius Halim , Ratnadewi Ratnadewi , Agus Prijono
There are several categories to detect and measure driver drowsiness such as physiological methods, subjective methods and behavioral methods. The most objective method for drowsiness detection is the physiological method. One of the physiological methods used is an electroencephalogram (EEG). In this research wavelet transform is used as a feature extraction and using support vector machine (SVM) as a classifier. We proposed an experiment of retrieval data which is designed by using modified-EAR and EEG signal. From the SVM training process, with the 5-fold cross validation, Quadratic kernel has the highest accuracy 84.5% then others. In testing Driving-2 process 7 respondents were detected as drowsiness class, and 3 respondents were detected as awake class. In the testing of Driving-3 process, 6 respondents were detected as drowsiness class, and 4 respondents were detected as awake class.
Volume: 10
Issue: 2
Page: 501-509
Publish at: 2021-06-01

Web-based applications to develop students’ creativity in English for specific purposes

10.11591/ijere.v10i2.21248
Iryna Simkova , Oleksandra Bondarenko , Lina Bielovetska
This paper investigates the implementation of web-based applications to develop students’ creative thinking skills in English for Specific Purposes. The paper explores the role of web-based applications during creativity development in English for Specific Purposes classes. The attention is paid to the analysis of organizational levels of creative thinking development and concepts of creativity. This paper discusses how to achieve creative thinking during distance learning in English for Specific Purposes classes. The sample was 310 bachelor students from two Ukrainian universities. The sample was selected on the basis of the stratified sampling technique. The instruments were used F-test, the Likert-type scale test, and interviews. The study presents the results gained from interviews with Ukrainian students and results of creativity tests passed by students. The examples of tasks aimed at creative thinking achievement during distance learning in English for Specific Purposes classes are given. A comparative analysis of results has allowed emphasizing the positive experience of two Ukrainian universities, which can be implemented in future distance learning in the higher institutions located in other regions of Ukraine. The findings of this study support the idea that the development of creative thinking skills during the distance learning of bachelor students of different specialism can be intensified with the selection of proper web-based applications.
Volume: 10
Issue: 2
Page: 684-692
Publish at: 2021-06-01

Cassini-Huygens mission images classification framework by deep learning advanced approach

10.11591/ijece.v11i3.pp2457-2466
Ashraf AlDabbas , Zoltan Gal
Developing a deep learning (DL) model for image classification commonly demands a crucial architecture organization. Planetary expeditions produce a massive quantity of data and images. However, manually analyzing and classifying flight missions image databases with hundreds of thousands of images is ungainly and yield weak accuracy. In this paper, we speculate an essential topic related to the classification of remotely sensed images, in which the process of feature coding and extraction are decisive procedures. Diverse feature extraction techniques are intended to stimulate a discriminative image classifier. Features extraction is the primary engagement in raw data processing with the purpose of data classification; when it comes across the task of analysis of vast and varied data, these kinds of tasks are considered as time-consuming and hard to be treated with. Most of these classifiers are either, in principle, quite intricate or virtually unattainable to calculate for massive datasets. Stimulated by this perception, we put forward a straightforward, efficient classifier based on feature extraction by analyzing the cell of tensors via layered MapReduce framework beside meta-learning LSTM followed by a SoftMax classifier. Experiment results show that the provided model attains a classification accuracy of 96.7%, which makes the provided model quite valid for diverse image databases with varying sizes.
Volume: 11
Issue: 3
Page: 2457-2466
Publish at: 2021-06-01

Subjective well-being among street mothers community

10.11591/ijphs.v10i2.20615
Fatwa Tentama , Nina Zulida Situmorang , Fitrianur Fitrianur
The goal of this research was to understand the subjective well-being of mothers who work in the streets. This qualitative phenomenological study collected data using a semi-structured interview. Data were collected from six street mothers aged 18-40 years living in the dense residence of Kali Code, Karanganyar, Brontokusuman, Mergangsan, and Yogyakarta, Indonesia. The content analysis was used in this research, and the results showed that street mothers were satisfied with their current lives. Some of the reasons for their satisfaction include having a place to stay, gathering with their family every day, having a job, having independent earning, supporting children's education, and meeting their family's needs. This study also found that life satisfaction was associated with feeling satisfied with the self, family life, health, job, and community environment. Furthermore, participants expressed positive affect in the form of happiness when their job and earnings were good when gathering with the family or neighbors when the family is in harmony. The children are obedient when they can meet the needs of the children when they receive unexpected rewards. In contrast, the participants experienced negative affect in the form of guilt when they were unable to make the family happy, and disappointed when daily earnings were small. They were sad when children were not obedient, angry, and disappointed about living conditions and worried, anxious, and afraid about the workplace conditions.
Volume: 10
Issue: 2
Page: 370-379
Publish at: 2021-06-01

Effects of social media exposure on adolescent sexual attitudes and behavior: A systematic review

10.11591/ijphs.v10i2.20818
Fransiska Imavike Fevriasanty , Bagong Suyanto , Oedojo Soedirham , Rahma Sugihartati , Ahsan Ahsan
Aside from the role of family and peer groups, social media is also one of the major agents of sexual socialization in adolescents. Since it is relatively easy to connect to the internet these days, these people now have a wider access to pornographic content that could trigger them to engage in risky sexual behaviors. This review aimed to provide an analysis of the influence of social media exposure on adolescent’s sexual attitudes and behavior as well as describe limitations of the studies being reviewed. This study was based on several electronic databases namely Google Scholar, Science Direct, Proquest Health and Medical Complete, Proquest Science and Pscycholgy Journals, and PubMed, from 2011 to 2018, which revealed a total of 1351 research articles, with only 21 articles meeting the inclusion criteria and reviews. The result showed higher percentage of studies under reviewed mention the effect of social media exposure are related to sexual attitudes, behaviors, initiation and risks, as well as parental monitoring, academic achievement and gender. Conclusively, it is recommended to educate adolescents about the negative risks of social media exposure on sexual attitudes and behavior, as well as the importance of the role of parental monitoring of restrictions on sexualized media access.
Volume: 10
Issue: 2
Page: 272-280
Publish at: 2021-06-01

Risk factors associated with the development of dental caries in Bulgarian children

10.11591/ijphs.v10i2.20670
Dobrinka Mitkova Damyanova , Valentina Velikova
The purpose of this study was to examine the risk factors associated with the development of dental caries in children in Bulgaria. The research has been carried out at the Faculty of Dental Medicine, in the period 2015-2016, with the permission of the University Scientific Research Committee and informed consent signed by each parent. The subject of observation was parents of children from Varna region in Bulgaria. The results were statistically processed with SPSS v.20.0, using variation and comparison (chi-square) analyzes. For significance level we assume p<0.05. The volume of observation encompasses 100 persons. Units of observation are patients aged three to six years with the need for prevention and treatment of dental caries of the primary dentition. The registration was done in a specially developed questionnaire, including 22 questions, each with the possibility of more than one answer. In processing the obtained data, Student's criterion was used to compare the mean values of two independent samples. In a comparative analysis of the results, we found that 71.01% of children aged three to six years visit a dentist, and patients use fluoride only in the form of toothpaste containing fluoride. When studying the knowledge and behavior of parents in the direction of risk factors for the development of dental caries and oral prophylaxis, need for a new approach of pediatric dentists has been found, focused on programming preventive and non-invasive treatment of children according to their individual needs.
Volume: 10
Issue: 2
Page: 258-264
Publish at: 2021-06-01

Effect of acute submaximal physical exercise before decompression dive on tumor necrosis factor alpha concentration among male trained divers

10.11591/ijphs.v10i2.20666
Chikih Chikih , Guritno Suryokusumo , Astrid Sulistomo
The increase of inflammatory biomarkers due to decompression dive is one of the factors that could cause decompression sickness (DCS), one of them is tumor necrosis alpha (TNFα). According to the preconditioning theory, exercise before dive can reduce amount of gas bubble to prevent DCS. This study aimed to prove that exercise before diving can prevent increase of TNFα. This study employed quasi-experimental design with trained male divers. The subject divided into two groups, treatment and control. The treatment group got submaximal exercise with 70% heart rate intensity, using cycle ergometer with young men's Christian association (YMCA) procedure modify by Guritno, 24 hours before decompression dive 280 kPa bottom time 80 minute with US-NAVY table, whereas the control group only do decompression dive. TNFα expression was checked three times, at beginning of study, before dive and after dive. In treatment group there was insignificant decrease TNFα, from 7.06±1.85pg./ml to 6.75±1.81pg./ml, whereas the control group showed a significant increased TNFα, from 8.22 (1.45 to 13.11)pg./ml to 8.39 (1.73 to 12.18)pg/ml, and significant difference was found between the mean difference for two groups p<0.05. It can be concluded that acute submaximal exercise prevents an increase of TNFα after single dive decompression to prevent possibility occurring DCS).
Volume: 10
Issue: 2
Page: 289-297
Publish at: 2021-06-01

COVID-19 risk perception among Indonesians in early stage of the outbreak

10.11591/ijphs.v10i2.20678
Ratih Oktri Nanda , Lolita Lolita , Wiwik Indayati , Ivong Rusdiyanti , Nurjannah Nurjannah , Azis Ikhsanudin , Silvia Mareti
Indonesia confirmed its first coronavirus disease 19 (COVID-19) case on 2nd March 2020, when other countries have already reported several numbers in the previous month. This study aimed to explore the risk perception of Indonesians in the early stage of the COVID-19 outbreak. This cross-sectional study was conducted among 495 participants using a web-based questionnaire. Primary data were collected from 3rd to 27th March 2020 including the perceived severity, vulnerability, threat, self, and response efficacy of the participants. The results showed that the perceived threat of the outbreak in its early stage is the second highest compared to other diseases. The perceived severity among the participants was high. However, they had a low vulnerability. Those in the middle region showed a higher level of self and response efficacy. Meanwhile, people who work as private sector employee (β=0.146, p=0.004), live in the western region (β=-0.184, p=0.000), with a higher knowledge score (β=0.096, p=0.032) had a higher perceived threat. These results found those who had high knowledge, was also had higher perceived risk. The most important of these studies have determined various factors related to risk perception, thus it could be good preliminary evidence for public health authorities to arrange an effective way for epidemic control.
Volume: 10
Issue: 2
Page: 249-257
Publish at: 2021-06-01
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