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Emerging Science Journal
Published by Ital Publication
ISSN : 26109182     EISSN : -     DOI : -
Core Subject : Social,
Environmental Science
Emerging Science Journal is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering and sciences. While it encourages a broad spectrum of contribution in the engineering and sciences. Articles of interdisciplinary nature are particularly welcome.
Arjuna Subject : -
Articles 874 Documents
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Blended Experiential Learning with e-Portfolios Learning to Enhance Creative Imagination N. Sitthimongkolchai; C. Viriyavejakul; S. Tuntiwongwanich
Emerging Science Journal Vol 6 (2022): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-SIED-03

Abstract

Our research developed out of concerns about whether design students currently have enough creative imagination because of COVID-19, changing design studies to online learning. This paper describes an empirical study testing the effect of Blended Experiential Learning with e-Portfolios Learning on the Creative Imagination of design students to compare the differences in the effectiveness of design students' Creative Imagination scores. It was hypothesized that first-year design students learning through blended experiential learning with e-Portfolios would have higher Creative Imagination scores when compared to those in the control group learning by not following the format. The multistage sampling method was used to select the study population, and the sample consisted of 111 participants. The test was run in two steps, including 1) the try-out, conducted with the sample group of 45 participants using the Dependent T-Test to compare the pre-test and post-test Creative Imagination scores, and 2) the trial run, conducted with the sample group of 33 participants (learning by following the format), and the control group of 33 participants (learning by not following the format) to compare the Creative Imagination scores. MANOVA was then used to test whether at least one component of the creative imagination test scores of the experimental group was higher than the control group. The Test of Creative Imagery Abilities (TCIA) assessment was used to collect the data, which was then analysed using the T-test. Doi: 10.28991/ESJ-2022-SIED-03 Full Text: PDF
Brightness as an Augmentation Technique for Image Classification Ibrahem Kandel; Mauro Castelli; Luca Manzoni
Emerging Science Journal Vol 6, No 4 (2022): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-04-015

Abstract

Augmentation techniques are crucial for accurately training convolution neural networks (CNNs). Therefore, these techniques have become the preprocessing methods. However, not every augmentation technique can be beneficial, especially those that change the image’s underlying structure, such as color augmentation techniques. In this study, the effect of eight brightness scales was investigated in the task of classifying a large histopathology dataset. Four state-of-the-art CNNs were used to assess each scale’s performance. The use of brightness was not beneficial in all the experiments. Among the different brightness scales, the [0.75–1.00] scale, which closely resembles the original brightness of the images, resulted in the best performance. The use of geometric augmentation yielded better performance than any brightness scale. Moreover, the results indicate that training the CNN without applying any augmentation techniques led to better results than considering brightness augmentation. Therefore, experimental results support the hypothesis that brightness augmentation techniques are not beneficial for image classification using deep-learning models and do not yield any performance gain. Furthermore, brightness augmentation techniques can significantly degrade the model’s performance when they are applied with extreme values. Doi: 10.28991/ESJ-2022-06-04-015 Full Text: PDF
Color Preferences for Morning and Evening Chronotypes Viera Guzoňová; Kateřina Bočková
Emerging Science Journal Vol 6, No 4 (2022): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-04-010

Abstract

The presented paper deals with the symbolism of colors, i.e., color associations. The aim of the paper is to verify the correlation of colors and their symbolism. The combination of color and its meaning was based on the existence of a physiological variable, namely the psychophysiological state. The diurnal preference of individuals was used for this purpose, which divided the subjects according to the chronotype into morning and evening groups. From this starting point, the color preferences of the examined people were monitored in the final phase by means of a color evaluation test. The theoretical part of the paper provides a theoretical framework and starting points for research. The research part describes in detail the research process, especially the methods used. The research itself was attended by 720 people aged 20–40 years. As research methods were used: the Composite scale of morningness, Bourdon's performance test, the Subjective scale of activation, and the Color evaluation test. The respondents had the task of associating colors with their current psychophysiological state. The established hypotheses were mostly confirmed. From a broader point of view, we have come to the conclusion that people attribute certain properties to individual colors, so there is psychic content belonging to individual colors. The colors expressing activity included yellow, orange, and red, and respondents from the group of evening chronotypes also included blue. Calm colors include blue, green, and gray. The most indifferent color was purple. The obtained results were statistically significant. There were also relatively strong correlations in the evaluation of colors due to the psychological focus of the research. Other stimuli for research were also found in the research. Doi: 10.28991/ESJ-2022-06-04-010 Full Text: PDF
Vector Control of Asynchronous Motor of Drive Train Using Speed Controller H∞ Abdelhak Boudallaa; Mohammed Chennani; Driss Belkhayat; Karim Rhofir
Emerging Science Journal Vol 6, No 4 (2022): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-04-012

Abstract

This study proposes the speed control of an asynchronous motor (AM) using the Antiwindup design. First, the conventional vector control based on proportional-integral (PI) controllers is developed for a constant speed set point. Then, a driving cycle is based on measurements on the Safi/Rabat motorway in Morocco using a microcontroller equipped with a GPS device. The collected practical speed is used as a speed reference for conventional vector control. The /Antiwindup controller of the direct rotor flow-oriented control is used to improve the performance of conventional vector control and optimize the energy consumption of the drive train. The effectiveness of the proposed control scheme is verified by numerical simulation. The results of the numerical validation of the proposed scheme showed good performance compared to conventional vector control. The speed control systems are analyzed for different operating conditions. These control strategies are simulated in the MATLAB/SIMULINK environment. The simulation results of the improved vector control of the Asynchronous Machine (AM) are used to validate this optimization approach in the dynamic regime, followed by a comparative analysis to evaluate the performance and effectiveness of the proposed approach. A practical model based on a TMS320F28379D embedded board and its reduced voltage inverter (24V) is used to implement the proposed method and verify the simulation results. Doi: 10.28991/ESJ-2022-06-04-012 Full Text: PDF
The Impact of Conflict Management Styles on Organizational Performance: A Comparative Analysis Gezim Shabani; Arbëresha Behluli; Fidan Qerimi
Emerging Science Journal Vol 6, No 4 (2022): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-04-07

Abstract

Objectives: This study aims to identify the styles of conflict management in public and private enterprises in Kosovo, measure their impacts on organizational performance, and thus fill the gap that exists between the applied style and the one that has the most impact on performance. Methods: The study used the quantitative method to answer the research questions. The study participants included 100 public and 100 private sector managers. Findings: In the private sector, the most commonly used style is compromise, while the avoidance style is the least adopted. In the public sector, managers use the dominating style for conflict management while using the obliging style the least. According to the OLS model, the obligating style explains organizational performance in the private sector, while organizational performance is explained more by the compromising style in the public sector. Novelty/improvement: This research contributes to an in-depth understanding of the association of organizational performance with conflict management styles in the private and public sectors of Kosovo. It shows through a comparative approach that organizational performance improves drastically by selecting the appropriate style of conflict management. Doi: 10.28991/ESJ-2022-06-04-07 Full Text: PDF
Effects and Perceptions of Mobile Learning in Higher Education Sami Al-Qatawneh; Najeh Alsalhi; Mohd. Eltahir; Fayiz Althunibat; Mazan Jaradat; Khaled Aljarrah
Emerging Science Journal Vol 6 (2022): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-SIED-06

Abstract

Objectives: This study aimed to investigate the effect of mobile learning on students’ achievement in the grammar of the Arabic language, and their attitude towards the use of mobile learning. Methods/Analysis: The study was conducted using a quasi-experimental design, case study. The sample comprised 170 students, divided into two groups: an experimental group (n = 87) and a control group (n = 83). An achievement test and a questionnaire were used to collect data, which was analyzed using SPSS. Findings: The findings revealed statistically significant differences between the two groups, with the experimental group showing better scholastic achievement on the test. The results also show that the students of the experimental group were more positive towards mobile learning. Novel contribution: The study recommends further studies on the use of mobile learning in universities and schools. It is necessary to emphasize and focus on further studies on the use of mobile learning within universities and schools to confirm and provide evidence of the significance of mobile learning in terms of facilitating, promoting, and enhancing the educational process. Doi: 10.28991/ESJ-2022-SIED-06 Full Text: PDF
Associated Patterns and Predicting Model of Life Trauma, Depression, and Suicide Using Ensemble Machine Learning Saifon Aekwarangkoon; Putthiporn Thanathamathee
Emerging Science Journal Vol 6, No 4 (2022): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-04-02

Abstract

This study aimed to find associated patterns by association rule mining and propose a prediction model using ensemble learning methods of high levels of trauma items affecting depression and suicide among primary school students in Thai rural extended opportunity schools. Our proposed methods were different from others that have analysed the relationship of high life trauma leading to depression and suicide by using statistical analysis. We found strongly associated patterns and effects among primary students’ trauma, depression, and suicide. The trauma of psychological abuse and neglect may result in suicide, whereas psychological abuse, neglect, and the experience of self-harm are also likely to result in the increased severity of traumatic events in life. The trauma of physical and sexual abuse, neglect, helplessness, feeling worthless, being weak, and self-harm were associated with depression. Our research discovered new knowledge that the risk of suicide arises from two extreme types of trauma: when children’s safety is frequently threatened and the family communicates frequently using rude or abusive words; these traumas may not merely correlate with depression but may ultimately result in suicide. Moreover, this study discovered 7 highly important trauma items and 4 suicide items for predicting depression and suicide using the Random Forest technique. We found that the Random Forest technique performed well in predicting depression and suicide. The predicted depression results show that the overall accuracy was 85.84%, precision was 89.33%, and recall was 75.28%. The predicted suicide results show that the overall accuracy was 91.28%, precision was 89.05%, and recall was 84.72%. From these results, we identified high life trauma affecting depression and suicide, which are very beneficial to practitioners to use in preliminary screening. In addition, those involved need to be aware and attentive in counselling these people with these symptoms in time. Doi: 10.28991/ESJ-2022-06-04-02 Full Text: PDF
Problem-Based Blended Training via Chatbot to Enhance the Problem-Solving Skill in the Workplace Waristha Saengrith; Chantana Viriyavejakul; Paitoon Pimdee
Emerging Science Journal Vol 6 (2022): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-SIED-01

Abstract

Problem-solving skill is one of the soft skills that has become essential for employees in various organizations. Training model and educational technology were considered key success factors in delivering knowledge for personnel in the workplace to develop this skill. Problem-Based Learning (PBL) is a key driver for learning activities, which has been increasingly adopted for workplace training and has proven to be one of the best approaches to helping learners improve their problem-solving skills in the organization. Hence, this research aims to synthesize problem-based blended training via chatbot to enhance problem-solving skills in the workplace. Literature review, document analysis, and focus group technique were used as the main procedures for the first phase of model synthesis. The effectiveness of the training model was examined in the second phase by applying it to 20 employees of the flexible lamination manufacturers in Thailand from purposive sampling. The training was held for four weeks and examined with a problem-solving skill test. In addition, a follow-up test has been conducted to monitor retention skills after a four-week training period. Data analysis used the repeated-measures ANOVA test with normality and homogeneity as a prerequisite test. This study shows that the problem-based blended training model via chatbot to enhance problem-solving skills in the workplace comprises six main steps: (1) Group identification; (2) Problem identification; (3) Idea creation; (4) Learning; (5) Implementation; (6) Evaluation. The results on the implemented training model showed that problem-solving skills after training were significantly higher than those before training, and the retention of skill remained higher than that before training and did not significantly change after finishing training at a statistical significance of 0.5. As a result, the developed model is highly appropriate for implementation, particularly because the chatbot platform is involved in almost every step of this training model to accommodate learners who can easily access the training platform, repeat the training content, and feel motivated to explore new information to improve their problem-solving skills. In a post-COVID-19 period with distancing required in the workplace, this model is applicable to deliver efficiency in workplace training. Doi: 10.28991/ESJ-2022-SIED-01 Full Text: PDF
Performance Improvement of Air-cooled Battery Thermal Management System using Sink of Different Pin-Fin Shapes O. Miracle Oyewola; A. Andrew Awonusi; O. Saheed Ismail
Emerging Science Journal Vol 6, No 4 (2022): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-04-013

Abstract

One of the most important influences on battery safety, capacity, and cell ageing is heat generation and temperature inhomogeneity, which cause unbalanced ageing, resulting in cell performance decline. A well-developed temperature management module is required to avoid such undesirable actions. In this study, an air-cooled temperature management module was developed by coupling a unique heat sink of different pin-fin geometries/shapes to prismatic Li-ion cells and a 3D transient analysis was conducted to simulate the cooling performance of this heat sink under the effect of inlet airflow velocities and temperatures at a discharge rate of 2C for three cases. The results in the form of maximum temperature and temperature homogeneity inside the battery were derived and compared to the commonly used circular pin-fin heat sink. The overall result indicates that case 2, which consists of uniform height, shows better promise than others, taking into consideration the geometry employed. After 600 s and at a constant inlet air velocity of 0.412 m/s across a range of 20 oC to 35 oC, it was found that this heat sink performed better, providing an average of 1.87% and 1.93% improvement in temperature homogeneity and battery maximum temperature, respectively. Also, at a constant inlet air temperature of 27 oC across the range of inlet air velocity of 0.206 m/s to 0.824 m/s, this heat sink provides an average of 1.77% and 0.27% improvement in temperature homogeneity and battery maximum temperature, respectively. Doi: 10.28991/ESJ-2022-06-04-013 Full Text: PDF
Analysis of Information Entropies for He-Like Ions Hamid Al-Jibbouri
Emerging Science Journal Vol 6, No 4 (2022): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-04-08

Abstract

The electronic structure, a special quality of an atomic or molecular system, is the major factor for further realization of physical results. However, in this paper, we present the topical issue of normalized electron density in position and momentum spaces, Shannon, Rényi, and Tsallis entropies to quantify the reach of electron delocalization for several atomic systems. Hartree-Fock-Roothaan (HFR) wave function is performed and considered for He-like ions using single-Zeta ????-type orbital (βTOs) basis set to investigate the affecting of electron density and information entropies. The electron density maxima in position space are raised, and their positions move toward the nucleus as Z increases, in accordance with the increasing attractive force of the nucleus, and vice versa in momentum space. Shannon’s entropy has impacted the delocalization of the electron in different atomic systems. In the limit γ→1, both Rényi and Tsallis entropy results recover Shannon’s entropy value. Rényi and Tsallis entropies decrease by increasing γ. Indeed, the estimated results have been calculated via the Wolfram Mathematica program and have good agreement with the literature results. The obtained results may be a useful reference for future studies on theoretical information quantities. Doi: 10.28991/ESJ-2022-06-04-08 Full Text: PDF

Page 33 of 88 | Total Record : 874

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