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29,939 Article Results

Solving the order batching and sequencing problem with multiple pickers: A grouped genetic algorithm

10.11591/ijece.v11i3.pp2516-2524
Jose Alejandro Cano , Pablo Cortés , Emiro Antonio Campo , Alexander Alberto Correa-Espinal
This paper introduces a grouped genetic algorithm (GGA) to solve the order batching and sequencing problem with multiple pickers (OBSPMP) with the objective of minimizing total completion time. To the best of our knowledge, for the first time, an OBSPMP is solved by means of GGA considering picking devices with heterogeneous load capacity. For this, an encoding scheme is proposed to represent in a chromosome the orders assigned to batches, and batches assigned to picking devices. Likewise, the operators of the proposed algorithm are adapted to the specific requirements of the OBSPMP. Computational experiments show that the GGA performs much better than six order batching and sequencing heuristics, leading to function objective savings of 18.3% on average. As a conclusion, the proposed algorithm provides feasible solutions for the operations planning in warehouses and distribution centers, improving margins by reducing operating time for order pickers, and improving customer service by reducing picking service times.
Volume: 11
Issue: 3
Page: 2516-2524
Publish at: 2021-06-01

Atar: Attention-based LSTM for Arabizi transliteration

10.11591/ijece.v11i3.pp2327-2334
Bashar Talafha , Analle Abuammar , Mahmoud Al-Ayyoub
A non-standard romanization of Arabic script, known as Arbizi, is widely used in Arabic online and SMS/chat communities. However, since state-of-the-art tools and applications for Arabic NLP expects Arabic to be written in Arabic script, handling contents written in Arabizi requires a special attention either by building customized tools or by transliterating them into Arabic script. The latter approach is the more common one and this work presents two significant contributions in this direction. The first one is to collect and publicly release the first large-scale “Arabizi to Arabic script” parallel corpus focusing on the Jordanian dialect and consisting of more than 25 k pairs carefully created and inspected by native speakers to ensure highest quality. Second, we present Atar, an attention-based encoder-decoder model for Arabizi transliteration. Training and testing this model on our dataset yields impressive accuracy (79%) and BLEU score (88.49).
Volume: 11
Issue: 3
Page: 2327-2334
Publish at: 2021-06-01

Bigradient neural network-based quantum particle swarm optimization for blind source separation

10.11591/ijai.v10.i2.pp355-364
Hussein M. Salman , Ali Kadhum M. Al-Qurabat , Abd Alnasir Riyadh Finjan
An independent component analysis (ICA) is one of the solutions of a blind source separation problem. ICA is a statistical approach that depends on the statistical properties of the mixed signals. The purpose of the ICA method is to demix the mixed source signals (observation signals) and rcovering those signals. The abbreviation of the problem is that the ICA needs for optimizing by using one of the optimization approaches as swarm intelligent, neural neworks, and genetic algorithms. This paper presents a hybrid method to optimize the ICA method by using the quantum particle swarm optimization method (QPSO) to optimize the Bigradient neural network method that applies to separate mixed signals and recover sources signals. The results of an implement this work prove that this method gave good results comparing with other methods such as the Bigradient neural network and the QPSO method, based on several evaluation measures as signal-to-noise ratio, signal-to-distortion ratio, absolute value correlation coefficient, and the computation time.
Volume: 10
Issue: 2
Page: 355-364
Publish at: 2021-06-01

Power management strategy based sugeno fuzzy logic rules in an electric wheelchair

10.11591/ijpeds.v12.i2.pp1187-1195
Chakar Abdeselem , Abdelkhalek Othmane , Gasbaoui Brahim , Soumeur Mohammed Amine , Hafsi Oussama , Hartani Mohammed Amine
Power management in multi-power supply electrical systems to manage the general system behavior is essential to improve autonomy and efficiency. In this paper, a proposed fuzzy-logic power management-based sugeno rule is applied in a hybrid PV/battery electric wheelchair to ameliorate the battery life cycle and the overall autonomy. Besides, the increment conductance INC MPPT is used to maximize PVpower. The electric wheelchair's general topology comprises photovoltaic energy resources as the main source and the battery energy storage system device as the auxiliary source. This hybrid power source system supplied the electric wheelchair composed two permanent magnet DC motors controlled by a PI controller. MATLAB/Simulink program is used to implement the overall control scheme. The simulation results that were obtained and the detailed study demonstrate the feasibility and performance of this intelligent strategy.
Volume: 12
Issue: 2
Page: 1187-1195
Publish at: 2021-06-01

Towards the prospection of an optimal thermal response of ZnO surge arrester in HV power system

10.11591/ijece.v11i3.pp1865-1875
Abdelhakim Bendakir , Abdelhafid Bayadi , Djalel DIB
In order to understand the thermal and electrical properties of surge arrester under standard climatic conditions, it would be useful to evaluate the heating progression in its different elements. These are constituted of heterogeneous materials, which have physical and electrical nonlinear properties along the surge arrester. Temperature predicting solutions for zinc oxide ceramic blocks provide fundamental elements of the electrothermal material characteristics in view of the lifetime estimation. Electrothermal phenomenon analysis of surge arresters is based on empirically-determined parameter models, using finite element method (FEM) simulated on COMSOL Multiphysics software which is a more precise approach compared to the existing models. In this paper, the behavioural model has been developed to study the surge arresters in both cases: the steady state and overvoltage state (lightning). Previous published works validate the first simulation results. This work is therefore extended to consider other operating states, which illustrate the dependence of the type of surge on the amplitudes and durations of electrothermal phenomena.
Volume: 11
Issue: 3
Page: 1865-1875
Publish at: 2021-06-01

A finite set-model predictive control based on FPGA flatform for eleven-level cascaded H-Bridge inverter fed induction motor drive

10.11591/ijpeds.v12.i2.pp845-857
Mai Van Chung , Do Tuan Anh , Phuong Vu
Model predictive control has been considered as a powerful alternative control method in power converters and electrical drives recently. This paper proposes a novel method for finite control set predictive control algorithm foran induction motor fed by 11-level cascaded H-Bridge converter. To deal with the high computation volume of MPC algorithm applied for CHBconverter, 7-adjacent vectors method is applied for calculating the desired voltage vector which minimizes the cost function. Moreover, by utilizingfield programmable gate array (FPGA) platform with its flexible structure,the total execution time reduces considerably so that the selected voltage vector can be applied immediately without delay compensation. This method improves the dynamic responses and steady-state performance of the system. Finally, experimental results verify the effectiveness of control design
Volume: 12
Issue: 2
Page: 845-857
Publish at: 2021-06-01

An evaluation of the artificial neural network based on the estimation of daily average global solar radiation in the city of Surabaya

10.11591/ijeecs.v22.i3.pp1245-1250
Adi Kurniawan , Anisa Harumwidiah
The estimation of the daily average global solar radiation is important since it increases the cost efficiency of solar power plant, especially in developing countries. Therefore, this study aims at developing a multi layer perceptron artificial neural network (ANN) to estimate the solar radiation in the city of Surabaya. To guide the study, seven (7) available meteorological parameters and the number of the month was applied as the input of network. The ANN was trained using five-years data of 2011-2015. Furthermore, the model was validated by calculating the mean average percentage error (MAPE) of the estimation for the years of 2016-2019. The results confirm that the aforementioned model is feasible to generate the estimation of daily average global solar radiation in Surabaya, indicated by MAPE of less than 15% for all testing years.
Volume: 22
Issue: 3
Page: 1245-1250
Publish at: 2021-06-01

Nurse competence in implementing public health care

10.11591/ijphs.v10i2.20711
Suprapto Suprapto , Trimaya Cahya Mulat , Nur Syamsi Norma Lalla
Health development is a way of increasing awareness, willingness and ability to live healthy for everyone so that an optimal degree of public health can be achieved. The purpose of knowing how the relationship between nurse competence and community health care activities. This study employed quantitative approach and correlation analysis. The population was nurses who work at public health center in Makassar City, Indonesia, however there were 118 nurses who meet the criteria in their selection. There were relationships between attitudes, skills, and competencies with the level of implementation of community health services and that there is an interaction between competence and training. The results of the competency analysis obtained an OR value of 6.429, meaning that public health center nurses who have good competence have a chance of 6.429 times to carry out community health care activities optimally. Most dominant with the implementation of public health care is the interaction between competence and training. The competence of nurses need to be improved in order to optimize the implementation of community health services through training, coaching through assigned teams, and collaborating with peers and providing support in the form of policies for rewards and sanctions such as nurse career paths.
Volume: 10
Issue: 2
Page: 428-432
Publish at: 2021-06-01

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

Students’ attitudes towards physics in Nine Years Basic Education in Rwanda

10.11591/ijere.v10i2.21173
Agnes Mbonyiryivuze , Lakhan Lal Yadav , Maurice Musasia Amadalo
This study investigated students’ attitudes towards physics in Nine Year Basic Education (9YBE) in Rwanda. Data were collected from 380 students from Kayonza and Gasabo Districts using a physics attitudes test. Findings illustrated that more than a quarter of participants felt that learning physics is boring. About 39% think that the subject of physics does not relate to the real-world experience. A significant number of participants had negative attitudes towards physics in terms of the effort required for learning. The findings also showed that the overall level for participants in physics problem-solving skills was low. The item-by-item analysis showed that the differences between responses of students from rural schools and their counterparts from urban schools in categories of problem-solving and physics concepts connections and understanding are statistically significant. It was found that many students in rural schools need to know more about the interpretation of a new equation to be able to apply it to a new physics problem.
Volume: 10
Issue: 2
Page: 648-659
Publish at: 2021-06-01

Knowledge and quality of life among Indonesian students during the COVID-19 pandemic

10.11591/ijphs.v10i2.20819
Prasojo Pribadi , Lolita Lolita , Rayi Citra Ayu Pangestuti , Heni Lutfiyati , Silvia Mareti , Azis Ikhsanudin
The increasing of online coronavirus disease-2019 (COVID-19) information-sharing in digital media can contribute to the emergence of misinformation in public. Much insufficient knowledge will confuse public understanding and affect their quality of life. The study purposed to assess the knowledge and its influence on Indonesian students' quality of life during the COVID-19 crisis. A cross-sectional study was conducted between October and December 2020 by distributing online questionnaires. The data analysis was run through the Spearman correlation method by using SPSS version 21.0. A total of 200 respondents aged over 17 years were recruited using a snowball sampling technique. Most study respondents had insufficient knowledge about COVID-19, 23% of them had moderate knowledge, and only 17.5% had high knowledge. They obtained primary sources of COVID-19 information from social media platforms. The results showed that health science students have a better understanding than social science students (ρ<0.001). The level of knowledge has a significant associated with psychological domain (ρ=0.020), environmental domain (ρ=0.046), and overall quality of life (ρ=0.047). Thus, the media control center is vital to encounter valid information in providing better knowledge and quality of life during a pandemic.
Volume: 10
Issue: 2
Page: 451-458
Publish at: 2021-06-01

Traffic-aware adaptive server load balancing for software defined networks

10.11591/ijece.v11i3.pp2211-2218
C. Fancy , M. Pushpalatha
Servers in data center networks handle heterogenous bulk loads. Load balancing, therefore, plays an important role in optimizing network bandwidth and minimizing response time. A complete knowledge of the current network status is needed to provide a stable load in the network. The process of network status catalog in a traditional network needs additional processing which increases complexity, whereas, in software defined networking, the control plane monitors the overall working of the network continuously. Hence it is decided to propose an efficient load balancing algorithm that adapts SDN. This paper proposes an efficient algorithm TA-ASLB-traffic-aware adaptive server load balancing to balance the flows to the servers in a data center network. It works based on two parameters, residual bandwidth, and server capacity. It detects the elephant flows and forwards them towards the optimal server where it can be processed quickly. It has been tested with the Mininet simulator and gave considerably better results compared to the existing server load balancing algorithms in the floodlight controller. After experimentation and analysis, it is understood that the method provides comparatively better results than the existing load balancing algorithms.
Volume: 11
Issue: 3
Page: 2211-2218
Publish at: 2021-06-01

School space selection preferences: Architectural perspective toward formal school

10.11591/ijere.v10i2.20726
Kurnia Widiastuti , Mohamad Joko Susilo , Hanifah Sausan Nurfinaputri
School space plays an essential role in creating a pleasurable learning atmosphere. The tendency of everyone to choose a school space also varies. By knowing this trend pattern, schools can be designed to improve student learning effectiveness. The purpose of this study was to find out which school spaces students choose to study, what kind of room criteria are needed, and distribution patterns of students' preference choices. This research used both the qualitative exploratory and quantitative methods using an open-ended question questionnaire for data collection. Data analysis techniques used qualitative analysis methods consisting of open coding, axial coding, and selective coding. The results showed that the library, mosque, and multimedia laboratory were the most preferred space for students to study at school. Some factors that influence the selection include thermal comfort, completeness of supporting facilities, and acoustic comfort.
Volume: 10
Issue: 2
Page: 502-511
Publish at: 2021-06-01

A spatiotemporal analysis of dengue hemorrhagic fever in Banyumas, Indonesia

10.11591/ijphs.v10i2.20713
Dwi Sarwani Sri Rejeki , Nunung Nurhayati , Budi Aji
Dengue hemorrhagic fever (DHF) is a public health problem in the world and also in Indonesia. One of the districts in Central Java that is still having problems with this disease is Banyumas, Indonesia. The incidence rate (IR) data in 2018 was 2.75 per 100,000 populations and the case fatality rate (CFR) was 3.64%. Spatiotemporal analysis was used to determine local variation, geographic determination of risk zones, and measurement of disease control interventions. Therefore, this study aimed to determine the distribution and grouping of dengue cases based on the spatiotemporal analysis. The design was observational with a cross-sectional spatial analysis. This study was conducted in Banyumas, Indonesia with the analysis unit for dengue fever patients in 2018 using as many as 57 cases. Furthermore, the data analysis used includes overlay, buffering, and clustering with SaTScan and ArcGis software. The results showed that there was a clustering of dengue cases in Banyumas, with one primary and three secondary clusters detected. The primary cluster occurred in March-April 2018, involving four sub-districts in urban areas. It was then concluded that the significantly identified clusters indicate a transmission of dengue fever in the Banyumas area with a radius of three kilometers.
Volume: 10
Issue: 2
Page: 231-240
Publish at: 2021-06-01

The evolution of energy requirements of smartphones based on user behaviour and implications of the COVID-19 era

10.11591/ijece.v11i3.pp2423-2431
Abdullah Mahmoud Almasri , Luis Borges Gouveia
Smartphones have evolved to become frequent companions to humans. The common problem shared by Android users of smartphones was, and continues to be, about saving their batteries and preventing the need to use any recharging tools. A significant number of studies have been performed in the general field of "saving energy in smartphones". During a state of global lockdown, the use of smartphone devices has skyrocketed, and many governments have implemented location-tracking applications for their citizens as means of ensuring that the imposed governmental restrictions are being adhered to. Since smartphones are battery-powered, the opportunity to conserve electricity and ensure that the handset does not have to be charged so much or that it does not die and impede location-tracking during this period of crisis is of vital significance, impacting not only the reliability of tracking, but also the usability of the mobile itself. While there are methods to reduce the battery’s drain from mobile app use, they are not fully utilized by users. Simultaneously, the following the manuscript demonstrates the growing prevalence of mobile applications in daily lives, as well as the disproportionally increasing phone functionality, which results in the creation of a dependency towards smartphone use and the need of energy to recharge and operate theses smartphones.
Volume: 11
Issue: 3
Page: 2423-2431
Publish at: 2021-06-01
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