Pub Date : 2020-07-15DOI: 10.1109/IISA50023.2020.9284382
Jazmine Mae Recario, Geoffrey A. Solano, Angelyn R. Lao
PlaPhy-SMD is a simple web application with a database management system that allows users to contribute data and provides them visualizations of the associations among plants, small-molecule drugs, human conditions and human genes in the form of tables and graphs. It aims to be of help in the field of phytomedicine since it does not only show researchers different natural sources for the development of new drugs and drug ingredients, but it also associates the natural sources, which are the plants, to the conditions and genes associated to the SMDs, which can be used as ingredients in developing new medicinal drugs, found in them. Also, it could serve as a pre-processing tool in evaluating the characteristics and application prospect of natural medicine. In addition to that, this is essential in discovering natural alternatives for synthetic medicine, since natural products are safer to use than the artificial ones.
{"title":"PlaPhy-SMD: A Database System of Plants and their Phytochemicals Integrated with Small-Molecule Drugs and their Condition and Gene Associations with Clustering and Product Ingredient Matching","authors":"Jazmine Mae Recario, Geoffrey A. Solano, Angelyn R. Lao","doi":"10.1109/IISA50023.2020.9284382","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284382","url":null,"abstract":"PlaPhy-SMD is a simple web application with a database management system that allows users to contribute data and provides them visualizations of the associations among plants, small-molecule drugs, human conditions and human genes in the form of tables and graphs. It aims to be of help in the field of phytomedicine since it does not only show researchers different natural sources for the development of new drugs and drug ingredients, but it also associates the natural sources, which are the plants, to the conditions and genes associated to the SMDs, which can be used as ingredients in developing new medicinal drugs, found in them. Also, it could serve as a pre-processing tool in evaluating the characteristics and application prospect of natural medicine. In addition to that, this is essential in discovering natural alternatives for synthetic medicine, since natural products are safer to use than the artificial ones.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132042823","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284355
Stavroula Tzima, Georgios D. Styliaras, Athanasios Bassounas
New technologies have changed the way we live, work, have fun and mobile phones are now one of the essential tools of work, communication and entertainment. Augmented Reality technology and the rapid spreading of mobile devices in everyday life are shaping new conditions in the culture field as well. Many studies focus on key questions of usability and technical issues without going into further analysis. In order to understand users/visitors needs and expectations as well as the role of technology in depth, the current study will try to answer an important question "what does impress users more, technology or content?". It is an important and a difficult question to be answered due to the diverse user’s profiles, the AR applications and sometimes the indistinct boundaries between the concepts of “like” and “impress”. The current research incorporates an AR app of cultural routes that could be found in every city/site and includes participants representing all ages and the associated categories (technology, theme, general) in order to approach the question in a balanced way. A qualitative research and results showed that more than the half select “both technology and content”, fewer users select only “content” and even less select only “technology”. Therefore, the AR technology continues to have a positive effect on users, content plays a significant key role but the way content and technology are combined emerges as the most important factor. Also, it is highlighted, that as users become more familiar with technology, they are becoming more demanding and more selective in using technology, making the creation of an AR app and generally the technology use more difficult to cover their increasing needs. In addition to, users’ view on the use of technology should not be ignored in order to avoid a negative attitude towards technology and more emphasis should be given on content and on applications that really have something innovative to add both to users and to cultural assets value.
{"title":"Augmented Reality applications in Cultural Heritage: Technology or Content?","authors":"Stavroula Tzima, Georgios D. Styliaras, Athanasios Bassounas","doi":"10.1109/IISA50023.2020.9284355","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284355","url":null,"abstract":"New technologies have changed the way we live, work, have fun and mobile phones are now one of the essential tools of work, communication and entertainment. Augmented Reality technology and the rapid spreading of mobile devices in everyday life are shaping new conditions in the culture field as well. Many studies focus on key questions of usability and technical issues without going into further analysis. In order to understand users/visitors needs and expectations as well as the role of technology in depth, the current study will try to answer an important question \"what does impress users more, technology or content?\". It is an important and a difficult question to be answered due to the diverse user’s profiles, the AR applications and sometimes the indistinct boundaries between the concepts of “like” and “impress”. The current research incorporates an AR app of cultural routes that could be found in every city/site and includes participants representing all ages and the associated categories (technology, theme, general) in order to approach the question in a balanced way. A qualitative research and results showed that more than the half select “both technology and content”, fewer users select only “content” and even less select only “technology”. Therefore, the AR technology continues to have a positive effect on users, content plays a significant key role but the way content and technology are combined emerges as the most important factor. Also, it is highlighted, that as users become more familiar with technology, they are becoming more demanding and more selective in using technology, making the creation of an AR app and generally the technology use more difficult to cover their increasing needs. In addition to, users’ view on the use of technology should not be ignored in order to avoid a negative attitude towards technology and more emphasis should be given on content and on applications that really have something innovative to add both to users and to cultural assets value.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130395499","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284414
Eleni Alogogianni, M. Virvou
Undeclared work is, by definition, a multi-faceted phenomenon that needs to be detected. In welfare states, undeclared work results in loss of public revenue and thus resources critical for welfare mechanisms’ funding, lack of worker protection and, last but not least, unfair competition for legitimate businesses. Yet, little to no studies have proposed the use of sophisticated machine learning methods in tackling this severe socioeconomic problem. In this study, we demonstrate the application of an advanced data analysis method, the association rule mining, which has significant advantages over rule-based systems, in classifying employers likely to engage in undeclared work. Indeed, the results of this pilot project proved divulging, even to the most experienced labour inspectors, offering insights in patterns of employers’ illegal behaviour, that were previously unidentified.
{"title":"Association Rules and Machine Learning for Enhancing Undeclared Work Detection","authors":"Eleni Alogogianni, M. Virvou","doi":"10.1109/IISA50023.2020.9284414","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284414","url":null,"abstract":"Undeclared work is, by definition, a multi-faceted phenomenon that needs to be detected. In welfare states, undeclared work results in loss of public revenue and thus resources critical for welfare mechanisms’ funding, lack of worker protection and, last but not least, unfair competition for legitimate businesses. Yet, little to no studies have proposed the use of sophisticated machine learning methods in tackling this severe socioeconomic problem. In this study, we demonstrate the application of an advanced data analysis method, the association rule mining, which has significant advantages over rule-based systems, in classifying employers likely to engage in undeclared work. Indeed, the results of this pilot project proved divulging, even to the most experienced labour inspectors, offering insights in patterns of employers’ illegal behaviour, that were previously unidentified.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121701798","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284401
Avar Pentel, Lisanne-Liis Kaiva
All Estonia’s upper-secondary school students have three mandatory final state examinations – in mathematics, Estonian language and foreign language. We used data obtained from one school in order to predict student’s final examination scores based on previous grades and demographic data. Our aim was to find most important factors that contribute positively to final results and vice versa. Machine learning package Weka was used to build predictive models and with all tested attribute sets we got accuracy over 80% on classification. On continuous models we got mean absolute error close or less to 10, when range of test result was 0-100 points. Most of our attributes were subject grades on scale 1-5, and therefore, as we limited our testing sample with one school only, it gave interesting insights into how some subjects and teachers do contribute to final test results. And, surprisingly, it turned out, that for some test result, most significant predictor was negatively correlated to the result. It means that having bad grades in some subjects was a good predictor of success in final test. Besides being a useful tool for students who want to estimate possible test results beforehand, it is also a useful tool for measuring teachers’ contributions and relationships between different subjects.
{"title":"Predicting Students’ State Examination Results based on Previous Grades and Demographics","authors":"Avar Pentel, Lisanne-Liis Kaiva","doi":"10.1109/IISA50023.2020.9284401","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284401","url":null,"abstract":"All Estonia’s upper-secondary school students have three mandatory final state examinations – in mathematics, Estonian language and foreign language. We used data obtained from one school in order to predict student’s final examination scores based on previous grades and demographic data. Our aim was to find most important factors that contribute positively to final results and vice versa. Machine learning package Weka was used to build predictive models and with all tested attribute sets we got accuracy over 80% on classification. On continuous models we got mean absolute error close or less to 10, when range of test result was 0-100 points. Most of our attributes were subject grades on scale 1-5, and therefore, as we limited our testing sample with one school only, it gave interesting insights into how some subjects and teachers do contribute to final test results. And, surprisingly, it turned out, that for some test result, most significant predictor was negatively correlated to the result. It means that having bad grades in some subjects was a good predictor of success in final test. Besides being a useful tool for students who want to estimate possible test results beforehand, it is also a useful tool for measuring teachers’ contributions and relationships between different subjects.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131134698","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}
In this paper we have reviewed the use of a cablebot system inside greenhouses and small plots for Precision Agriculture, that is able to inform the user for plant disease and micro-climate measurements. The proposed system moves alongside a cable above a crop and takes measurements by an array of sensors (relative humidity, temperature, air quality, spectral etc) that it carries.
{"title":"A Smart Cablebot for Spectral Imaging and Micro-climate measurements inside Greenhouses","authors":"Dionysios Bitas, Kyriakos Papastavros, Dimitris Tsipianitis","doi":"10.1109/IISA50023.2020.9284392","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284392","url":null,"abstract":"In this paper we have reviewed the use of a cablebot system inside greenhouses and small plots for Precision Agriculture, that is able to inform the user for plant disease and micro-climate measurements. The proposed system moves alongside a cable above a crop and takes measurements by an array of sensors (relative humidity, temperature, air quality, spectral etc) that it carries.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131163289","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284344
M. Lévano
The customization of students’ self-regulation regarding the use of information and communication technologies (ICT), is generally aimed as a process of dynamic transitions in their formative or non-formative process. The self-regulation process occurs in a context structured by the convergence theory (ICT and life environment). The objective of this work provides a framework for continuous improvement between the interrelation of activation of the use or adoption of ICT by students in a context of competencies. It was performed with a sample of students. An experimental random sampling design was used. The results demonstrate the manner of application of ICT used by the student in their self-learning. It is observed in the treatment of variability and uncertainty in the environment, it helps trainers to estimate times in training activities in an efficient and fat free way.
{"title":"Customization of self-regulation in the use of ICT for the learning process with continuous improvement: Catholic University of Temuco, Chile","authors":"M. Lévano","doi":"10.1109/IISA50023.2020.9284344","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284344","url":null,"abstract":"The customization of students’ self-regulation regarding the use of information and communication technologies (ICT), is generally aimed as a process of dynamic transitions in their formative or non-formative process. The self-regulation process occurs in a context structured by the convergence theory (ICT and life environment). The objective of this work provides a framework for continuous improvement between the interrelation of activation of the use or adoption of ICT by students in a context of competencies. It was performed with a sample of students. An experimental random sampling design was used. The results demonstrate the manner of application of ICT used by the student in their self-learning. It is observed in the treatment of variability and uncertainty in the environment, it helps trainers to estimate times in training activities in an efficient and fat free way.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133346105","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284368
Maria D. Karasimou, Vasileios Antonenas, Vasileios Laitsos, Vasileios Polychronides, L. Tsoukalas
Intelligent tools are brought to bear on the analysis of energy data from Greece in the period 2010-20. During this period a paradoxical phenomenon is observed namely, an increase in energy productivity in the midst of unprecedented economic decline as measured by Gross Domestic Product (GDP). Preliminary results identify improvements in the overall efficiency of capital due to the collapse in demand following draconian austerity measures. Background, directions and trends are analyzed, policy alternatives examined, and, a new measure of energy utilization with possible real-time applications is proposed.
{"title":"Intelligent Data Analytics from the Energy Economics of the Greek Debt Crisis","authors":"Maria D. Karasimou, Vasileios Antonenas, Vasileios Laitsos, Vasileios Polychronides, L. Tsoukalas","doi":"10.1109/IISA50023.2020.9284368","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284368","url":null,"abstract":"Intelligent tools are brought to bear on the analysis of energy data from Greece in the period 2010-20. During this period a paradoxical phenomenon is observed namely, an increase in energy productivity in the midst of unprecedented economic decline as measured by Gross Domestic Product (GDP). Preliminary results identify improvements in the overall efficiency of capital due to the collapse in demand following draconian austerity measures. Background, directions and trends are analyzed, policy alternatives examined, and, a new measure of energy utilization with possible real-time applications is proposed.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130323902","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284377
Vassilios Matsouliadis, K. Siountri, D. Vergados
The economic development planning and implementation of the modern societies shall be carried out simultaneously by both environmental protection and a natural resources exploitation in a sustainable way. Building units could achieve these goals directly through an energy design and their corresponding energy efficiency. Initially, a building is being simulated through a computational model, based on parameters of the methodology established by the Energy Efficiency Regulation of Buildings (E.E.R.B.). Afterwards, the results are being thoroughly checked and evaluated in the frame of its energy efficiency, as well as its financial data. The conclusions can be deduced through the exploitation of Internet of Things - IoT technology by evolving the building and thus, expanding the city into a smart city.
{"title":"Analysis and Design of Services in Building Units in the context of a Smart City","authors":"Vassilios Matsouliadis, K. Siountri, D. Vergados","doi":"10.1109/IISA50023.2020.9284377","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284377","url":null,"abstract":"The economic development planning and implementation of the modern societies shall be carried out simultaneously by both environmental protection and a natural resources exploitation in a sustainable way. Building units could achieve these goals directly through an energy design and their corresponding energy efficiency. Initially, a building is being simulated through a computational model, based on parameters of the methodology established by the Energy Efficiency Regulation of Buildings (E.E.R.B.). Afterwards, the results are being thoroughly checked and evaluated in the frame of its energy efficiency, as well as its financial data. The conclusions can be deduced through the exploitation of Internet of Things - IoT technology by evolving the building and thus, expanding the city into a smart city.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114396229","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284347
Eleni S. Vergini, P. Groumpos
Fuzzy Cognitive Maps (FCM) are developed in recent decades in order to model complex systems, combining Fuzzy Logic and Neural Networks. They have been used in various systems and applications and they have been combined with learning algorithms and experts’ knowledge. This paper presents new equations for the concept values calculation and uses the state-space approach in FCMs, separating the concepts as inputs, states and outputs. All the above are applied on a FCM, modelling a Nearly Zero Energy Building (nZEB), creating a strong base for further improvement and research.
{"title":"Advanced Fuzzy Cognitive Maps Modelling a Nearly Zero Energy Building","authors":"Eleni S. Vergini, P. Groumpos","doi":"10.1109/IISA50023.2020.9284347","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284347","url":null,"abstract":"Fuzzy Cognitive Maps (FCM) are developed in recent decades in order to model complex systems, combining Fuzzy Logic and Neural Networks. They have been used in various systems and applications and they have been combined with learning algorithms and experts’ knowledge. This paper presents new equations for the concept values calculation and uses the state-space approach in FCMs, separating the concepts as inputs, states and outputs. All the above are applied on a FCM, modelling a Nearly Zero Energy Building (nZEB), creating a strong base for further improvement and research.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125938212","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 : 2020-07-15DOI: 10.1109/IISA50023.2020.9284365
Yuvaraj Munian, Antonio Martinez-Molina, M. Alamaniotis
Animal Vehicle Collision, commonly called as roadkill, is an emerging threat to humans and wild animals with increasing fatalities every year. Amid Vehicular crashes, animal actions (i.e. deer) are unpredictable and erratic on roadways. This paper unveils a newer dimension for wild animals’ auto-detection during active nocturnal hours using thermal image processing over camera car mount in the vehicle. To implement effective hot spot and moving object detection, obtained radiometric images are transformed and processed by an intelligent system. This intelligent system extracts the features of the image and subsequently detects the existence of an object of interest (i.e. deer). The main technique to extract the features of wild animals is the Histogram of Oriented Gradient (HOG) transform. The features are detected by normalizing the radiometric image and then processed by finding the magnitude and gradient of a pixel. The extracted features are given as an input to the basic deep learning model, a one-dimensional convolutional neural network (1D-CNN), where binary cross-entropy is used to detect the existence of the object. This intelligent system has been tested on a set of real scenarios and gives approximately 91% accuracy in the correct detection of the wild animals on roadsides from the city of San Antonio, TX, in the USA.
{"title":"Intelligent System for Detection of Wild Animals Using HOG and CNN in Automobile Applications","authors":"Yuvaraj Munian, Antonio Martinez-Molina, M. Alamaniotis","doi":"10.1109/IISA50023.2020.9284365","DOIUrl":"https://doi.org/10.1109/IISA50023.2020.9284365","url":null,"abstract":"Animal Vehicle Collision, commonly called as roadkill, is an emerging threat to humans and wild animals with increasing fatalities every year. Amid Vehicular crashes, animal actions (i.e. deer) are unpredictable and erratic on roadways. This paper unveils a newer dimension for wild animals’ auto-detection during active nocturnal hours using thermal image processing over camera car mount in the vehicle. To implement effective hot spot and moving object detection, obtained radiometric images are transformed and processed by an intelligent system. This intelligent system extracts the features of the image and subsequently detects the existence of an object of interest (i.e. deer). The main technique to extract the features of wild animals is the Histogram of Oriented Gradient (HOG) transform. The features are detected by normalizing the radiometric image and then processed by finding the magnitude and gradient of a pixel. The extracted features are given as an input to the basic deep learning model, a one-dimensional convolutional neural network (1D-CNN), where binary cross-entropy is used to detect the existence of the object. This intelligent system has been tested on a set of real scenarios and gives approximately 91% accuracy in the correct detection of the wild animals on roadsides from the city of San Antonio, TX, in the USA.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116124244","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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