Pub Date : 2021-07-16DOI: 10.37394/23205.2021.20.12
V. Winter, Hubert Hickman, I. Winter
Technology is playing an increasingly prominent role in all human endeavors, including education. Tech enables the realization of educational environments that are adaptive, interactive, and immersive. Such environments are well-suited for appropriately engaging student populations comprised of digital natives. Bricklayer is an educational ecosystem whose focus is on the development of visuospatial, mathematical, and computational abilities foundational to computer science. This article gives an updated report on the core (Ed)Tech elements comprising the Bricklayer educational ecosystem.
{"title":"A Bricklayer-Tech Report","authors":"V. Winter, Hubert Hickman, I. Winter","doi":"10.37394/23205.2021.20.12","DOIUrl":"https://doi.org/10.37394/23205.2021.20.12","url":null,"abstract":"Technology is playing an increasingly prominent role in all human endeavors, including education. Tech enables the realization of educational environments that are adaptive, interactive, and immersive. Such environments are well-suited for appropriately engaging student populations comprised of digital natives. Bricklayer is an educational ecosystem whose focus is on the development of visuospatial, mathematical, and computational abilities foundational to computer science. This article gives an updated report on the core (Ed)Tech elements comprising the Bricklayer educational ecosystem.","PeriodicalId":332148,"journal":{"name":"WSEAS TRANSACTIONS ON COMPUTERS","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127095412","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 : 2021-04-26DOI: 10.37394/23205.2021.20.5
Bentolhoda Abdollahbeigi, F. Salehi
The paper aims to clarify the relationship between Information technology governance initiatives on effective information technology governance (ITG) and organizational performance. A quantitative study through a questionnaire survey has done for this research. Data was obtained from seven states in Malaysia, within the manufacturing sector. Structural equation modelling (SEM) was used in this study to analyze the measurement and structural models simultaneously to test the role effect of ITG between information technology governance initiatives and organizational performance. The paper provides empirical insights about the relations between information technology governance initiative and the efficacy of ITG and organizational performance. The results and findings of the research can have beneficial to supporting manufacturing organizations in their efforts towards carrying out improvement activities.
{"title":"A Study of Information Technology Governance Initiatives On Organizational Performance","authors":"Bentolhoda Abdollahbeigi, F. Salehi","doi":"10.37394/23205.2021.20.5","DOIUrl":"https://doi.org/10.37394/23205.2021.20.5","url":null,"abstract":"The paper aims to clarify the relationship between Information technology governance initiatives on effective information technology governance (ITG) and organizational performance. A quantitative study through a questionnaire survey has done for this research. Data was obtained from seven states in Malaysia, within the manufacturing sector. Structural equation modelling (SEM) was used in this study to analyze the measurement and structural models simultaneously to test the role effect of ITG between information technology governance initiatives and organizational performance. The paper provides empirical insights about the relations between information technology governance initiative and the efficacy of ITG and organizational performance. The results and findings of the research can have beneficial to supporting manufacturing organizations in their efforts towards carrying out improvement activities.","PeriodicalId":332148,"journal":{"name":"WSEAS TRANSACTIONS ON COMPUTERS","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130223508","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 : 2021-01-29DOI: 10.37394/23205.2020.19.31
Andreatos Antonios, Nikolaos Chatzipantou
The objective of this paper is to present an advanceduse of Nagios on Raspberry Pi to monitor a network. RaspberryPi is a tiny, low-cost yet powerful computer board with manyapplications. Network monitoring systems constantly monitor acomputer network for malfunctions and failures of servers andnotifies the network administrator in case of trouble. In ourcase, the free version of Nagios installed on a Raspberry Pi hasbeen used to monitor a network at minimal cost. Furthermore,two bash scripts automating the complex process of Nagiosinstallation on Raspberry Pi, as well as Linux host have beendeveloped. In order to elevate the security level of Networkmonitoring we have proposed a triple set of Raspberry Pi Nagiosservers, each one monitoring hosts and servers including theother two Nagios servers (triple modular redundancy). Finally,custom scripts providing useful information about monitoredhosts, such as their operating system, hardware and networking,as well as a special script examining and rating the security levelof Apache web servers, have been developed and incorporatedinto the network monitoring process.
{"title":"Using Nagios on a Raspberry Pi to Monitor Anetwork with Emphasis on Security","authors":"Andreatos Antonios, Nikolaos Chatzipantou","doi":"10.37394/23205.2020.19.31","DOIUrl":"https://doi.org/10.37394/23205.2020.19.31","url":null,"abstract":"The objective of this paper is to present an advanceduse of Nagios on Raspberry Pi to monitor a network. RaspberryPi is a tiny, low-cost yet powerful computer board with manyapplications. Network monitoring systems constantly monitor acomputer network for malfunctions and failures of servers andnotifies the network administrator in case of trouble. In ourcase, the free version of Nagios installed on a Raspberry Pi hasbeen used to monitor a network at minimal cost. Furthermore,two bash scripts automating the complex process of Nagiosinstallation on Raspberry Pi, as well as Linux host have beendeveloped. In order to elevate the security level of Networkmonitoring we have proposed a triple set of Raspberry Pi Nagiosservers, each one monitoring hosts and servers including theother two Nagios servers (triple modular redundancy). Finally,custom scripts providing useful information about monitoredhosts, such as their operating system, hardware and networking,as well as a special script examining and rating the security levelof Apache web servers, have been developed and incorporatedinto the network monitoring process.","PeriodicalId":332148,"journal":{"name":"WSEAS TRANSACTIONS ON COMPUTERS","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132325547","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 : 2021-01-29DOI: 10.37394/23205.2020.19.33
Naitik M. Nakrani, M. Joshi
Autonomous vehicle parking and obstacle avoidance navigation have drawn increased attention in recent times for autonomous vehicle-related solutions. Existing autonomous vehicle parking algorithms generally fail to mimic the human-like tendency to adapt naturally, and most of these designs are practically fixed. They do not preserve adaptive nature with machine dynamics, especially vehicles related. In this paper, a novel fuzzy-based adaptive dimension parking algorithm (FADPA) is proposed that integrates obstacle avoidance capabilities to a standalone parking controller that is made adaptive to vehicle dimensions in order to provide human-like intelligence for parking problems. This algorithm adopts fuzzy membership thresholds with respect to vehicle dimensions to enhance the vehicle's path during parking with taking care of obstacles. It is generalized for all segments of cars, and different simulation results are presented to show the effectiveness of the proposed algorithm.
{"title":"Fuzzy Based Adaptive Dimension Parking Algorithm Including Obstacle Avoidance for Autonomous Vehicle Parking","authors":"Naitik M. Nakrani, M. Joshi","doi":"10.37394/23205.2020.19.33","DOIUrl":"https://doi.org/10.37394/23205.2020.19.33","url":null,"abstract":"Autonomous vehicle parking and obstacle avoidance navigation have drawn increased attention in recent times for autonomous vehicle-related solutions. Existing autonomous vehicle parking algorithms generally fail to mimic the human-like tendency to adapt naturally, and most of these designs are practically fixed. They do not preserve adaptive nature with machine dynamics, especially vehicles related. In this paper, a novel fuzzy-based adaptive dimension parking algorithm (FADPA) is proposed that integrates obstacle avoidance capabilities to a standalone parking controller that is made adaptive to vehicle dimensions in order to provide human-like intelligence for parking problems. This algorithm adopts fuzzy membership thresholds with respect to vehicle dimensions to enhance the vehicle's path during parking with taking care of obstacles. It is generalized for all segments of cars, and different simulation results are presented to show the effectiveness of the proposed algorithm.","PeriodicalId":332148,"journal":{"name":"WSEAS TRANSACTIONS ON COMPUTERS","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129479156","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 : 2021-01-29DOI: 10.37394/23205.2020.19.32
Wael Hosny Fouad Aly
Software defined networking (SDN) separates the control and the data planes. This separation brings flexibility to the network. But the decoupling has some drawbacks such as the controller placement problem (CPP). Controller placement is a crucial task which affects the overall networks’ performance. This paper proposes a novel controller placement model that is based on petri-nets to place the SDN’s controllers. The proposed model is called controller placement using petri-nets for SDNs (CPPNSDN). CPPNSDN aims to reduce the average propagation latency among switches and their associated controllers. CPPNSDN divides the network into sub-networks. Each sub-network is governed by a controller. Experiments were conducted on the Internet2/OS3E topology to evaluate the performance of CPPNSDN. Experiments show that CPPNSDN reduces the average latency significantly compared to two reference models. The first reference model is the Modified Density Peaks Clustering (MDPC) and the Optimized Kmeans model. In terms of the overall average latency, the CPPNSDN has shown promising results as it outperformed the MDPC and optimized Kmeans reference models by 7% and 17% respectively. Confidence Interval (CI) used was 90%. This is an ongoing work and the results are promising for more future investigation.
{"title":"A Novel Controller Placement Using Petri-Nets for SDNs","authors":"Wael Hosny Fouad Aly","doi":"10.37394/23205.2020.19.32","DOIUrl":"https://doi.org/10.37394/23205.2020.19.32","url":null,"abstract":"Software defined networking (SDN) separates the control and the data planes. This separation brings flexibility to the network. But the decoupling has some drawbacks such as the controller placement problem (CPP). Controller placement is a crucial task which affects the overall networks’ performance. This paper proposes a novel controller placement model that is based on petri-nets to place the SDN’s controllers. The proposed model is called controller placement using petri-nets for SDNs (CPPNSDN). CPPNSDN aims to reduce the average propagation latency among switches and their associated controllers. CPPNSDN divides the network into sub-networks. Each sub-network is governed by a controller. Experiments were conducted on the Internet2/OS3E topology to evaluate the performance of CPPNSDN. Experiments show that CPPNSDN reduces the average latency significantly compared to two reference models. The first reference model is the Modified Density Peaks Clustering (MDPC) and the Optimized Kmeans model. In terms of the overall average latency, the CPPNSDN has shown promising results as it outperformed the MDPC and optimized Kmeans reference models by 7% and 17% respectively. Confidence Interval (CI) used was 90%. This is an ongoing work and the results are promising for more future investigation.","PeriodicalId":332148,"journal":{"name":"WSEAS TRANSACTIONS ON COMPUTERS","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125290494","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 : 2021-01-29DOI: 10.37394/23205.2020.19.34
Meera Sharma, Sonok Mahapatra, Adeethyia Shankar, Xiaodi Wang
— In 2017, about 792 million people (more than 10% of the global population) lived their lives with a mental disorder [24]– 78 million of which committed suicide because of it. In these unprecedented times of COVID-19, mental health challenges have been even further exacerbated as home environments have been proven to be major sources of the creation and worsening of poor mental health. Additionally, proper diagnosis and treatment for people with mental health disorders remains underdeveloped in modern-day’s society due to the widely ever-present public stigma attached to caring about mental health. Recently there have been attempts in the data science world to predict if a person is suicidal (and other diagnostic approaches) yet all face major setbacks. To begin, big data has many ethical issues related to privacy and reusability without permission—especially in regards to using feeds from social media. Additionally, people diagnosed with specific mental health conditions may not actually seek treatment, so data may be incorrect. In this research, we address both of these problems by using anonymous datasets to predict the answer to a different question—whether or not people are seeking mental health treatment. We also use a large variety of machine learning and deep learning classifiers and predictive models to predict with a high accuracy rate through statistical analysis.
{"title":"Predicting the Utilization of Mental Health Treatment with Various Machine Learning Algorithms","authors":"Meera Sharma, Sonok Mahapatra, Adeethyia Shankar, Xiaodi Wang","doi":"10.37394/23205.2020.19.34","DOIUrl":"https://doi.org/10.37394/23205.2020.19.34","url":null,"abstract":"— In 2017, about 792 million people (more than 10% of the global population) lived their lives with a mental disorder [24]– 78 million of which committed suicide because of it. In these unprecedented times of COVID-19, mental health challenges have been even further exacerbated as home environments have been proven to be major sources of the creation and worsening of poor mental health. Additionally, proper diagnosis and treatment for people with mental health disorders remains underdeveloped in modern-day’s society due to the widely ever-present public stigma attached to caring about mental health. Recently there have been attempts in the data science world to predict if a person is suicidal (and other diagnostic approaches) yet all face major setbacks. To begin, big data has many ethical issues related to privacy and reusability without permission—especially in regards to using feeds from social media. Additionally, people diagnosed with specific mental health conditions may not actually seek treatment, so data may be incorrect. In this research, we address both of these problems by using anonymous datasets to predict the answer to a different question—whether or not people are seeking mental health treatment. We also use a large variety of machine learning and deep learning classifiers and predictive models to predict with a high accuracy rate through statistical analysis.","PeriodicalId":332148,"journal":{"name":"WSEAS TRANSACTIONS ON COMPUTERS","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123041508","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 : 2021-01-29DOI: 10.37394/23205.2020.19.35
Flavius Guias
We consider a compartmental model of SEIIRDtype which describes the time evolution of the COVID-19 epidemy at the level of a country. For the reproduction number R(t), the crucial parameter which influences the number of new cases, we consider an explicit form as a combination of trigonometric, exponential and gaussian functions. The coefficients of the individual parts can be adapted in order that the profile of R(t) matches different scenarios. Their common structure illustrates the real behaviour observed in most countries. Initially we can observe large values of R(t) which enforce the first wave of the epidemy, followed by a rapid reduction below 1 due to a first lockdown which can have different intensities. The second phase consists of a relaxation of the restrictions having as a consequence an increase of the reproduction number within a range over 1. The numerical simulations show that in this case, after a period of some months with a low level of daily cases, the occurrence of a second wave is unavoidable, being inherent to the nature of the model. The intensity of the second wave depends on how much and how long the reproduction number R(t) has been over the threshold value of 1, but also on the intensity of the first lockdown. All simulations show that the behaviour of the model is very sensitive with respect to the reproduction number. Small changes in its values may have a significant impact on the long-term evolution of the epidemy at the country-level.
{"title":"Effects of the Reproduction Number in a Seiird Model Describing the Time Evolution of COVID-19 at Count Ry Level","authors":"Flavius Guias","doi":"10.37394/23205.2020.19.35","DOIUrl":"https://doi.org/10.37394/23205.2020.19.35","url":null,"abstract":"We consider a compartmental model of SEIIRDtype which describes the time evolution of the COVID-19 epidemy at the level of a country. For the reproduction number R(t), the crucial parameter which influences the number of new cases, we consider an explicit form as a combination of trigonometric, exponential and gaussian functions. The coefficients of the individual parts can be adapted in order that the profile of R(t) matches different scenarios. Their common structure illustrates the real behaviour observed in most countries. Initially we can observe large values of R(t) which enforce the first wave of the epidemy, followed by a rapid reduction below 1 due to a first lockdown which can have different intensities. The second phase consists of a relaxation of the restrictions having as a consequence an increase of the reproduction number within a range over 1. The numerical simulations show that in this case, after a period of some months with a low level of daily cases, the occurrence of a second wave is unavoidable, being inherent to the nature of the model. The intensity of the second wave depends on how much and how long the reproduction number R(t) has been over the threshold value of 1, but also on the intensity of the first lockdown. All simulations show that the behaviour of the model is very sensitive with respect to the reproduction number. Small changes in its values may have a significant impact on the long-term evolution of the epidemy at the country-level.","PeriodicalId":332148,"journal":{"name":"WSEAS TRANSACTIONS ON COMPUTERS","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133902115","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 : 2021-01-14DOI: 10.37394/23205.2020.19.30
Clare Chua, N. Ruzgar
Covid-19 affects our lifestyles dramatically. It also affects the education styles. Spurred by the Covid19 pandemic, most of the learning in a traditional classroom setting were transferred to online format. This study was designed to assess the students’ perception on the traditional and online learning before Covid-19 pandemic and in transition to the Covid pandemic when all classroom learning is closed and transferred to online based learning. Students were sampled to obtain their general perceptions regarding traditional and online learning. The data were collected via an online survey during October/November 2019 and March/April 2020. Findings indicate that the perceptions of students changed negatively in transition period. A large majority of students agreed before Covid-19, but they disagreed in transition period on the following: online education increases learning levels; students learn more with online courses; zoom is much better than learning in the classroom environment; online courses are easier than traditional courses; I would recommend taking online courses instead of in class courses to a friend or colleague; and I would like to take my other courses in online form. The results show that a sudden change to the system will negatively impact the students and it did not allow time for students to adjust to the change. They are simply not ready to take all the courses online. However, students all agreed the use of technology in classroom increases their engagement and interest in the subject matter
{"title":"Perceptions of Business Students toward Online Education before and in Transition Period of COVID-19","authors":"Clare Chua, N. Ruzgar","doi":"10.37394/23205.2020.19.30","DOIUrl":"https://doi.org/10.37394/23205.2020.19.30","url":null,"abstract":"Covid-19 affects our lifestyles dramatically. It also affects the education styles. Spurred by the Covid19 pandemic, most of the learning in a traditional classroom setting were transferred to online format. This study was designed to assess the students’ perception on the traditional and online learning before Covid-19 pandemic and in transition to the Covid pandemic when all classroom learning is closed and transferred to online based learning. Students were sampled to obtain their general perceptions regarding traditional and online learning. The data were collected via an online survey during October/November 2019 and March/April 2020. Findings indicate that the perceptions of students changed negatively in transition period. A large majority of students agreed before Covid-19, but they disagreed in transition period on the following: online education increases learning levels; students learn more with online courses; zoom is much better than learning in the classroom environment; online courses are easier than traditional courses; I would recommend taking online courses instead of in class courses to a friend or colleague; and I would like to take my other courses in online form. The results show that a sudden change to the system will negatively impact the students and it did not allow time for students to adjust to the change. They are simply not ready to take all the courses online. However, students all agreed the use of technology in classroom increases their engagement and interest in the subject matter","PeriodicalId":332148,"journal":{"name":"WSEAS TRANSACTIONS ON COMPUTERS","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125898119","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 : 2020-12-29DOI: 10.37394/23205.2020.19.28
Farhad Khosrojerdi, Stephane Gagnon, Raul Valverde, J. Molson
In a photovoltaic (PV) control system, the application of a maximum power point tracking (MPPT) method is the key factor that enables PV modules to operate efficiently under shading conditions. However, dealing with technical parameters of the MPPT-based controller requires expertise’s knowledge about MPPT methods. PV planning tools overlook to provide system design parameters needed for the control system. Ontologies, as knowledge-based models, provide improved representation, sharing and re-use of the relevant information that facilitate the process of decision-making. In this work, we propose a knowledge-based model representing key concepts associated with an MPPT-based control device. The ontology model is featured with Semantic Web Rule Language (SWRL) allowing the system planner to extract information about MPPT classifications and select an appropriate MPPT method. Moreover, technical recommendations and design information needed for the control system is delivered as well. Using the proposed ontology helps nontechnical practitioners and end-users to define design-related parameters correctly and plan efficient PV systems.
在光伏(PV)控制系统中，最大功率点跟踪(MPPT)方法的应用是光伏组件在遮阳条件下高效运行的关键因素。然而，处理基于MPPT的控制器的技术参数需要专业的MPPT方法知识。光伏规划工具忽略了提供控制系统所需的系统设计参数。本体作为基于知识的模型，提供了改进的表示、共享和重用相关信息，从而促进了决策过程。在这项工作中，我们提出了一个基于知识的模型，表示与基于mppt的控制设备相关的关键概念。本体模型具有语义Web规则语言(Semantic Web Rule Language, SWRL)的特点，允许系统规划者提取关于MPPT分类的信息，并选择合适的MPPT方法。此外，还提供了控制系统所需的技术建议和设计信息。使用提出的本体可以帮助非技术从业者和最终用户正确定义与设计相关的参数，并规划有效的光伏系统。
{"title":"Proposing a Knowledge-based Model for Photovoltaic Modules Operating under Shading Conditions","authors":"Farhad Khosrojerdi, Stephane Gagnon, Raul Valverde, J. Molson","doi":"10.37394/23205.2020.19.28","DOIUrl":"https://doi.org/10.37394/23205.2020.19.28","url":null,"abstract":"In a photovoltaic (PV) control system, the application of a maximum power point tracking (MPPT) method is the key factor that enables PV modules to operate efficiently under shading conditions. However, dealing with technical parameters of the MPPT-based controller requires expertise’s knowledge about MPPT methods. PV planning tools overlook to provide system design parameters needed for the control system. Ontologies, as knowledge-based models, provide improved representation, sharing and re-use of the relevant information that facilitate the process of decision-making. In this work, we propose a knowledge-based model representing key concepts associated with an MPPT-based control device. The ontology model is featured with Semantic Web Rule Language (SWRL) allowing the system planner to extract information about MPPT classifications and select an appropriate MPPT method. Moreover, technical recommendations and design information needed for the control system is delivered as well. Using the proposed ontology helps nontechnical practitioners and end-users to define design-related parameters correctly and plan efficient PV systems.","PeriodicalId":332148,"journal":{"name":"WSEAS TRANSACTIONS ON COMPUTERS","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125389591","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 : 2020-12-23DOI: 10.37394/23205.2020.19.26
A. Trad
This article proposes a cross domain Applied Holistic Mathematical Model (AHMM) that is the result of a lifetime long research on various types of transformations, applied mathematics, software modelling, heuristic brain-like algorithms, business engineering, financial analysis and global system architecture. This ultimate research is based on an authentic and proprietary mixed research method that is supported by an underlining mainly qualitative holistic neural networks algorithms [1]. The proposed HMM formalism attempts to mimic and simulate some functions of the human brain, which uses empirical processes that are mainly based on the beam-search, like heuristic decision-making process that uses a persistence concept.
{"title":"The Business Transformation and Enterprise Architecture Framework The Applied Holistic Mathematical Model’s Persistence Concept (AHMMPC)","authors":"A. Trad","doi":"10.37394/23205.2020.19.26","DOIUrl":"https://doi.org/10.37394/23205.2020.19.26","url":null,"abstract":"This article proposes a cross domain Applied Holistic Mathematical Model (AHMM) that is the result of a lifetime long research on various types of transformations, applied mathematics, software modelling, heuristic brain-like algorithms, business engineering, financial analysis and global system architecture. This ultimate research is based on an authentic and proprietary mixed research method that is supported by an underlining mainly qualitative holistic neural networks algorithms [1]. The proposed HMM formalism attempts to mimic and simulate some functions of the human brain, which uses empirical processes that are mainly based on the beam-search, like heuristic decision-making process that uses a persistence concept.","PeriodicalId":332148,"journal":{"name":"WSEAS TRANSACTIONS ON COMPUTERS","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130485096","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}
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