Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

29,939 Article Results

Physical and psychological violence in dating with stress among adolescents during the COVID-19 pandemic

10.11591/ijphs.v10i3.20764
Suci Musvita Ayu , Liena Sofiana , Nurul Karina Sabrina
Currently, the juvenile delinquency trend is still very high. Dating violence (DV) is one of the delinquencies that teenagers often commit. DV has negative impacts in the form of physical and psychological impacts. Physical impacts can include bruises, fractures. Meanwhile, the psychological impact can be a the form of depression, stress, anxiety, and sleep problems. This study aimed to analyze the relationship between physical and psychological violence in dating stress adolescents. This study used a cross-sectional design. Sample of this study was 314 students (15-19 years) in Bantul chosen through a purposive sampling technique. Data analysis was using multiple logistic regressions. The results showed that there was a significant relationship towards stress, namely gender (p-value=0.050), physical violence (p-value=0.000), and psychological violence (p-value=0.000). Age (p-value=0.653) and parents' income (p-value=0.100) had no significant relationship to stress. Psychological violence variable (p-value=0.000; OR=6.285, 95%; CI=3.683-10.726) was the most dominant in triggering stress in adolescents. So, there were relationships between gender, physical and psychological violence in dating with the incidence of stress among adolescents in Bantul Regency, Yogyakarta, Indonesia during the COVID-19 pandemic.
Volume: 10
Issue: 3
Page: 515-521
Publish at: 2021-09-01

EFL university teachers’ perspectives in written corrective feedback and their actual applications

10.11591/ijere.v10i3.21641
Windy Wahju Purnomo , Yazid Basthomi , Johannes Ananto Prayogo
This study aimed to investigate the English as a foreign language (EFL) university teachers’ perspective and their actual applications in providing written corrective feedback to the writing errors made by the EFL university students and their correlation. The study was based on 80 responses of a Google-Form survey distributed to EFL university teachers with various teaching experiences from the most parts of Indonesia. Correlational design was used in this research. Descriptive statistics and Pearson’s correlation tests were used to analyze data. The results indicated that the majority of teachers had perspectives that it is valuable to provide and vary the strategies of written corrective feedback. In addition, the teachers mostly applied both direct and indirect feedback in various strategies and they only sometimes provided corrections in all aspects of errors and reformulation. It was also found out that the Indonesian EFL university teachers’ perspectives in the written corrective on students’ writing errors highly correlated with their actual applications. The results of the study provide both theoretical and pedagogical implications. Theoretically, it enriches the body knowledge of feedback and EFL writing. Pedagogically, EFL teachers are also suggested to improve their knowledge on various feedback techniques and apply it in their classroom teaching and learning process. 
Volume: 10
Issue: 3
Page: 1089-1099
Publish at: 2021-09-01

Implementation of fuzzy logic method for automation of decision making of Boeing aircraft landing

10.11591/ijai.v10.i3.pp545-552
Winda Pratiwi , Aghus Sofwan , Iwan Setiawan
In the landing process, airplanes have many safety factors that must be protected. Weather advice and information is very important as a consideration in determining the feasibility of landing an aircraft. The main objective of this research is the implementation of Mamdani fuzzy simulation in determining the feasibility of landing aircraft at Ahmad Yani Airport in Semarang using ATC police and pilot coordination on runway number 31. Wind direction, wind velocity, visibility, and pilot experience are used to determine eligibility aircraft landing. An intelligent system based on fuzzy logic produces three decisions that are feasible, careful, and not feasible in landing an aircraft on a runway. The results of the study concluded from an intelligent system based on fuzzy logic can be used to determine aircraft landing decisions on the runway of Ahmad Yani Airport Semarang on runway number 31.
Volume: 10
Issue: 3
Page: 545-552
Publish at: 2021-09-01

Student’s general attitude in gender-inclusive language

10.11591/ijere.v10i3.21573
Ma. Theresa R. Remigio , Arlene D. Talosa
Centered on studies on language and gender, this study generally aimed to assess the students’ general attitude towards Gender-Inclusive It likewise determined difference on attitude when grouped according to sex. The study utilized quantitative research design. Survey questionnaire using the IASNL was the instrument used which assesses beliefs, recognition of sexist language and willingness to use gender-inclusive language. Respondents utilized were randomly selected students of the College of Teacher Education. Results revealed that most of the students were female, displaying a positive attitude towards gender-inclusive language which indicates the students’ openness to gender-inclusive language use. It was found though that women and men did not seem to care strongly one way or another about gender-inclusive language. The result is reflective of the potential positive feedback to the Gender and Development (GAD) mainstreaming programs of the campus on the use of the said language.
Volume: 10
Issue: 3
Page: 864-870
Publish at: 2021-09-01

Smart element aware gate controller for intelligent wheeled robot navigation

10.11591/ijece.v11i4.pp3022-3031
Nadia Adnan Shiltagh Al-Jamali , Mahmood Z. Abdullah
The directing of a wheeled robot in an unknown moving environment with physical barriers is a difficult proposition. In particular, having an optimal or near-optimal path that avoids obstacles is a major challenge. In this paper, a modified neuro-controller mechanism is proposed for controlling the movement of an indoor mobile robot. The proposed mechanism is based on the design of a modified Elman neural network (MENN) with an effective element aware gate (MEEG) as the neuro-controller. This controller is updated to overcome the rigid and dynamic barriers in the indoor area. The proposed controller is implemented with a mobile robot known as Khepera IV in a practical manner. The practical results demonstrate that the proposed mechanism is very efficient in terms of providing shortest distance to reach the goal with maximum velocity as compared with the MENN. Specifically, the MEEG is better than MENN in minimizing the error rate by 58.33%.
Volume: 11
Issue: 4
Page: 3022-3031
Publish at: 2021-08-01

Optimization of open flow controller placement in software defined networks

10.11591/ijece.v11i4.pp3145-3153
Raghda Salam Al mahdawi , Huda M. Salih
The world is entering into the era of Big Data where computer networks are an essential part. However, the current network architecture is not very convenient to configure such leap. Software defined network (SDN) is a new network architecture which argues the separation of control and data planes of the network devices by centralizing the former in high level, centralised devices and efficient supervisors, called controllers. This paper proposes a mathematical model that helps optimizing the locations of the controllers within the network while minimizing the overall cost under realistic constrains. Our method includes finding the minimum cost of placing the controllers; these costs are the network latency, controller processing power and link bandwidth. Different types of network topologies have been adopted to consider the data profile of the controllers, links of controllers and locations of switches. The results showed that as the size of input data increased, the time to find the optimal solution also increased in a non-polynomial time. In addition, the cost of solution is increased linearly with the input size. Furthermore, when increasing allocating possible locations of the controllers, for the same number of switches, the cost was found to be less.
Volume: 11
Issue: 4
Page: 3145-3153
Publish at: 2021-08-01

Active filtering capability based on the RSC control of WECS equipped with a DFIG

10.11591/ijeecs.v23.i2.pp760-771
Touati Abdelwahed , Majdoul Radouane , Aboulfatah Mohamed , Rabbah Nabila
The increasing integration of decentralized production from renewable energies on the electricity grids should contribute to improving the stability and quality of the energy produced. The main objective of this work is to prove how renewable energy sources can improve the quality of electrical energy in the grid. In particular, controlled by the oriented flux technique, a double - feed induction generator DFIG driven by a wind turbine is together used to produce active power to the electrical network and to compensate the currentharmonics generated by a non - linear load, which leads to improve the supplied energy quality. The Active filtering function consists first of all in identifying the current harmonics using the theory of instantaneous active and reactive powers quality (PQ). Then, the closed loop based on the fast terminal sliding mode control (FTSMC) control allows both the generator to follow the optimal operating point of the wind turbine and to compensate for the current harmonics. The analysis and simulation results using MATLAB/Simulink confirm the effectiveness and the limits of the proposed methods and also show the performances of the law control which provides flexibility, high precision and fast response.
Volume: 23
Issue: 2
Page: 760-771
Publish at: 2021-08-01

Assessment of voltage stability based on power transfer stability index using computational intelligence models

10.11591/ijece.v11i4.pp2790-2797
Ahmed Majeed Ghadban , Ghassan Abdullah Salman , Husham Idan Hussein
In this paper, the importance of voltage stability is explained, which is a great problem in the EPS. The estimation of VS is made a priority so as to make the power system stable and prevent it from reaching voltage collapse. The power transfer stability index (PTSI) is used as a predictor utilized in a PSN to detect the instability of voltages on weakened buses. A PSI is used to obtain a voltage assessment of the PSNs. Two hybrid algorithms are developed. The (CA-NN) and the (PSO-NN). After developing algorithms, they are compared with the actual values of PTSI NR method. The algorithms installed on the 24 bus Iraqi PS. The actual values of PTSI are the targets needed. They are obtained from the NR algorithm when the input data is Vi, δi, Pd, Qd for the algorithm. The results indicate that a weak bus that approaches voltage collapse and all results were approximately the same. There is a slight difference with the actual results and demonstrated classical methods are slower and less accurate than the hybrid algorithms. It also demonstrates the validation and effectiveness of algorithms (CA-NN, and PSO-NN) for assessing voltage-prioritizing algorithms (CA-NN). The MATLAB utilized to obtain most of the results.
Volume: 11
Issue: 4
Page: 2790-2797
Publish at: 2021-08-01

Optimization techniques on fuzzy inference systems to detect Xanthomonas campestris disease

10.11591/ijece.v11i4.pp3510-3518
Julio Barón Velandia , Camilo Enrique Rocha Calderón , Daniel David Leal Lara
This paper shows the outcomes for four optimization models based on fuzzy inference systems, intervened using Quasi-Newton and genetic algorithms, to early assess bean plants’ leaves for Xanthomonas campestris disease. The assessment on the status of the plant (sane or ill) is defined through the intensity of the color in the RGB scale for the data-sets and images to analyze the implementation of the models. The best model performance is 99.68% when compared with the training data and a 94% effectiveness rate on the detection of Xanthomonas campestris in a bean leave image. Therefore, these results would allow farmers to take early measures to reduce the impact of the disease on the look and performance of green bean crops.
Volume: 11
Issue: 4
Page: 3510-3518
Publish at: 2021-08-01

Determination of the price for a hydro resource with consideration of operating conditions of hydropower plants using complex criteria of profit maxmization

10.11591/ijece.v11i4.pp2733-2742
T. V. Myatezh , Y. A. Sekretarev
In this paper, a universal method has been developed to determine the price of a hydro resource (one cubic meter) for the operational regulation of a hydropower plant (HPP), which is a combination of an optimization method and a method for assessing the marginal utility. The proposed approach is based on the correct representation of differential incremental rate characteristics of water at an HPP and fuel at a thermal power plant (TPP). To know the price of a hydro resource used for electricity generation at a hydropower plant. This gives the possibility to increase the efficiency of management both at a hydropower plant, and in a water utilization system as a whole. Using the examples of Novosibirsk HPP, it is expected to develop an estimation of economic effect from the implementation of the developed criteria, the proposed method of the calculation of a hydro resource price at HPP, and the method of separating fuel costs at CHPP. As a result of the implementation the developed method for the HPP, a price of electricity sold in the flexible energy market will be compared to the price of the electricity produced and sold at CHPP, being equal to approximately 330 rubles/MW h.
Volume: 11
Issue: 4
Page: 2733-2742
Publish at: 2021-08-01

The impact of sentiment analysis from user on Facebook to enhanced the service quality

10.11591/ijece.v11i4.pp3424-3433
Daniel D. Albesta , Michael L. Jonathan , Muhammad Jawad , Oktovianus Hardiawan , Derwin Suhartono
Facebook's influence on the modern social media platform is undoubtedly enormous. While it has gotten a backlash for its inability to control its influence over important affairs, there are still many questions regarding people's perception of Facebook and their sentiment over Facebook. This paper's role in this ongoing debate is to give a glimpse of people's sentiment and perception of Facebook in recent times. By collecting samples data from Facebook's Top Page, this paper hopes to represent a significant amount of people's aspirations towards this company. By processing the data with a processing tool to construct and model out the data and a sentiment analyzer tool helps determine the sentiment, this paper can deduce a 600-comment worth of processed data. The results from the 600 sampled comments concluded that the sentiments towards Facebook are 41.50% negative comments, 22.83% neutral comments, and 35.67% positive comments.
Volume: 11
Issue: 4
Page: 3424-3433
Publish at: 2021-08-01

Cotton-wool spots, red-lesions and hard-exudates distinction using CNN enhancement and transfer learning

10.11591/ijeecs.v23.i2.pp1170-1179
Tian-Swee Tan , M. A. As'ari , Wan Hazabbah Wan Hitam , Qi Zhe Ngoo , Matthias Tiong Foh thye , Kelvin Ling Chia hiik
The automatic retinal disease diagnosis by artificial intelligent is an interesting and challenging topic in the medical field. It requires an appropriate image enhancement technique and a sufficient training dataset for the specific retina conditions. The aim of this study was to design an automatic diagnosis convolutional neural network (CNN) model which does not require a large training dataset to specifically identify diabetic retinopathy symptoms, which are cotton wool, exudates spots and red lesionin colour fundus pictures. A novel framework comprised image enhancement method by using upgraded contrast limited adaptive histogram equalization (UCLAHE) filter and transferred pre-trained networks was developed to classify the retinal diseases regarding to the symptoms. The performance of the proposed framework was evaluated based on accuracy, sensitivity and specificity metrics. The collected results have proven the robustness of the proposed framework in offering good accuracy in retina diseases diagnosis. 
Volume: 23
Issue: 2
Page: 1170-1179
Publish at: 2021-08-01

Comparative analysis of short-term demand predicting models using ARIMA and deep learning

10.11591/ijece.v11i4.pp3319-3328
Halima Bousqaoui , Ilham Slimani , Said Achchab
The forecasting consists of taking historical data as inputs then using them to predict future observations, thus determining future trends. Demand prediction is a crucial component in the supply chain’s process that allows each member to enhance its performance and its profit. Nevertheless, because of demand uncertainty supply chains usually suffer from many problems such as the bullwhip effect. As a solution to those logistics issues, this paper presents a comparative analysis of four time series demand forecasting models; namely, the autoregressive integrated moving Average (ARIMA) a statistical model, the multi-layer perceptron (MLP) a feedforward neural network, the long short-term memory model (LSTM) a recurrent neural network and the convolutional neural network (CNN or ConvNet) a deep learning model. The experimentations are carried out using a real-life dataset provided by a supermarket in Morocco. The results clearly show that the convolutional neural network gives slightly better forecasting results than the Long short-term memory network.
Volume: 11
Issue: 4
Page: 3319-3328
Publish at: 2021-08-01

Determining subject headings of documents using information retrieval models

10.11591/ijeecs.v23.i2.pp1049-1058
Evi Yulianti , Laksmita Rahadianti
Subject heading is a controlled vocabulary that describes the topic of adocument, which is important to find and organize library resources. Assigning appropriate subject headings to a document, however, is a time-consuming process. We therefore conduct a novel study on the effectiveness of information retrieval models, i.e.,language model (LM) andvector spacemodel (VSM), to automatically generate a ranked list of relevant subject headings, with the aim to give a recommendation for librarians to determine the subject headings effectively and efficiently. Our results show that there are a high number of our queries (up to 61%) that have relevant subject headings in the ten top-ranked recommendations and on average, the first relevant subject heading is found at the early position (3rd rank). This indicates that document retrieval methods can help the subject heading assignment process. LM and VSM are shown to have comparable performance, except when the search unit is title, VSM is superior to LM by8-22%. Our further analysis exhibits three faculty pairs that are potential to have research collaboration as their students’ thesis often have overlap subject headings: i) economy and business-social and political sciences, ii) nursing-public health and iii) medicine-public health.
Volume: 23
Issue: 2
Page: 1049-1058
Publish at: 2021-08-01

An assistive model of obstacle detection based on deep learning: YOLOv3 for visually impaired people

10.11591/ijece.v11i4.pp3434-3442
Nachirat Rachburee , Wattana Punlumjeak
The World Health Organization (WHO) reported in 2019 that at least 2.2 billion people were visual-impairment or blindness. The main problem of living for visually impaired people have been facing difficulties in moving even indoor or outdoor situations. Therefore, their lives are not safe and harmful. In this paper, we proposed an assistive application model based on deep learning: YOLOv3 with a Darknet-53 base network for visually impaired people on a smartphone. The Pascal VOC2007 and Pascal VOC2012 were used for the training set and used Pascal VOC2007 test set for validation. The assistive model was installed on a smartphone with an eSpeak synthesizer which generates the audio output to the user. The experimental result showed a high speed and also high detection accuracy. The proposed application with the help of technology will be an effective way to assist visually impaired people to interact with the surrounding environment in their daily life.
Volume: 11
Issue: 4
Page: 3434-3442
Publish at: 2021-08-01
1 2 3
...
1995 1996
Show 930 of 1996

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration