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Suicidal thoughts among university students: The role of mattering, state self-esteem and depression level

10.11591/ijere.v9i3.20587
Kususanto Ditto Prihadi , Charon Y.S. Wong , Erina Y.V. Chong , Kate Y.X. Chong
The protective role of mattering on suicide ideation among university students was examined. Our study is grounded in the Interpersonal-Psychological Theory of Suicide, which led to a hypothesis that between depression levels and state self-esteem has significant serial multiple mediating effects on the relationship between mattering and suicide ideation. University students from various nationality who study in Indonesia and Malaysia (n=509) responded to General Mattering Scale, State Self-Esteem Scale, Beck’s Depression Inventory, and Suicide Ideation Attributes Scale, as well as demographic details including their gender, spirituality, education, birth order and nationality. The result of Bootstrap analyses with 95% confident interval from 5000 samples suggested that the serial mediation partially occurred to the link between mattering and suicide ideation.
Volume: 9
Issue: 3
Page: 494-502
Publish at: 2020-08-01

Vertical intent prediction approach based on Doc2vec and convolutional neural networks for improving vertical selection in aggregated search

10.11591/ijece.v10i4.pp3869-3882
Sanae Achsas , El Habib Nfaoui
Vertical selection is the task of selecting the most relevant verticals to a given query in order to improve the diversity and quality of web search results. This task requires not only predicting relevant verticals but also these verticals must be those the user expects to be relevant for his particular information need. Most existing works focused on using traditional machine learning techniques to combine multiple types of features for selecting several relevant verticals. Although these techniques are very efficient, handling vertical selection with high accuracy is still a challenging research task. In this paper, we propose an approach for improving vertical selection in order to satisfy the user vertical intent and reduce user’s browsing time and efforts. First, it generates query embeddings vectors using the doc2vec algorithm that preserves syntactic and semantic information within each query. Secondly, this vector will be used as input to a convolutional neural network model for increasing the representation of the query with multiple levels of abstraction including rich semantic information and then creating a global summarization of the query features. We demonstrate the effectiveness of our approach through comprehensive experimentation using various datasets. Our experimental findings show that our system achieves significant accuracy. Further, it realizes accurate predictions on new unseen data.
Volume: 10
Issue: 4
Page: 3869-3882
Publish at: 2020-08-01

Power system fault identification and localization using multiple linear regression of principal component distance indices

10.11591/ijape.v9.i2.pp113-126
Alok Mukherjee , Palash Kr. Kundu , Arabinda Das
This paper is focused on the application of principal component analysis (PCA) to classify and localize power system faults in a three phase, radial, long transmission line using receiving end line currents taken almost at the midpoint of the line length. The PCA scores are analyzed to compute principal component distance index (PCDI) which is further analyzed using a ratio based analysis to develop ratio index matrix (R) and ratio error matrix (RE) and ratio error index (REI) which are used to develop a fault classifier, which produces a 100% correct prediction. The later part of the paper deals with the development of a fault localizer using the same PCDI corresponding to six intermediate training locations, which are analyzed with tool like Multiple Linear Regression (MLR) in order to predict the fault location with significantly high accuracy of only 87 m for a 150 km long radial transmission line.
Volume: 9
Issue: 2
Page: 113-126
Publish at: 2020-08-01

Electrochemical properties of kenaf-derived activated carbon electrodes under different activation time durations for supercapacitor application

10.11591/ijeecs.v19.i2.pp1105-1112
Muhammad Nizam Abdul Razak , Zulkarnain Ahmad Noorden , Farid Nasir Ani , Zulkurnain Abdul Malek , Jasrul Jamani Jamian , Nouruddeen Bashir
The electrochemical properties of supercapacitors with kenaf-derived activated carbon electrodes under different activation time durations were evaluated. The study aims to determine the optimum activation time required that contributes to highest supercapacitor’s perfomance. Kenaf fibre was firstly carbonized at 400 °C to remove its water content and any volatile substances. The resulted kenaf-derived carbon was then impregnated in potassium hydroxide (KOH) with 4:1 impregnation ratio and left overnight. After the impregnation process, the carbon sample was activated at 600 °C with different heating time durations of 1, 2, 3 and 4 hours and named as A600-1, A600-2, A600-3 and A600-4, repectively. Four supercapacitors with the kenaf-derived activated carbon samples as the electrodes were fabricated based on two-electrode symmetrical test cell system. Specific capacitances of 108, 189, 242, and 126 F/g for supercapacitors with activated carbon A600-1, A600-2, A600-3 and A600-4 electrodes, respectively were achieved. These were much higher than previously reported values of only up to 37 F/g. The finding suggests that an inexpensive fibrous carbon material derived from kenaf by a facile pyrolysis process may be a remarkable choice to construct high performance supercapacitor.
Volume: 19
Issue: 2
Page: 1105-1112
Publish at: 2020-08-01

Texture classification of fabric defects using machine learning

10.11591/ijece.v10i4.pp4390-4399
Yassine Ben Salem , Mohamed Naceur Abdelkrim
In this paper, a novel algorithm for automatic fabric defect classification was proposed, based on the combination of a texture analysis method and a support vector machine SVM. Three texture methods were used and compared, GLCM, LBP, and LPQ. They were combined with SVM’s classifier. The system has been tested using TILDA database. A comparative study of the performance and the running time of the three methods was carried out. The obtained results are interesting and show that LBP is the best method for recognition and classification and it proves that the SVM is a suitable classifier for such problems. We demonstrate that some defects are easier to classify than others.
Volume: 10
Issue: 4
Page: 4390-4399
Publish at: 2020-08-01

The MRAC based-adaptive control system for controlling the speed of direct current motor

10.11591/ijeecs.v19.i2.pp723-728
Manh-Cuong Nguyen , Duc-Phuc Vuong , Trong-Thang Nguyen
This research aims to propose an adaptive control system for controlling the speed of the direct current (DC) motor. The system consists of two control loops: the first control loop is a traditional PID controller and the second control loop is an adaptive controller. The role of the adaptive controller is adjusting the output of the control object follows with the output of the reference model. The adjustment mechanism is very simple, but the quality of the whole system is very high: the conversion time is short and there isn't overshoot. The quality of the proposed adaptive control system is also compared to the traditional PID control system to show the advantages of the new system.
Volume: 19
Issue: 2
Page: 723-728
Publish at: 2020-08-01

Simulation of small-scale waste biomass gasification integrated power production: a comparative performance analysis for timber and wood waste

10.11591/ijape.v9.i2.pp147-152
Sahar Safarian , Runar Unnthorsson , Christiaan Richter
A simulation model for integrated waste biomass gasification with cogeneration heat and power has been developed using Aspen Plus. The model can be used as a predictive tool for optimization of the gasifier performance. The system has been modeled in four stages. Firstly, moisture content of biomass is reduced. Secondly biomass is decomposed into its elements by specifying yield distribution. Then gasification reactions have been modeled using Gibbs free energy minimization approach. Finally, power is generated through the internal combustion engine as well as heat recovery system generator. In simulation study, the operating parameters like temperature, equivalence ratio (ER) and biomass moisture content are varied over wide range and their effect on syngas composition, low heating value (LHV) and electrical efficiency (EE) are investigated. Overally, increasing temperature and decreasing ER and MC lead to improvement of the gasification performance. However, for maximum electrical efficiency, it is important to find the optimal values of operating conditions.The optimum temperature, ER and MC of the down draft gasifier for timber and wood waste are 800 ̊C, 0.2- 0.3 and 5%. At such optimum conditions, CO and H2 reach to the highest production and LHV and EE are around 7.064 MJ Nm-3 and 45%, respectively.
Volume: 9
Issue: 2
Page: 147-152
Publish at: 2020-08-01

True power loss reduction by augmented mine blast algorithm

10.11591/ijict.v9i2.pp83-91
Kanagasabai Lenin
In this paper, Mine Blast Algorithm (MBA) has been intermingled with Harmony Search (HS) algorithm for solving optimal reactive power dispatch problem. MBA is based on explosion of landmines and HS is based on Creativeness progression of musicians – both are hybridized to solve the problem.  In MBA Initial distance of shrapnel pieces are reduced gradually to allow the mine bombs search the probable global minimum location in order to amplify the global explore capability. Harmony search (HS) imitates the music creativity process where the musicians supervise their instruments’ pitch by searching for a best state of harmony. Hybridization of Mine Blast Algorithm with Harmony Search algorithm (MH) improves the search effectively in the solution space. Mine blast algorithm improves the exploration and harmony search algorithm augments the exploitation. At first the proposed algorithm starts with exploration & gradually it moves to the phase of exploitation. Proposed Hybridized Mine Blast Algorithm with Harmony Search algorithm (MH) has been tested on standard IEEE 14, 300 bus test systems. Real power loss has been reduced considerably by the proposed algorithm. Then Hybridized Mine Blast Algorithm with Harmony Search algorithm (MH) tested in IEEE 30, bus system (with considering voltage stability index)- real power loss minimization, voltage deviation minimization, and voltage stability index enhancement has been attained.
Volume: 9
Issue: 2
Page: 83-91
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

A systematic review of photovoice as participatory action research strategies

10.11591/ijere.v9i3.20581
Nadi Suprapto , Titin Sunarti , Suliyanah Suliyanah , Desi Wulandari , Hasan Nuurul Hidayaatullaah , Alif Syaiful Adam , Husni Mubarok
Photovoice research is conducted by researchers to communicate images or photographs, and it has high confidence in analyzing the value, story or meaning of an image. Several previous studies that examined photovoice as a research strategy were analyzed and reviewed. This systematic review used an article selection process. It was defining the purpose, conducting a literature search, pulling articles by reading abstracts, reading the full paper, data abstraction, and conducting an analysis. The photovoice article selection was classified into education, health, and social science domain. Finally, forty-one articles have been reviewed with the total of participants involved ranged from five to fifty individuals. The majority of research method in the articles was participatory action research (PAR) through qualitative inquiry or field visits. Meanwhile, the research instruments used photography, documentation, observation, and interviews. In various fields of research, photovoice is able to increase the understanding of individuals or groups to interpret the content of an image or photo.
Volume: 9
Issue: 3
Page: 675-683
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

Types of mathematical tasks used in secondary classroom instruction

10.11591/ijere.v9i3.20617
Valbona Berisha , Ruzhdi Bytyqi
This study examined the quality and types of mathematical tasks used for classroom instruction in an upper secondary school – gymnasium. All the mathematical tasks presented in nine different school classrooms during the first semester of the school year 2018/2019 were analysed against a 5D analytical framework. The dimensions of the individual task analysis were contextual features; the answer forms required; forms of presentation; types of required mathematical activity and cognitive demands involved. Performed analysis gived perspective on the learning opportunities offered in classroom instruction for building mathematical competencies specified in the current state education curriculum. The results indicate that the selection of tasks was not in accordance with the curriculum requirements. Mostly, teachers used close-ended, non-applicative, lower-level cognitive tasks presented in symbolic form, promoting operations and calculations as a central activity. These types of tasks are usually associated with knowledge and skills of lower orders. In this case, classroom instruction had low potential and very little room left to build a significant portion of competencies and learning outcomes of higher orders.
Volume: 9
Issue: 3
Page: 751-758
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
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