Pub Date : 2023-07-12DOI: 10.28991/esj-2023-07-04-021
Franz Frank, F. Bação
The objective of this article is to provide a comparative analysis of two novel genetic programming (GP) techniques, differentiable Cartesian genetic programming for artificial neural networks (DCGPANN) and geometric semantic genetic programming (GSGP), with state-of-the-art automated machine learning (AutoML) tools, namely Auto-Keras, Auto-PyTorch and Auto-Sklearn. While all these techniques are compared to several baseline algorithms upon their introduction, research still lacks direct comparisons between them, especially of the GP approaches with state-of-the-art AutoML. This study intends to fill this gap in order to analyze the true potential of GP for AutoML. The performances of the different tools are assessed by applying them to 20 benchmark datasets of the imbalanced binary classification field, thus an area that is a frequent and challenging problem. The tools are compared across the four categories average performance, maximum performance, standard deviation within performance, and generalization ability, whereby the metrics F1-score, G-mean, and AUC are used for evaluation. The analysis finds that the GP techniques, while unable to completely outperform state-of-the-art AutoML, are indeed already a very competitive alternative. Therefore, these advanced GP tools prove that they are able to provide a new and promising approach for practitioners developing machine learning (ML) models. Doi: 10.28991/ESJ-2023-07-04-021 Full Text: PDF
{"title":"Advanced Genetic Programming vs. State-of-the-Art AutoML in Imbalanced Binary Classification","authors":"Franz Frank, F. Bação","doi":"10.28991/esj-2023-07-04-021","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-021","url":null,"abstract":"The objective of this article is to provide a comparative analysis of two novel genetic programming (GP) techniques, differentiable Cartesian genetic programming for artificial neural networks (DCGPANN) and geometric semantic genetic programming (GSGP), with state-of-the-art automated machine learning (AutoML) tools, namely Auto-Keras, Auto-PyTorch and Auto-Sklearn. While all these techniques are compared to several baseline algorithms upon their introduction, research still lacks direct comparisons between them, especially of the GP approaches with state-of-the-art AutoML. This study intends to fill this gap in order to analyze the true potential of GP for AutoML. The performances of the different tools are assessed by applying them to 20 benchmark datasets of the imbalanced binary classification field, thus an area that is a frequent and challenging problem. The tools are compared across the four categories average performance, maximum performance, standard deviation within performance, and generalization ability, whereby the metrics F1-score, G-mean, and AUC are used for evaluation. The analysis finds that the GP techniques, while unable to completely outperform state-of-the-art AutoML, are indeed already a very competitive alternative. Therefore, these advanced GP tools prove that they are able to provide a new and promising approach for practitioners developing machine learning (ML) models. Doi: 10.28991/ESJ-2023-07-04-021 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44377464","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-2023-07-04-04
M. Muldarisnur, Ilham Perdana, E. Elvaswer, Dwi Puryanti
Sensors play a critical role in improving overall human quality of life. They have been employed in most aspects of our lives. A recently emerging sensing platform is based on plasmonic resonance at the boundary of metals and dielectrics. Localized surface plasmon resonances–based sensors offer miniaturization, a simple setup, and relatively high sensitivity for real-time measurements. The reported figure of merit (FOM) of the LSPR-based sensor is generally limited, primarily due to its broad resonance peak. Nanorings composed of metal nanoparticles are known for their broad-range resonance tunability, high field localization, and large sensing area. Asymmetry of the nanoring with the introduction of core offset relaxes the selection rule for mode mixing, thus resulting in a narrower resonance peak. This may overcome broad resonance peak restriction. Concentric and non-concentric nanorings were simulated using the boundary element method implemented with the MNPBEM toolbox. We map the performance of nanoring sensors over a wide range of geometrical variations, namely, diameter, ring shell thickness, and the offset of the inner ring to the center of the outer ring wall (core offset). Sensitivity and FOM were found to rely substantially on the nanoring size parameters. The sensing performance map helps to obtain optimized nanoring parameters for the intended spectral range region. The obtained high sensitivity and FOM are much higher than the data available in the literature over visible and NIR ranges. The findings demonstrate the potential of nanorings for biosensing applications. Doi: 10.28991/ESJ-2023-07-04-04 Full Text: PDF
{"title":"Mapping of Sensing Performance of Concentric and Non-Concentric Silver Nanoring","authors":"M. Muldarisnur, Ilham Perdana, E. Elvaswer, Dwi Puryanti","doi":"10.28991/esj-2023-07-04-04","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-04","url":null,"abstract":"Sensors play a critical role in improving overall human quality of life. They have been employed in most aspects of our lives. A recently emerging sensing platform is based on plasmonic resonance at the boundary of metals and dielectrics. Localized surface plasmon resonances–based sensors offer miniaturization, a simple setup, and relatively high sensitivity for real-time measurements. The reported figure of merit (FOM) of the LSPR-based sensor is generally limited, primarily due to its broad resonance peak. Nanorings composed of metal nanoparticles are known for their broad-range resonance tunability, high field localization, and large sensing area. Asymmetry of the nanoring with the introduction of core offset relaxes the selection rule for mode mixing, thus resulting in a narrower resonance peak. This may overcome broad resonance peak restriction. Concentric and non-concentric nanorings were simulated using the boundary element method implemented with the MNPBEM toolbox. We map the performance of nanoring sensors over a wide range of geometrical variations, namely, diameter, ring shell thickness, and the offset of the inner ring to the center of the outer ring wall (core offset). Sensitivity and FOM were found to rely substantially on the nanoring size parameters. The sensing performance map helps to obtain optimized nanoring parameters for the intended spectral range region. The obtained high sensitivity and FOM are much higher than the data available in the literature over visible and NIR ranges. The findings demonstrate the potential of nanorings for biosensing applications. Doi: 10.28991/ESJ-2023-07-04-04 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48571758","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-2023-07-04-024
Jinquan Zhou, Wenjin He, Susana Mieiro
This study focuses on how the COVID-19 epidemic affects gambling motivation and behavior. This research also analyzes the behavioral intervention effects of the anti-epidemic measures on the COVID-19 epidemic and the relationship between the epidemic impact and gambling motivation and behavior. To investigate these connections, this research used Structural Equation Modeling to analyze 334 valid questionnaires collected during COVID-19 from gamblers from mainland China who visited the Macao Special Administrative Region. The results showed that the epidemic impact negatively affected gambling motivation and behavior, and gambling motivation partially mediated the relationship between epidemic impact and gambling behavior. Anti-epidemic measures positively moderated the epidemic’s impact on gambling motivation and behavior. This paper offers a theoretical contribution by proving the influence of the social environment on human motivational behavior, especially the effect of the COVID-19 crisis, and the support of government and enterprise anti-epidemic measures for behavior intervention theory. The practicality of this study consists of behavioral interventions from anti-epidemic efforts by regional government and industry to cope with the epidemic. These measures should influence the gamblers’ behavior intentions by considering the health and safety strategies that may reduce the impact of the COVID-19 epidemic on mainland Chinese gamblers. Doi: 10.28991/ESJ-2023-07-04-024 Full Text: PDF
{"title":"The Impact of the COVID-19 Epidemic on Gambling Behavior Intention: The Moderating Effect of Anti-Epidemic Measure","authors":"Jinquan Zhou, Wenjin He, Susana Mieiro","doi":"10.28991/esj-2023-07-04-024","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-024","url":null,"abstract":"This study focuses on how the COVID-19 epidemic affects gambling motivation and behavior. This research also analyzes the behavioral intervention effects of the anti-epidemic measures on the COVID-19 epidemic and the relationship between the epidemic impact and gambling motivation and behavior. To investigate these connections, this research used Structural Equation Modeling to analyze 334 valid questionnaires collected during COVID-19 from gamblers from mainland China who visited the Macao Special Administrative Region. The results showed that the epidemic impact negatively affected gambling motivation and behavior, and gambling motivation partially mediated the relationship between epidemic impact and gambling behavior. Anti-epidemic measures positively moderated the epidemic’s impact on gambling motivation and behavior. This paper offers a theoretical contribution by proving the influence of the social environment on human motivational behavior, especially the effect of the COVID-19 crisis, and the support of government and enterprise anti-epidemic measures for behavior intervention theory. The practicality of this study consists of behavioral interventions from anti-epidemic efforts by regional government and industry to cope with the epidemic. These measures should influence the gamblers’ behavior intentions by considering the health and safety strategies that may reduce the impact of the COVID-19 epidemic on mainland Chinese gamblers. Doi: 10.28991/ESJ-2023-07-04-024 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48273459","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-2023-07-04-020
Xinjie Ye, H. Batool, Shi-Zheng Huang
As a new business model, e-commerce live broadcasting has great value in the commercial field. Based on value co-creation theory and the stimulus-organic-response model, this study explores the influence of physical cues in e-commerce live broadcast scenes on customer loyalty. Using the audience of China's e-commerce live broadcasting platform as the research object, 404 valid data points were collected through a questionnaire survey, and a structural equation analysis model was adopted to explore the relationship among the physical clues of the e-commerce live broadcasting scene, customer engagement, value co-creation, and customer loyalty and to verify the mediating effect of customer engagement and value co-creation. The research shows that aesthetic appeal, layout, and function have a positive impact on customer engagement, but financial security has no positive impact on customer engagement. In addition, value co-creation has an intermediary effect, and customer engagement and value co-creation have a double intermediary effect on physical cues and customer loyalty in e-commerce live broadcast scenes. The research not only expands the theory of value co-creation and scene but also provides practical reference value for e-commerce live broadcasting platforms and enterprises and promotes the design of physical cues in e-commerce live broadcasting scenes to improve customer loyalty. Doi: 10.28991/ESJ-2023-07-04-020 Full Text: PDF
{"title":"The Effect of Physical Cues on Customer Loyalty: Based on the Mediating Effect of Customer Engagement and Value Co-creation","authors":"Xinjie Ye, H. Batool, Shi-Zheng Huang","doi":"10.28991/esj-2023-07-04-020","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-020","url":null,"abstract":"As a new business model, e-commerce live broadcasting has great value in the commercial field. Based on value co-creation theory and the stimulus-organic-response model, this study explores the influence of physical cues in e-commerce live broadcast scenes on customer loyalty. Using the audience of China's e-commerce live broadcasting platform as the research object, 404 valid data points were collected through a questionnaire survey, and a structural equation analysis model was adopted to explore the relationship among the physical clues of the e-commerce live broadcasting scene, customer engagement, value co-creation, and customer loyalty and to verify the mediating effect of customer engagement and value co-creation. The research shows that aesthetic appeal, layout, and function have a positive impact on customer engagement, but financial security has no positive impact on customer engagement. In addition, value co-creation has an intermediary effect, and customer engagement and value co-creation have a double intermediary effect on physical cues and customer loyalty in e-commerce live broadcast scenes. The research not only expands the theory of value co-creation and scene but also provides practical reference value for e-commerce live broadcasting platforms and enterprises and promotes the design of physical cues in e-commerce live broadcasting scenes to improve customer loyalty. Doi: 10.28991/ESJ-2023-07-04-020 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45802841","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-2023-07-04-01
Gloria Pietropolli, Giuliamaria Menara, M. Castelli
Some optimization problems are difficult to solve due to a considerable number of local optima, which may result in premature convergence of the optimization process. To address this problem, we propose a novel heuristic method for constructing a smooth surrogate model of the original function. The surrogate function is easier to optimize but maintains a fundamental property of the original rugged fitness landscape: the location of the global optimum. To create such a surrogate model, we consider a linear genetic programming approach coupled with a self-tuning fitness function. More specifically, to evaluate the fitness of the produced surrogate functions, we employ Fuzzy Self-Tuning Particle Swarm Optimization, a setting-free version of particle swarm optimization. To assess the performance of the proposed method, we considered a set of benchmark functions characterized by high noise and ruggedness. Moreover, the method is evaluated over different problems’ dimensionalities. The proposed approach reveals its suitability for performing the proposed task. In particular, experimental results confirm its capability to find the global argminimum for all the considered benchmark problems and all the domain dimensions taken into account, thus providing an innovative and promising strategy for dealing with challenging optimization problems. Doi: 10.28991/ESJ-2023-07-04-01 Full Text: PDF
{"title":"A Genetic Programming Based Heuristic to Simplify Rugged Landscapes Exploration","authors":"Gloria Pietropolli, Giuliamaria Menara, M. Castelli","doi":"10.28991/esj-2023-07-04-01","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-01","url":null,"abstract":"Some optimization problems are difficult to solve due to a considerable number of local optima, which may result in premature convergence of the optimization process. To address this problem, we propose a novel heuristic method for constructing a smooth surrogate model of the original function. The surrogate function is easier to optimize but maintains a fundamental property of the original rugged fitness landscape: the location of the global optimum. To create such a surrogate model, we consider a linear genetic programming approach coupled with a self-tuning fitness function. More specifically, to evaluate the fitness of the produced surrogate functions, we employ Fuzzy Self-Tuning Particle Swarm Optimization, a setting-free version of particle swarm optimization. To assess the performance of the proposed method, we considered a set of benchmark functions characterized by high noise and ruggedness. Moreover, the method is evaluated over different problems’ dimensionalities. The proposed approach reveals its suitability for performing the proposed task. In particular, experimental results confirm its capability to find the global argminimum for all the considered benchmark problems and all the domain dimensions taken into account, thus providing an innovative and promising strategy for dealing with challenging optimization problems. Doi: 10.28991/ESJ-2023-07-04-01 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69322275","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-2023-07-04-019
K. Bocková, Slávka Čepelová
The paper deals with the issue of personality in the context of the professions of an elite tennis player and a project manager. The objective of the conducted research is to find a set of personality characteristics typical for tennis and project management and to find out which personality characteristics of the analyzed professions are similar, or different. To confirm the hypothesis H: "The personality characteristics of an elite tennis player correspond to the demands of his profession, just as the personality characteristics of a project manager correspond to the demands of his profession, and there is demonstrably a correlation in the personality characteristics of elite tennis players and project managers, which corresponds to a correlation in the demands of these two professions," we will use the Cattell's 16 Personality Factor Test, the Spearman correlation analysis, the evaluation of the relevant test indicators difference in statistical significance using the Student t-test, and the comparative analysis. A comparison of the demands of the analyzed professions on a person and a comparison of the personality characteristics of the elite tennis players and the project managers results in the conclusion that the personalities of an elite tennis player and a project manager are somewhat similar, as well as a striking difference between them in the emotional area. The hypothesis was confirmed. An elite tennis player can be a good project manager. Doi: 10.28991/ESJ-2023-07-04-019 Full Text: PDF
{"title":"Exploring Personality Traits in Elite Sport Players and Associate with a Good Project Managers","authors":"K. Bocková, Slávka Čepelová","doi":"10.28991/esj-2023-07-04-019","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-019","url":null,"abstract":"The paper deals with the issue of personality in the context of the professions of an elite tennis player and a project manager. The objective of the conducted research is to find a set of personality characteristics typical for tennis and project management and to find out which personality characteristics of the analyzed professions are similar, or different. To confirm the hypothesis H: \"The personality characteristics of an elite tennis player correspond to the demands of his profession, just as the personality characteristics of a project manager correspond to the demands of his profession, and there is demonstrably a correlation in the personality characteristics of elite tennis players and project managers, which corresponds to a correlation in the demands of these two professions,\" we will use the Cattell's 16 Personality Factor Test, the Spearman correlation analysis, the evaluation of the relevant test indicators difference in statistical significance using the Student t-test, and the comparative analysis. A comparison of the demands of the analyzed professions on a person and a comparison of the personality characteristics of the elite tennis players and the project managers results in the conclusion that the personalities of an elite tennis player and a project manager are somewhat similar, as well as a striking difference between them in the emotional area. The hypothesis was confirmed. An elite tennis player can be a good project manager. Doi: 10.28991/ESJ-2023-07-04-019 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44836655","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-2023-07-04-014
Tanaporn Hongsuchon, U. Rahardja, Asif Khan, Tsung-Hao Wu, Chung-Wen Hung, Ruey-Hsing Chang, Chung-Hao Hsu, Shih‐Chih Chen
Value co-creation profoundly affects brand experience, human interaction rules, and customer behavior performance and is a recurring theme in research in the field of virtual brand communities. Studies have determined an influence model for value co-creation, but there is a dearth of research on the impacts of value co-creation activities on brand attachment. This study built a mediation theoretical research framework on value co-creation theory, brand experience, and brand attachment. The purpose of this study is to explore the significance of value co-creation activities on brand experience. Furthermore, this study intends to measure the impact of brand experience on brand attachment. Additionally, this study intends to investigate the mediation role of brand experience in the relationship between value co-creation and brand attachment. This study analyzed 512 data collected by structural equation modeling using registered users of the OPPO community as participants. The results of this empirical test show that the three dimensions of value co-creation (interpersonal interaction, feedback, and advocacy) have a positive effect on brand experience and that brand experience has a positive and significant impact on brand attachment and mediates the relationship between value co-creation and brand attachment. The findings of significance for management are the identification of factors that enhance value co-creation in virtual brand communities. Doi: 10.28991/ESJ-2023-07-04-014 Full Text: PDF
{"title":"Brand Experience on Brand Attachment: The Role of Interpersonal Interaction, Feedback, and Advocacy","authors":"Tanaporn Hongsuchon, U. Rahardja, Asif Khan, Tsung-Hao Wu, Chung-Wen Hung, Ruey-Hsing Chang, Chung-Hao Hsu, Shih‐Chih Chen","doi":"10.28991/esj-2023-07-04-014","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-014","url":null,"abstract":"Value co-creation profoundly affects brand experience, human interaction rules, and customer behavior performance and is a recurring theme in research in the field of virtual brand communities. Studies have determined an influence model for value co-creation, but there is a dearth of research on the impacts of value co-creation activities on brand attachment. This study built a mediation theoretical research framework on value co-creation theory, brand experience, and brand attachment. The purpose of this study is to explore the significance of value co-creation activities on brand experience. Furthermore, this study intends to measure the impact of brand experience on brand attachment. Additionally, this study intends to investigate the mediation role of brand experience in the relationship between value co-creation and brand attachment. This study analyzed 512 data collected by structural equation modeling using registered users of the OPPO community as participants. The results of this empirical test show that the three dimensions of value co-creation (interpersonal interaction, feedback, and advocacy) have a positive effect on brand experience and that brand experience has a positive and significant impact on brand attachment and mediates the relationship between value co-creation and brand attachment. The findings of significance for management are the identification of factors that enhance value co-creation in virtual brand communities. Doi: 10.28991/ESJ-2023-07-04-014 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48946403","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-2023-07-04-011
D. Saputra, F. Gaol, E. Abdurachman, D. I. Sensuse, T. Matsuo
Monitoring the movement of boats in shallow waters requires a real-time monitoring system. However, for small-size wooden boats, they are still monitored manually, and data is unavailable in real time, which makes it difficult to effectively monitor them. The integration of IoT platforms with the boat monitoring system is a challenging task, especially in the transport system. This paper has the objective of developing an architectural model of a modified LoRaWAN-based boat monitoring system that is connected to a GPS-based mobile device and base station. The proposed architectural model is an integration of Bluetooth Low Energy (BLE) and LoRaWAN networks, which are also tested in real time to solve the boat traffic monitoring issues. The field tests with parameters of signal transmission, location coordinates, and position of the boats are also presented. The analysis result shows the proposed model is suitable for waters with high noise levels, especially in shallow water and delta rivers. The signal noise can be reduced by extracting the real-time data. In addition, signal interference can be minimized. The performance of this system is also compared to the reference system in real conditions, which shows an adequate correlation result. This proof of concept forms an important basis for deploying it for large-scale applications and commercialization capabilities. Doi: 10.28991/ESJ-2023-07-04-011 Full Text: PDF
{"title":"Architectural Model and Modified Long Range Wide Area Network (LoRaWAN) for Boat Traffic Monitoring and Transport Detection Systems in Shallow Waters","authors":"D. Saputra, F. Gaol, E. Abdurachman, D. I. Sensuse, T. Matsuo","doi":"10.28991/esj-2023-07-04-011","DOIUrl":"https://doi.org/10.28991/esj-2023-07-04-011","url":null,"abstract":"Monitoring the movement of boats in shallow waters requires a real-time monitoring system. However, for small-size wooden boats, they are still monitored manually, and data is unavailable in real time, which makes it difficult to effectively monitor them. The integration of IoT platforms with the boat monitoring system is a challenging task, especially in the transport system. This paper has the objective of developing an architectural model of a modified LoRaWAN-based boat monitoring system that is connected to a GPS-based mobile device and base station. The proposed architectural model is an integration of Bluetooth Low Energy (BLE) and LoRaWAN networks, which are also tested in real time to solve the boat traffic monitoring issues. The field tests with parameters of signal transmission, location coordinates, and position of the boats are also presented. The analysis result shows the proposed model is suitable for waters with high noise levels, especially in shallow water and delta rivers. The signal noise can be reduced by extracting the real-time data. In addition, signal interference can be minimized. The performance of this system is also compared to the reference system in real conditions, which shows an adequate correlation result. This proof of concept forms an important basis for deploying it for large-scale applications and commercialization capabilities. Doi: 10.28991/ESJ-2023-07-04-011 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45622740","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-2023-07-04-017
Samer A. Abdel Hadi, Mahmoud Gharaibeh
University faculty members seek to regulate emotions to achieve professional and social goals in the work environment. The process of emotion regulation is influenced by self-awareness, as self-awareness is an important predictor of self-regulation, and the outcomes of the self-regulation process depend, in part, on the level of self-awareness. The purpose of the present paper was to examine whether or not self-awareness is used to predict emotional regulation difficulties among faculty members. The current quantitative study was designed using a survey research design. The participants comprised 172 faculty members from Philadelphia University in Jordan, the Arab Open University in Jordan, and Al Falah University in the U.A.E. Data were collected using the Self-Awareness Scale (SAS) and Emotional Regulation Difficulties Scale (ERDS). The researchers revealed that increasing the self-awareness subscale (self-critical) decreases the non-acceptance of emotional responses. The researchers also found that when there is an increase in the self-awareness subscale (desire for realistic awareness), there is a tendency toward lower levels of non-acceptance of emotional responses and difficulties engaging in goal-directed. Researchers also came to that an increase in the self-awareness subscale (self-reflection) decreases the non-acceptance of emotional responses, difficulties engaging in goal-directed and impulse control difficulties. The researchers concluded there is a need to work on university faculties' self-awareness and emotional regulation to balance realistic awareness and emotional responses related to task engagement and control difficulties. Based on the findings, it is concluded that it is necessary to pay attention to enhancing self-awareness and emotion regulation among faculty members in general and conduct more scientific studies on emotional regulation difficulties to examine their relationship with other variables. Doi: 10.28991/ESJ-2023-07-04-017 Full Text: PDF
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Pub Date : 2023-07-12DOI: 10.28991/esj-2023-07-04-012
D. Firsov, S. Silvestrov, N. Kuznetsov, Evgeny V. Zolotarev, S. A. Pobyvaev
This paper identifies hidden patterns between trading volumes and the market value of an asset. Based on open market data, we try to improve the existing corpus of research using new, innovative neural network training methods. Dividing into two independent models, we conducted a comparative analysis between two methods of training Proximal Policy Optimization (PPO) models. The primary difference between the two PPO models is the data. To showcase the drastic differences the PPO model makes in market conditions, one model uses historical data from Binance trading history as a data sample and the trading pair BNB/USDT as a predicted asset. Another model, apart from purely price fluctuations, also draws data on trading volume. That way, we can clearly illustrate what the difference can be if we add additional markers for model training. Using PPO models, the authors conduct a comparative analysis of prediction accuracy, taking the sequence of BNB token values and trading volumes on 15-minute candles as variables. The main research question of this paper is to identify an increase in the accuracy of the PPO model when adding additional variables. The primary research gap that we explore is whether PPO models specifically trained on highly volatile assets can be improved by adding additional markers that are closely linked. In our study, we identified the closest marker, which is a trading volume. The study results show that including additional parameters in the form of trading volume significantly reduces the model's accuracy. The scientific contribution of this research is that it shows in practice that the PPO model does not require additional parameters to form accurately predicting models within the framework of market forecasting. Doi: 10.28991/ESJ-2023-07-04-012 Full Text: PDF
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