Pub Date : 2023-07-12DOI: 10.28991/esj-2023-07-04-03
Pornpon Thamrongrat, Chaowanan Khundam, Pornpitak Pakdeebun, Dinna@Ninna Mohd Nizam
This study aimed to investigate the effectiveness of Virtual Reality (VR) technology for flexibility exercise and compare the physical outcomes, user experience, and engagement of VR desktops and VR headsets. The VR exercise application was designed using motion capture technology and exported to different VR devices. Each of the devices was used by 30 participants to perform a flexibility exercise in VR. Physical outcomes were measured using the sit-and-reach test, and user experience and engagement were evaluated using questionnaires and group discussions. The results showed that VR desktop participants had higher sit-and-reach scores. However, VR headset participants reported a more immersive experience (reality judgment) and motivation (value and usefulness). They also had higher engagement (focused attention and reward) levels than VR desktop participants. There were no significant differences between the two approaches in terms of enjoyment, effort, pressure, choice, correspondence, absorption, perceived usability, and aesthetic appeal. The study highlights the importance of considering physical outcomes, user experience, and engagement by comparing two different VR approaches for flexibility exercise. Further research is needed to explore the limitations and potential benefits of VR technology for physical activity. Doi: 10.28991/ESJ-2023-07-04-03 Full Text: PDF
{"title":"Desktop vs. Headset: A Comparative Study of User Experience and Engagement for Flexibility Exercise in Virtual Reality","authors":"Pornpon Thamrongrat, Chaowanan Khundam, Pornpitak Pakdeebun, Dinna@Ninna Mohd Nizam","doi":"10.28991/esj-2023-07-04-03","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-03","url":null,"abstract":"This study aimed to investigate the effectiveness of Virtual Reality (VR) technology for flexibility exercise and compare the physical outcomes, user experience, and engagement of VR desktops and VR headsets. The VR exercise application was designed using motion capture technology and exported to different VR devices. Each of the devices was used by 30 participants to perform a flexibility exercise in VR. Physical outcomes were measured using the sit-and-reach test, and user experience and engagement were evaluated using questionnaires and group discussions. The results showed that VR desktop participants had higher sit-and-reach scores. However, VR headset participants reported a more immersive experience (reality judgment) and motivation (value and usefulness). They also had higher engagement (focused attention and reward) levels than VR desktop participants. There were no significant differences between the two approaches in terms of enjoyment, effort, pressure, choice, correspondence, absorption, perceived usability, and aesthetic appeal. The study highlights the importance of considering physical outcomes, user experience, and engagement by comparing two different VR approaches for flexibility exercise. Further research is needed to explore the limitations and potential benefits of VR technology for physical activity. Doi: 10.28991/ESJ-2023-07-04-03 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41807120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-12DOI: 10.28991/esj-2023-07-04-010
Putthiporn Thanathamathee, Siriporn Sawangarreerak, Prateep Kongkla, Dinna@Ninna Mohd Nizam
In this study, we aimed to find an optimized approach to improving facial and masked facial recognition using machine learning and deep learning techniques. Prior studies only used a single machine learning model for classification and did not report optimal parameter values. In contrast, we utilized a grid search with hyperparameter tuning and nested cross-validation to achieve better results during the verification phase. We performed experiments on a large dataset of facial images with and without masks. Our findings showed that the SVM model with hyperparameter tuning had the highest accuracy compared to other models, achieving a recognition accuracy of 0.99912. The precision values for recognition without masks and with masks were 0.99925 and 0.98417, respectively. We tested our approach in real-life scenarios and found that it accurately identified masked individuals through facial recognition. Furthermore, our study stands out from others as it incorporates hyperparameter tuning and nested cross-validation during the verification phase to enhance the model's performance, generalization, and robustness while optimizing data utilization. Our optimized approach has potential implications for improving security systems in various domains, including public safety and healthcare.
{"title":"An Optimized Machine Learning and Deep Learning Framework for Facial and Masked Facial Recognition","authors":"Putthiporn Thanathamathee, Siriporn Sawangarreerak, Prateep Kongkla, Dinna@Ninna Mohd Nizam","doi":"10.28991/esj-2023-07-04-010","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-010","url":null,"abstract":"In this study, we aimed to find an optimized approach to improving facial and masked facial recognition using machine learning and deep learning techniques. Prior studies only used a single machine learning model for classification and did not report optimal parameter values. In contrast, we utilized a grid search with hyperparameter tuning and nested cross-validation to achieve better results during the verification phase. We performed experiments on a large dataset of facial images with and without masks. Our findings showed that the SVM model with hyperparameter tuning had the highest accuracy compared to other models, achieving a recognition accuracy of 0.99912. The precision values for recognition without masks and with masks were 0.99925 and 0.98417, respectively. We tested our approach in real-life scenarios and found that it accurately identified masked individuals through facial recognition. Furthermore, our study stands out from others as it incorporates hyperparameter tuning and nested cross-validation during the verification phase to enhance the model's performance, generalization, and robustness while optimizing data utilization. Our optimized approach has potential implications for improving security systems in various domains, including public safety and healthcare.","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45897088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-12DOI: 10.28991/esj-2023-07-04-08
W. Elsayed
Objectives: The objective of this study is to evaluate the job performance efficiency of social workers in medical institutions during the COVID-19 pandemic crisis, based on three factors "job tasks, attitudes of co-workers, and difficulties" faced by social workers in performing their duties. Methods/Analysis: This study is a descriptive-analytical study. A comprehensive social survey approach was used to collect data from 54 social workers in isolation hospitals for coronavirus patients. A questionnaire was employed to gather the required data. The collected data were analyzed using weight analysis to determine the value and weighted relative weight of job performance efficiency. Findings: The results of the study showed that the job performance efficiency of social workers in medical institutions during the COVID-19 pandemic crisis was at a middle level, with a total weight of 3611 and a weighted relative weight of 55.7%. Moreover, the study found statistically significant differences in the degree of job performance efficiency according to gender, age, educational qualification, number of experience years, and number of training courses at a 5% significance level. Novelty/Improvement:The study recommends the development of the knowledge and skills of medical social workers through training courses on how to deal with global health crises and disasters. Additionally, reducing the administrative burdens on medical social workers is important, as these burdens restrict their role and limit their ability to perform their tasks with the medical team. Doi: 10.28991/ESJ-2023-07-04-08 Full Text: PDF
{"title":"Job Performance Evaluation of Medical Social Workers during Covid-19 Crisis: Tasks, Attitudes, and Difficulties","authors":"W. Elsayed","doi":"10.28991/esj-2023-07-04-08","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-08","url":null,"abstract":"Objectives: The objective of this study is to evaluate the job performance efficiency of social workers in medical institutions during the COVID-19 pandemic crisis, based on three factors \"job tasks, attitudes of co-workers, and difficulties\" faced by social workers in performing their duties. Methods/Analysis: This study is a descriptive-analytical study. A comprehensive social survey approach was used to collect data from 54 social workers in isolation hospitals for coronavirus patients. A questionnaire was employed to gather the required data. The collected data were analyzed using weight analysis to determine the value and weighted relative weight of job performance efficiency. Findings: The results of the study showed that the job performance efficiency of social workers in medical institutions during the COVID-19 pandemic crisis was at a middle level, with a total weight of 3611 and a weighted relative weight of 55.7%. Moreover, the study found statistically significant differences in the degree of job performance efficiency according to gender, age, educational qualification, number of experience years, and number of training courses at a 5% significance level. Novelty/Improvement:The study recommends the development of the knowledge and skills of medical social workers through training courses on how to deal with global health crises and disasters. Additionally, reducing the administrative burdens on medical social workers is important, as these burdens restrict their role and limit their ability to perform their tasks with the medical team. Doi: 10.28991/ESJ-2023-07-04-08 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47863470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-12DOI: 10.28991/esj-2023-07-04-022
Jebashini Ponnian, Senthil Pari, U. Ramadass, Chee Pun Ooi
The challenges of innovative IC technology typically come with various new design constraints in terms of circuit implementation, behaviour, scaling, and an accurate power-delay model to evaluate the circuit's performance. The circuit realization technique using GDI is gaining popularity because of its power and transistor utilization factors. Considering the core advantage of the GDI technique, this research presents the creation of new GDI library cells implemented using the MUX-based algorithm and its delay-power model. This research defines two goals; the former goal depicts the proposal of GDI library cells with full swing using a MUX-based signal connectivity model, and the later presents the mathematical delay-power model for the proposed GDI library cells. The number of attributes defined in the delay and power model incorporates minimum variables without sacrificing precision. It calculates the delay for simple RC networks and combinational circuits with multiple paths. The power model is given using the node activity factor and the power factor related to the internal node capacitances, wiring, and gate capacitances of the driving and receiving GDI nodes. The experimental results of this study, which conform to the specifications of the sub-micron library supported for the SilTerra 130 nm 6-metal layer fabricated for the CMOS n-well process, demonstrate that the proposed GDI library is indeed superior in terms of delay-transistor and power utilisation to PTL and CMOS technology. The simulation results reveal that there is 55 to 65 % improvement in terms of power and delay factor with the existing CMOS and PTL logic. The proposed delay model demonstrates that GDI cells require less logical effort than CMOS technology. The proposed power model shows that the node activity factor of the proposed GDI cells lies between 0.1 and 0.2, while in CMOS, it is between 0.1 and 0.3. Doi: 10.28991/ESJ-2023-07-04-022 Full Text: PDF
{"title":"A Unified Power-Delay Model for GDI Library Cell Created Using New Mux Based Signal Connectivity Algorithm","authors":"Jebashini Ponnian, Senthil Pari, U. Ramadass, Chee Pun Ooi","doi":"10.28991/esj-2023-07-04-022","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-022","url":null,"abstract":"The challenges of innovative IC technology typically come with various new design constraints in terms of circuit implementation, behaviour, scaling, and an accurate power-delay model to evaluate the circuit's performance. The circuit realization technique using GDI is gaining popularity because of its power and transistor utilization factors. Considering the core advantage of the GDI technique, this research presents the creation of new GDI library cells implemented using the MUX-based algorithm and its delay-power model. This research defines two goals; the former goal depicts the proposal of GDI library cells with full swing using a MUX-based signal connectivity model, and the later presents the mathematical delay-power model for the proposed GDI library cells. The number of attributes defined in the delay and power model incorporates minimum variables without sacrificing precision. It calculates the delay for simple RC networks and combinational circuits with multiple paths. The power model is given using the node activity factor and the power factor related to the internal node capacitances, wiring, and gate capacitances of the driving and receiving GDI nodes. The experimental results of this study, which conform to the specifications of the sub-micron library supported for the SilTerra 130 nm 6-metal layer fabricated for the CMOS n-well process, demonstrate that the proposed GDI library is indeed superior in terms of delay-transistor and power utilisation to PTL and CMOS technology. The simulation results reveal that there is 55 to 65 % improvement in terms of power and delay factor with the existing CMOS and PTL logic. The proposed delay model demonstrates that GDI cells require less logical effort than CMOS technology. The proposed power model shows that the node activity factor of the proposed GDI cells lies between 0.1 and 0.2, while in CMOS, it is between 0.1 and 0.3. Doi: 10.28991/ESJ-2023-07-04-022 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44641652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-12DOI: 10.28991/esj-2023-07-04-05
A. Semin, D. Mironov, M. Kislitskiy, Alexander Zasypkin, Valery M. Ivanov
The aim of this study is to systematize and improve the theoretical and methodological framework for implementing digital twin technology. The study focuses on digital twins in agriculture. This paper is designed to solve the scientific problem associated with the development of a methodological framework for the implementation of digital twins in the work of agricultural organizations. Using methods of analysis of socio-economic phenomena and processes on the basis of a set of scientific approaches, economic-statistical analysis, and others, the study considers the importance of digital twins of agricultural machinery and equipment, identifies trends in agriculture determined by digitalization, and suggests promising areas for digital twins of agricultural machinery and equipment. This paper also examines the theoretical basis for the implementation of digital twin technology in the agricultural sector of production. New research results complement the theoretical provisions on the essence of digital twin technology; develop the methodological provisions of digital twin technology, represented by the study of their significance, principles, and features of operation. The study may be seen as academically novel as it reveals the prerequisites for implementing digital technology in agriculture as well as clarifies and improves the theoretical and methodological provisions of the application of digital twin technology in various sectors of agriculture.
{"title":"Improving the Theoretical and Methodological Framework for Implementing Digital Twin Technology in Various Sectors of Agriculture","authors":"A. Semin, D. Mironov, M. Kislitskiy, Alexander Zasypkin, Valery M. Ivanov","doi":"10.28991/esj-2023-07-04-05","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-05","url":null,"abstract":"The aim of this study is to systematize and improve the theoretical and methodological framework for implementing digital twin technology. The study focuses on digital twins in agriculture. This paper is designed to solve the scientific problem associated with the development of a methodological framework for the implementation of digital twins in the work of agricultural organizations. Using methods of analysis of socio-economic phenomena and processes on the basis of a set of scientific approaches, economic-statistical analysis, and others, the study considers the importance of digital twins of agricultural machinery and equipment, identifies trends in agriculture determined by digitalization, and suggests promising areas for digital twins of agricultural machinery and equipment. This paper also examines the theoretical basis for the implementation of digital twin technology in the agricultural sector of production. New research results complement the theoretical provisions on the essence of digital twin technology; develop the methodological provisions of digital twin technology, represented by the study of their significance, principles, and features of operation. The study may be seen as academically novel as it reveals the prerequisites for implementing digital technology in agriculture as well as clarifies and improves the theoretical and methodological provisions of the application of digital twin technology in various sectors of agriculture.","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43124762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Statistical analysis of extreme events such as flood events is often carried out to predict large return period events. The behaviour of extreme events not only involves heavy-tailed distributions but also skewed distributions, similar to the four-parameter Kappa distribution (K4D). In general, this covers many extreme distributions such as the generalized logistic distribution (GLD), the generalized extreme value distribution (GEV), the generalized Pareto distribution (GPD), and so on. To utilize these distributions, we have to estimate parameters accurately. There are many parameter estimation methods, for example, Method of Moments, Maximum Likelihood Estimator, L-Moments, or partial L-Moments. Nowadays, no researchers have applied the partial L-Moments method to estimate the parameters of K4D. Therefore, the objective of this paper is to derive the partial L-Moments (PL-Moments) for K4D, namely the PL-Moments of the K4D in order to estimate hydrological extremes from censored data. The findings of this paper are formulas of parameter estimation for K4D based on the PL-Moments approach. We have derived the Partial Probability-Weighted Moments (PPWMs) of the K4D (β'r) and derive the estimation of parameters when separated by shape parameters (k,h) conditions i.e., case k>-1 and h>0, case k>-1 and h=0 and case -1
{"title":"The Partial L-Moment of the Four Kappa Distribution","authors":"Pannarat Guayjarernpanishk, Piyapatr Bussababodhin, Monchaya Chiangpradit","doi":"10.28991/esj-2023-07-04-06","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-06","url":null,"abstract":"Statistical analysis of extreme events such as flood events is often carried out to predict large return period events. The behaviour of extreme events not only involves heavy-tailed distributions but also skewed distributions, similar to the four-parameter Kappa distribution (K4D). In general, this covers many extreme distributions such as the generalized logistic distribution (GLD), the generalized extreme value distribution (GEV), the generalized Pareto distribution (GPD), and so on. To utilize these distributions, we have to estimate parameters accurately. There are many parameter estimation methods, for example, Method of Moments, Maximum Likelihood Estimator, L-Moments, or partial L-Moments. Nowadays, no researchers have applied the partial L-Moments method to estimate the parameters of K4D. Therefore, the objective of this paper is to derive the partial L-Moments (PL-Moments) for K4D, namely the PL-Moments of the K4D in order to estimate hydrological extremes from censored data. The findings of this paper are formulas of parameter estimation for K4D based on the PL-Moments approach. We have derived the Partial Probability-Weighted Moments (PPWMs) of the K4D (β'r) and derive the estimation of parameters when separated by shape parameters (k,h) conditions i.e., case k>-1 and h>0, case k>-1 and h=0 and case -1<k<-1/h and h<0. Finally, we expect that the parameter estimate for K4D from this formula will help to make accurate forecasts. Doi: 10.28991/ESJ-2023-07-04-06 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43853902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-12DOI: 10.28991/esj-2023-07-04-023
D. Kairiša, A. Valdovska, I. Vircava, I. Pilvere, L. Proskina, Daiga Gāliņa, Guntis Gutmanis, Sandijs Meskis
The research aim is to examine the possibilities of including the sodium humate (NaHum) additive derived from freshwater sapropel in feed to identify its effects on growth performance, promote haematopoiesis, and modulate the microbiota of the intestinal tract. The research was done under production conditions, complying with Latvian and European Union legislation on the keeping, feeding, and welfare of farm animals. The research had three replications, and for each of them, two groups of Holstein breeding heifers were established: control (3xn=7) and research (3xn=7). The duration of each replication was 9 days in the adaptation period and 105 days in the research period. The heifers of the research group received the NaHum solution additive with feed from the 1st to 35th day (stage 1) at an intake rate of 0.4 mL/kg of live weight, from the 36th to 70th day (stage 2) at an intake rate of 0.5 mL/kg of live weight, and from the 71st to 105th day (stage 3) at an intake rate of 0.6 mL/kg of live weight. The breeding heifers of the research group, receiving NaHum at an intake rate of 0.6 mL/kg of live weight, achieved a significantly higher live weight gain at stage 3 and an overall numerically higher live weight gain (by 4.8 kg) than the control group during the research period. Consequently, a significantly higher relative growth ratio (0.334) was found in the research group at stage 3, which was 0.028 higher than that in the control group. The Lactobacillus spp. count in faecal samples was steady at the end of the research; a significant difference was found between groups, with the average ranging between 6.95 (control group) and 8.49 log CFU/g (research (NaHum) group). The novelty of the research is that it was scientifically proven that feeding the NaHum additive derived from freshwater lake sapropel to the breeding Holstein heifers up to 5 months of age increased their feed intake and live weight gain, as well as activity and health. Doi: 10.28991/ESJ-2023-07-04-023 Full Text: PDF
{"title":"The Effect of Sodium Humate Feed Additives in Diets for Holstein Breed Heifers","authors":"D. Kairiša, A. Valdovska, I. Vircava, I. Pilvere, L. Proskina, Daiga Gāliņa, Guntis Gutmanis, Sandijs Meskis","doi":"10.28991/esj-2023-07-04-023","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-023","url":null,"abstract":"The research aim is to examine the possibilities of including the sodium humate (NaHum) additive derived from freshwater sapropel in feed to identify its effects on growth performance, promote haematopoiesis, and modulate the microbiota of the intestinal tract. The research was done under production conditions, complying with Latvian and European Union legislation on the keeping, feeding, and welfare of farm animals. The research had three replications, and for each of them, two groups of Holstein breeding heifers were established: control (3xn=7) and research (3xn=7). The duration of each replication was 9 days in the adaptation period and 105 days in the research period. The heifers of the research group received the NaHum solution additive with feed from the 1st to 35th day (stage 1) at an intake rate of 0.4 mL/kg of live weight, from the 36th to 70th day (stage 2) at an intake rate of 0.5 mL/kg of live weight, and from the 71st to 105th day (stage 3) at an intake rate of 0.6 mL/kg of live weight. The breeding heifers of the research group, receiving NaHum at an intake rate of 0.6 mL/kg of live weight, achieved a significantly higher live weight gain at stage 3 and an overall numerically higher live weight gain (by 4.8 kg) than the control group during the research period. Consequently, a significantly higher relative growth ratio (0.334) was found in the research group at stage 3, which was 0.028 higher than that in the control group. The Lactobacillus spp. count in faecal samples was steady at the end of the research; a significant difference was found between groups, with the average ranging between 6.95 (control group) and 8.49 log CFU/g (research (NaHum) group). The novelty of the research is that it was scientifically proven that feeding the NaHum additive derived from freshwater lake sapropel to the breeding Holstein heifers up to 5 months of age increased their feed intake and live weight gain, as well as activity and health. Doi: 10.28991/ESJ-2023-07-04-023 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45245832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-12DOI: 10.28991/esj-2023-07-04-07
Amine Hadek, Soumia Bekkali, Souad Ajana
This study aims to study the benefits of lean approach implementation in engineering education in Morocco by using three concrete case studies to present a comparative analysis between situations with and without Lean approach deployment. The first project focuses on improving internet access. The second project aims to improve the conduct of practicum sessions. The third project aims to identify and improve the performance of the processes implemented in the student affairs department. In this research study, deductive methodology is followed, also called the "hypothetical-deductive approach", First, we presented a synthetic analysis of Lean implementation studies existing in the literature between 2000-2023, then we presented three Lean implementation projects in the engineering school in Morocco. This research work allowed us to present, with concrete cases, the contribution of the approach to engineering education in Morocco, whether it is in the teaching processes or in the support and management processes within an engineering school. The involvement and sensibilization of the resources represent key success factors of this Lean transformation. This research work can serve as a baseline reference for other Lean implementation initiatives in the field of education in Morocco. On the one hand, while examining the literature, we found a scarcity of studies that have presented a comparison between the situation without and with the Lean approach. On the other hand, the Lean approach is a new concept that has never been discussed concretely in the context of Moroccan engineering; the present research fills that gap. Doi: 10.28991/ESJ-2023-07-04-07 Full Text: PDF
{"title":"Evaluation of the Lean Approach Implementation in Engineering Education","authors":"Amine Hadek, Soumia Bekkali, Souad Ajana","doi":"10.28991/esj-2023-07-04-07","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-07","url":null,"abstract":"This study aims to study the benefits of lean approach implementation in engineering education in Morocco by using three concrete case studies to present a comparative analysis between situations with and without Lean approach deployment. The first project focuses on improving internet access. The second project aims to improve the conduct of practicum sessions. The third project aims to identify and improve the performance of the processes implemented in the student affairs department. In this research study, deductive methodology is followed, also called the \"hypothetical-deductive approach\", First, we presented a synthetic analysis of Lean implementation studies existing in the literature between 2000-2023, then we presented three Lean implementation projects in the engineering school in Morocco. This research work allowed us to present, with concrete cases, the contribution of the approach to engineering education in Morocco, whether it is in the teaching processes or in the support and management processes within an engineering school. The involvement and sensibilization of the resources represent key success factors of this Lean transformation. This research work can serve as a baseline reference for other Lean implementation initiatives in the field of education in Morocco. On the one hand, while examining the literature, we found a scarcity of studies that have presented a comparison between the situation without and with the Lean approach. On the other hand, the Lean approach is a new concept that has never been discussed concretely in the context of Moroccan engineering; the present research fills that gap. Doi: 10.28991/ESJ-2023-07-04-07 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42578099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-12DOI: 10.28991/esj-2023-07-04-025
Jose Cornejo, S. Barrera, C. A. Herrera Ruiz, F. Gutierrez, M. O. Casasnovas, Leonardo Kot, M. A. Solis, R. Larenas, F. Castro-Nieny, M. R. Arbulú Saavedra, R. Rodríguez Serrezuela, Y. Muñoz Londoño, Alejandro Serna, D. Ortega-Aranda, S. Aranda-Miramontes, I. Chang, M. Cardona, A. Carrasquilla-Batista, R. Palomares, R. Rodríguez, Ruben Parisuaña, Miguel Bórquez, Oscar Navarro, Fernando Sanchez, I. Bonev, J. Coulombe, F. Martín Rico, B. L. Treviño-Elizondo, H. García-Reyes, A. Sollazzo, A. Dubor, A. Markopoulou, C. De Marinis, M. Chacin, Andres Mora, M. Pérez-Ruiz, A. Ribeiro, E. L'Huillier
Mechatronics and Robotics (MaR) have recently gained importance in product development and manufacturing settings and applications. Therefore, the Center for Space Emerging Technologies (C-SET) has managed an international multi-disciplinary study to present, historically, the first Latin American general review of industrial, collaborative, and mobile robotics, with the support of North American and European researchers and institutions. The methodology is developed by considering literature extracted from Scopus, Web of Science, and Aerospace Research Central and adding reports written by companies and government organizations. This describes the state-of-the-art of MaR until the year 2023 in the 3 Sub-Regions: North America, Central America, and South America, having achieved important results related to the academy, industry, government, and entrepreneurship; thus, the statistics shown in this manuscript are unique. Also, this article explores the potential for further work and advantages described by robotic companies such as ABB, KUKA, and Mecademic and the use of the Robot Operating System (ROS) in order to promote research, development, and innovation. In addition, the integration with industry 4.0 and digital manufacturing, architecture and construction, aerospace, smart agriculture, artificial intelligence, and computational social science (human-robot interaction) is analyzed to show the promising features of these growing tech areas, considering the improvements to increase production, manufacturing, and education in the Region. Finally, regarding the information presented, Latin America is considered an important location for investments to increase production and product development, taking into account the further proposal for the creation of the LATAM Consortium for Advanced Robotics and Mechatronics, which could support and work on roboethics and education/R+D+I law and regulations in the Region. Doi: 10.28991/ESJ-2023-07-04-025 Full Text: PDF
机电一体化和机器人技术(MaR)最近在产品开发、制造环境和应用中获得了重要地位。因此,空间新兴技术中心(C-SET)在北美和欧洲研究人员和机构的支持下,进行了一项国际多学科研究,历史上首次对拉丁美洲的工业、协作和移动机器人进行了全面审查。该方法是通过考虑Scopus、Web of Science和Aerospace Research Central的文献,并添加公司和政府组织撰写的报告而开发的。这描述了截至2023年,北美、中美洲和南美洲三个子区域MaR的最先进水平,在学院、工业、政府和创业方面取得了重要成果;因此,这份手稿中显示的统计数据是独一无二的。此外,本文还探讨了ABB、KUKA和Mecademic等机器人公司进一步工作的潜力和优势,以及机器人操作系统(ROS)的使用,以促进研究、开发和创新。此外,还分析了与工业4.0和数字制造、建筑和施工、航空航天、智能农业、人工智能和计算社会科学(人机交互)的融合,以显示这些不断增长的技术领域的前景,同时考虑到该地区生产、制造和教育的改善。最后,就所提供的信息而言,考虑到建立LATAM先进机器人和机电一体化联盟的进一步提议,拉丁美洲被认为是增加生产和产品开发的重要投资地,该联盟可以支持并致力于该地区的机器人伦理和教育/R+D+I法律法规。Doi:10.2899/1ESJ-2023-07-04-025全文:PDF
{"title":"Industrial, Collaborative and Mobile Robotics in Latin America: Review of Mechatronic Technologies for Advanced Automation","authors":"Jose Cornejo, S. Barrera, C. A. Herrera Ruiz, F. Gutierrez, M. O. Casasnovas, Leonardo Kot, M. A. Solis, R. Larenas, F. Castro-Nieny, M. R. Arbulú Saavedra, R. Rodríguez Serrezuela, Y. Muñoz Londoño, Alejandro Serna, D. Ortega-Aranda, S. Aranda-Miramontes, I. Chang, M. Cardona, A. Carrasquilla-Batista, R. Palomares, R. Rodríguez, Ruben Parisuaña, Miguel Bórquez, Oscar Navarro, Fernando Sanchez, I. Bonev, J. Coulombe, F. Martín Rico, B. L. Treviño-Elizondo, H. García-Reyes, A. Sollazzo, A. Dubor, A. Markopoulou, C. De Marinis, M. Chacin, Andres Mora, M. Pérez-Ruiz, A. Ribeiro, E. L'Huillier","doi":"10.28991/esj-2023-07-04-025","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-025","url":null,"abstract":"Mechatronics and Robotics (MaR) have recently gained importance in product development and manufacturing settings and applications. Therefore, the Center for Space Emerging Technologies (C-SET) has managed an international multi-disciplinary study to present, historically, the first Latin American general review of industrial, collaborative, and mobile robotics, with the support of North American and European researchers and institutions. The methodology is developed by considering literature extracted from Scopus, Web of Science, and Aerospace Research Central and adding reports written by companies and government organizations. This describes the state-of-the-art of MaR until the year 2023 in the 3 Sub-Regions: North America, Central America, and South America, having achieved important results related to the academy, industry, government, and entrepreneurship; thus, the statistics shown in this manuscript are unique. Also, this article explores the potential for further work and advantages described by robotic companies such as ABB, KUKA, and Mecademic and the use of the Robot Operating System (ROS) in order to promote research, development, and innovation. In addition, the integration with industry 4.0 and digital manufacturing, architecture and construction, aerospace, smart agriculture, artificial intelligence, and computational social science (human-robot interaction) is analyzed to show the promising features of these growing tech areas, considering the improvements to increase production, manufacturing, and education in the Region. Finally, regarding the information presented, Latin America is considered an important location for investments to increase production and product development, taking into account the further proposal for the creation of the LATAM Consortium for Advanced Robotics and Mechatronics, which could support and work on roboethics and education/R+D+I law and regulations in the Region. Doi: 10.28991/ESJ-2023-07-04-025 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47903748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-12DOI: 10.28991/esj-2023-07-04-015
Nafiz Fahad, K. O. Michael Goh, Md. Ismail Hossen, K. M. Shahriar Shopnil, Israt Jahan Mitu, Md. A. Hossain Alif, Connie Tee
The purpose of this approach is to find out the effects and efficiently detect fake news by using a publicly available dataset. However, it is difficult for human beings to judge an article's truthfulness manually, which is why This paper mainly wanted to cure the effect and to found out an automated fake news detection system with benchmark accuracy by using a machine learning classifier, which must be higher than other recent research works. In essence, this work’s target is to find out an efficient way to detect fake and real news, and it also the target is to compare with existing work where researchers used machine learning classifiers and deep learning architecture. The proposed approach depended on a systematic literature review and a publicly available dataset where 7796 news data are recorded with 50% real and 50% fake news. The best and benchmark accuracy is 93.61%, achieved by the Support Vector Machine (SVM) among the used Random Forest, Decision Tree, KNN, and Logistics Regression classifiers, and the achieved accuracy is better than the exciting recent research works. Moreover, fake news is detected, people are able to differentiate between fake or real news, and effects are cured when people used SVM. Doi: 10.28991/ESJ-2023-07-04-015 Full Text: PDF
{"title":"Stand up Against Bad Intended News: An Approach to Detect Fake News using Machine Learning","authors":"Nafiz Fahad, K. O. Michael Goh, Md. Ismail Hossen, K. M. Shahriar Shopnil, Israt Jahan Mitu, Md. A. Hossain Alif, Connie Tee","doi":"10.28991/esj-2023-07-04-015","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-015","url":null,"abstract":"The purpose of this approach is to find out the effects and efficiently detect fake news by using a publicly available dataset. However, it is difficult for human beings to judge an article's truthfulness manually, which is why This paper mainly wanted to cure the effect and to found out an automated fake news detection system with benchmark accuracy by using a machine learning classifier, which must be higher than other recent research works. In essence, this work’s target is to find out an efficient way to detect fake and real news, and it also the target is to compare with existing work where researchers used machine learning classifiers and deep learning architecture. The proposed approach depended on a systematic literature review and a publicly available dataset where 7796 news data are recorded with 50% real and 50% fake news. The best and benchmark accuracy is 93.61%, achieved by the Support Vector Machine (SVM) among the used Random Forest, Decision Tree, KNN, and Logistics Regression classifiers, and the achieved accuracy is better than the exciting recent research works. Moreover, fake news is detected, people are able to differentiate between fake or real news, and effects are cured when people used SVM. Doi: 10.28991/ESJ-2023-07-04-015 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45412591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}