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31,456 Article Results

The impact of inteprofessional education to health students’ collaborative competencies

10.11591/ijere.v9i3.20489
Desak Ketut Ernawati , Desak Ketut Indrasari Utami
One of the aims of Interprofessional education (IPE) is to foster collaboration amongst healthcare professionals. IPE has been adopted at Udayana University by involving seven health courses at Udayana University, Bali, Indonesia. These students were assigned to 49 groups which composed the seven health course students. They learned working in collaboration from cases identified in the community. The activities spanned for five semesters. At the beginning of their activities the students received interprofessional collaboration competencies attainment survey (ICCAS). The survey has been validated in the population and has two collaborative competencies, namely communication and collaboration. This was a report of ICCAS employment in Semester III dan IV of the first cohort of IPE Program at Udayana University. 138 students completed the survey in both semesters. A paired-sample t-test was conducted to compare the mean score differences of collaboration and communication in the first and second semesters of attending IPE learning. Whilst, there was no significant differences on the mean score for communication, there was a significant difference in the mean score for pre and post collaboration (94.7±9.7) and (91.0±10.8); t(130)=3.379, p=0.001. These results suggest that the collaboration competencies amongst the seven health courses students reduced after one semester attending IPE activities. These findings indicated that the study design and learning tasks should be amended to ensure students gain the most of their learning in collaboration.
Volume: 9
Issue: 3
Page: 660-664
Publish at: 2020-08-01

Comparison study between NPWM and NSVPWM strategy in FSMC control of stator reactive and active powers control of a DFIG-based wind turbine system

10.11591/ijape.v9.i2.pp159-172
Habib Benbouhenni , Zinelaabidine Boudjema , Abdelkader Belaidi
In this work, we present a comparative study between neural space vector pulse width modulation (NSVPWM) and neural pulse width modulation (NPWM) technique in fuzzy-sliding mode control (FSMC) of stator active and stator reactive power control of a doubly fed induction generator (DFIG) for wind energy conversion systems (WECSs). Two strategies approach using FSMC-NSVPWM and FSMC-NPWM are proposed and compared. The validity of the proposed strategies is verified by simulation tests of a DFIG (1.5MW). The reactive power, electromagnetic torque, rotor current and stator active power is determined and compared in the above strategies. The obtained results showed that the proposed FSMC with NSVPWM strategy has stator reactive and active power with low powers ripples and low rotor current harmonic distortion than NPWM strategy.
Volume: 9
Issue: 2
Page: 159-172
Publish at: 2020-08-01

A hybrid bacterial foraging-particle swarm optimization technique for solving optimal reactive power dispatch problem

10.11591/ijape.v9.i2.pp127-134
P. Lokender Reddy , Yesuratnam Guduri
This paper presents a hybrid evolutionary computation algorithm termed as hybrid bacterial foraging-particle swarm optimization (HBFPSO) algorithm, to optimal reactive power dispatch (ORPD) problem. HBFPSO algorithm merges velocity and position updating strategy of particle swarm optimization (PSO) algorithm and reproduction and elimination dispersal of bacterial foraging algorithm (BFA). The ORPD is solved for minimization of two objective functions; system real power loss and voltage stability L-index. The objective is minimized by optimally choosing the control variables; generator excitations, tap positions of on-load tap changing transformers and switched var compensators while satisfying their constraints and also the constraints of dependent variables; voltages of all load buses and reactive power generation of all generators. The proposed approach has been evaluated on a standard IEEE 30 bus test system and 24 bus EHV southern region equivalent Indian power system. The results offered by the proposed algorithm are compared with those offered by other evolutionary computation algorithms reported in the recent state of the art literature and the superiority of the proposed algorithm is demonstrated.
Volume: 9
Issue: 2
Page: 127-134
Publish at: 2020-08-01

Meta-heuristic techniques for optimal design of analog and digital filter

10.11591/ijeecs.v19.i2.pp669-679
El Beqal Asmae , Kritele Loubna , Benhala Bachir , Zorkani Izeddine
In this paper, two Meta-heuristic techniques; namely ant colony optimization (ACO) and genetic algorithm (GA) have been applied for the optimal design of digital and analog filters. Those techniques have been used to solve multimodal optimization problem in infinite impulse response (IIR) filter design and to select the optimal component values from industrial series as well as to minimize the total design error of a 2nd order Sallen-Key active band-pass filter, also a comparison between the performances reached by those two Meta-heuristics was made in this article.
Volume: 19
Issue: 2
Page: 669-679
Publish at: 2020-08-01

Numerical analysis of MHD casson fluid flow over an exponentially accelerated vertical plate in embedded porous medium with ramped wall temperature and ramped surface concentration in uniform magnetic field

10.11591/ijape.v9.i2.pp89-99
Ch. Vijaya Bhaskar , Siva Reddy Sheri , Anjan Kumar Suram
Numerical analysis of MHD casson fluid flow over an exponentially accelerated vertical plate in embedded porous medium with ramped wall temperature and ramped surface concentration has investigated in the current investigation. The flow governing dimensional velocity, temperature and concentration differential equations are converted into non dimensional form by using non-dimensional variables. Numerical solutions to the converted equations are obtained by finite element method. The results are presented graphically and in tabular form for various controlling parameters. In order to highlig ht the validity and accuracy of our present method, we have compared our results with the results obtained earlier. A very good validation of the present numerical results has been achieved.
Volume: 9
Issue: 2
Page: 89-99
Publish at: 2020-08-01

Investigations on feeding techniques of dielectric resonator antenna at 26 GHz

10.11591/ijeecs.v19.i2.pp864-869
Irfan Ali , Mohd Haizal Jamaluddin , Abinash Gaya
In this paper, Microstrip slot aperture and Microstrip line feeding techniques of dielectric resonator antenna are investigated and examined at 26 GHz for 5G applications. The dielectric resonator has a dielectric constant of 10 and etched on Rogers RT/Duroid 5880 substrate having a thickness of 0.254mm and relative permittivity of 2.2. The proposed structures are optimized and simulated using the commercial software CST Microwave studio. The effect of feeding techniques on the bandwidth, radiation efficiency, gain, VSWR and radiation pattern are also examined and analysed. The return loss, bandwidth, gain, radiation efficiency, VSWR and radiation pattern are presented and compared based on the excitation method employed for the studied DRA. The simulated results show that the microstrip slot aperture provides good performance and is suitable for 5G applications.
Volume: 19
Issue: 2
Page: 864-869
Publish at: 2020-08-01

Optimal placement of PMU for complete observability of the interconnected power network considering zero-injection bus: A numerical approach

10.11591/ijape.v9.i2.pp135-146
Rohit Babu , Biplab Bhattacharyya
This paper presents an approach to place the phasor measurement unit (PMU)optimally, which minimizes the setup cost of PMU. This methodology attains complete state estimation of the interconnected power networks. An integer linear programming (ILP) method is explored for the optimal PMU placement problem. It is used to determine the optimal location and minimum number of PMUs necessary to make the interconnected power network completely observable. ILP may provide many solutions if acquainting buses to zero injection buses are unhandled. In the case of more than one solution, a bus observability redundancy index and total system observability redundancy index is proposed to find the most promising solutions set for redundancy measurement. The proposed algorithm is applied to benchmark the optimal PMU placement solutions for the IEEE 14-bus, IEEE 30-bus, New England 39-bus, IEEE 118-bus, and NRPG 246-bus test systems. The obtained results of the proposed approach are compared with the existing standard algorithm, and it is observed that the proposed approach achieves complete observability of the interconnected power network under base-load conditions.
Volume: 9
Issue: 2
Page: 135-146
Publish at: 2020-08-01

Solving optimal reactive power problem by enhanced fruit fly optimization algorithm and status of material algorithm

10.11591/ijape.v9.i2.pp100-106
Kanagasabai Lenin
This paper proposes enhanced fruit fly optimization algorithm (EFF) and status of material algorithm (SMA) to solve the optimal reactive power problem. Fruit fly optimization algorithm is based on the food finding behavior of the fruit fly. There are two steps in food finding procedure of fruit fly: At first it smells the food source by means of osphresis organ and it flies in that direction; afterwards, when it gets closer to the food site, through its sensitive vision it will find the food. At the beginning of the run by diminishing the inertia weight from a large value to a small value, will lead to enhance the global search capability and more local search ability will be in process the end of the run of the EFF algorithm. Then SMA is projected to solve the problem. Three state of material are solid, liquid, and gas. For evolution procedure direction vector operator assign a direction to every molecule consecutively to guide the particle progression. Collision operator imitates the collisions factor in which molecules are interacting to each other. Proposed enhanced EFF, SMA has been tested in standard IEEE 30 bus test system and simulation results show the projected algorithms reduced the real power loss considerably.
Volume: 9
Issue: 2
Page: 100-106
Publish at: 2020-08-01

Value preferences and requirements of the students attending the regional boarding secondary schools

10.11591/ijere.v9i3.20539
Sibel Yazıcı , Nuray Kurtdede Fidan
The aim of the study was to reveal the preferences and requirements of the students attending the Regional Boarding Secondary Schools (YBO) concerning the values contain in the educational program of the social studies course. The study was designed within the framework of phenomenology which is among the qualitative research methods. The participants of the study are 79 eight grade students attending a regional boarding secondary school in the Turkey. The data of the study are collected through a survey questionnaire with two parts which contains open-ended items. The data were analysed using the descriptive and content analyses. The findings of the study show that the participants do not differ based on gender and the socio-economic background of their families. The frequently preferred values by the participants are found to be attaching importance to the family unity, honesty, sympathy and patriotism. Another finding is that the participants do not provide a clear justification for each of the values they preferred. This suggests that it is difficult to establish a justification for the value. However, requirements value justifications are analyzed, it is seen that students they express the definition of value, its importance and the expectations of having this specific value.
Volume: 9
Issue: 3
Page: 635-643
Publish at: 2020-08-01

Series active power filter supplied by fuel cell for mitigating power quality issues

10.11591/ijape.v9.i2.pp173-192
Abdallah Ben Abdelkader , Othmane Abdelkhalek , Youssef Mouloudi , Mohamed Amine Hartani , Benabid Slimane
In this paper, the combination of the series active power filter (SAPF) with a fuel cell (FC) source is deliberated. The FC based on the SAPF aims to compensate voltage deviations or disturbances that occur in the system caused by power quality issues. The proposed system consists of a fuel cell source connected to the DC l ink through two DC-DC converters, the first extracts the maximum power of the FC source through pulse width modulation (PWM) signals generated from the maximum power point tracker (MPPT) controller. Thus, the second converter is used to regulate the high voltage side of the converter through closed control loops, in addition to a voltage source inverter (VSI) and a series injection transformer. Despite of fluctuations of the DC link during the compensation of the needed energy, MPPT and closed control loops generate PWM signals to the switching devices of DC-DC boost converters in order to extract maximum fuel cell power and to maintain the bus voltage within its limits and around its reference values respectively. The proposed topology is simulated in MATLAB/Simulink software, where simulation results show that the proposed FC based SAPF can efficiently reduce problems of voltage sags-wells and harmonics.
Volume: 9
Issue: 2
Page: 173-192
Publish at: 2020-08-01

Polar wolf optimization algorithm for solving optimal reactive power problem

10.11591/ijape.v9.i2.pp107-112
Kanagasabai Lenin
This paper proposes polar wolf optimization (PWO) algorithm to solve the optimal reactive power problem. Proposed algorithm enthused from actions of polar wolves. Leader’s wolves which denoted as xα are accountable for taking judgment on hunting, resting place, time to awaken etc. second level is xβ those acts when there is need of substitute in first case. Then xγ be as final level of the wolves. In the modeling social hierarchy is developed to discover the most excellent solutions acquired so far. Then the encircling method is used to describe circle-shaped vicinity around every candidate solutions. In order to agents work in a binary space, the position modernized accordingly. Proposed PWO algorithm has been tested in standard IEEE 14, 30, 57,118,300 bus test systems and simulation results show the projected algorithms reduced the real power loss considerably.
Volume: 9
Issue: 2
Page: 107-112
Publish at: 2020-08-01

Real power loss reduction by tundra wolf algorithm

10.11591/ijict.v9i2.pp100-104
Kanagasabai Lenin
In this work Tundra wolf algorithm (TWA) is proposed to solve the optimal reactive power problem. In the projected Tundra wolf algorithm (TWA) in order to avoid the searching agents from trapping into the local optimal the converging towards global optimal is divided based on two different conditions. In the proposed Tundra wolf algorithm (TWA) omega tundra wolf has been taken as searching agent as an alternative of indebted to pursue the first three most excellent candidates. Escalating the searching agents numbers will perk up the exploration capability of the Tundra wolf wolves in an extensive range.  Proposed Tundra wolf algorithm (TWA) has been tested in standard IEEE 14, 30 bus test systems and simulation results show the proposed algorithm reduced the real power loss effectively.
Volume: 9
Issue: 2
Page: 100-104
Publish at: 2020-08-01

Modeling and control of 41-level inverter using best switching angles calculation method

10.11591/ijape.v9.i2.pp153-158
Alla Eddine Toubal Maamar , M'hamed Helaimi , Rachid Taleb , Abdelatif Gadoum
In this paper, analysis and modeling of a single-phase H-bridge forty-one level inverter are con sidered. The control of proposed inverter by equal-phase and half-height methods is implemented. MATLAB/Simulink environments are used to simulate the model an d show obtained results of waveforms with FFT analysis. Eventually, the total harmonic distortion obtained for each level with the two methods is presented, comparatively, for a comparison.
Volume: 9
Issue: 2
Page: 153-158
Publish at: 2020-08-01

Power system state estimation using teaching learning-based optimization algorithm

10.12928/telkomnika.v18i4.14159
Surender Reddy; Woosong University Salkuti
The main goal of this paper is to formulate power system state estimation (SE) problem as a constrained nonlinear programming problem with various constraints and boundary limits on the state variables. SE forms the heart of entire real time control of any power system. In real time environment, the state estimator consists of various modules like observability analysis, network topology processing, SE and bad data processing. The SE problem formulated in this work is solved using teaching leaning-based optimization (TLBO) technique. Difference between the proposed TLBO and the conventional optimization algorithms is that TLBO gives global optimum solution for the present problem. To show the suitability of TLBO for solving SE problem, IEEE 14 bus test system has been selected in this work. The results obtained with TLBO are also compared with conventional weighted least square (WLS) technique and evolutionary based particle swarm optimization (PSO) technique.
Volume: 18
Issue: 4
Page: 2125-2131
Publish at: 2020-08-01

Teaching challenges on the use of storytelling in elementary science lessons

10.11591/ijere.v9i3.20596
Hajah Nuruljannah Haji Matamit , Roslinawati Roslan , Masitah Shahrill , Hardimah Mohd Said
This study investigated the use of storytelling in teaching elementary science on the topic of ‘Sense Organs’ at the Grade 1 level. A total of 21 students from one of the elementary schools in Brunei Darussalam participated in the study. The qualitative analyses of the observations and video recordings resulted in the classifications of the challenges faced when storytelling was used in the lessons. The four identified categories were the language aspect, development aspect, external challenges and existing knowledge. These categories were then used to investigate further any aspect that would develop the challenges into the teaching and learning of science using storytelling. Despite identifying the challenges in using storytelling in teaching science, storytelling may enhance the students’ understanding of science concepts.
Volume: 9
Issue: 3
Page: 716-722
Publish at: 2020-08-01
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