Pub Date : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161433
Ana Vesić, Vuk Ignjatović, Sava Lakićević, Luka Lakićević, Bojan Gutić, Hristo Skačev, Dušan Dotlić, A. Mićović, M. Jakovljević, M. Zivkovic
Agriculture is one of the most important sectors for any country, and it is one of the fields which could benefit most from the digitalization. Digitalization can be widely defined as the integrated use of aggregated data services and tools. It is considered to be a part of a fourth industrial revolution that relies on the fusion of a large number of different technologies which can erase the lines between physical, digital, and biological worlds. The emergence of drones, robots, remote sensors, data science, and Big Data, has been deeply influencing all aspects of farming and food.This paper describes in detail the development of a tool to be implemented in a future web platform called eAgro. The web platform will serve all members of agriculture to promote themselves and their products, to create a thriving environment for businesses, and to serve as an organizing tool in the large community of agricultural workers. The tool discussed in this paper analyses the weather conditions of an area, coupled with the soil analysis of land to give predictions and suggestions for crop growth and fertilization, using elements of data science and developed formulas. The paper contains the motivation for the idea, a detailed explanation of the methodology used, and the future potential of such a tool.
{"title":"Predicting Plant Water and Soil Nutrient Requirements","authors":"Ana Vesić, Vuk Ignjatović, Sava Lakićević, Luka Lakićević, Bojan Gutić, Hristo Skačev, Dušan Dotlić, A. Mićović, M. Jakovljević, M. Zivkovic","doi":"10.1109/ZINC50678.2020.9161433","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161433","url":null,"abstract":"Agriculture is one of the most important sectors for any country, and it is one of the fields which could benefit most from the digitalization. Digitalization can be widely defined as the integrated use of aggregated data services and tools. It is considered to be a part of a fourth industrial revolution that relies on the fusion of a large number of different technologies which can erase the lines between physical, digital, and biological worlds. The emergence of drones, robots, remote sensors, data science, and Big Data, has been deeply influencing all aspects of farming and food.This paper describes in detail the development of a tool to be implemented in a future web platform called eAgro. The web platform will serve all members of agriculture to promote themselves and their products, to create a thriving environment for businesses, and to serve as an organizing tool in the large community of agricultural workers. The tool discussed in this paper analyses the weather conditions of an area, coupled with the soil analysis of land to give predictions and suggestions for crop growth and fertilization, using elements of data science and developed formulas. The paper contains the motivation for the idea, a detailed explanation of the methodology used, and the future potential of such a tool.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"62 6","pages":"132-137"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72606262","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161445
Phavish Babajee, Geerish Suddul, S. Armoogum, Ravi Foogooa
The identification of facial expressions that reveal human emotions can help computers to better assess the human state of mind, so as to provide a more customized interaction. We explore the recognition of human facial expressions through a deep learning approach using a Convolutional Neural Network (CNN) algorithm. The system uses a labelled data set containing around 32,298 images with multiple facial expressions for training and testing. The pre-training phase involves a face detection subsystem with noise removal, including feature extraction. The generated classification model used for prediction can identify seven emotions of the Facial Action Coding System (FACS). Results of our work in progress demonstrate an accuracy of 79.8% for the recognition of all basic seven human emotions, without the application of optimization techniques.
{"title":"Identifying Human Emotions from Facial Expressions with Deep Learning","authors":"Phavish Babajee, Geerish Suddul, S. Armoogum, Ravi Foogooa","doi":"10.1109/ZINC50678.2020.9161445","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161445","url":null,"abstract":"The identification of facial expressions that reveal human emotions can help computers to better assess the human state of mind, so as to provide a more customized interaction. We explore the recognition of human facial expressions through a deep learning approach using a Convolutional Neural Network (CNN) algorithm. The system uses a labelled data set containing around 32,298 images with multiple facial expressions for training and testing. The pre-training phase involves a face detection subsystem with noise removal, including feature extraction. The generated classification model used for prediction can identify seven emotions of the Facial Action Coding System (FACS). Results of our work in progress demonstrate an accuracy of 79.8% for the recognition of all basic seven human emotions, without the application of optimization techniques.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"8 4 1","pages":"36-39"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74904780","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161820
Alexandru Hang, M. Dascalu, I. Stanica
When dealing with diseases spread, infectious epidemiologists play a vital role. To support them, but also to offer a self-protecting tool to everyone in the context of COVID- 19 pandemic, we propose a cross platform app to track the infected persons, by using their location history. The paper shortly presents the Covid-19 Contacts Tracker App working principle and technologies, as well as issues related to data privacy and security and how we solve them. We claim that the app might be useful in any diseases spread, not only in the current global situation.
{"title":"Contact Tracing App for Containing Diseases Spread","authors":"Alexandru Hang, M. Dascalu, I. Stanica","doi":"10.1109/ZINC50678.2020.9161820","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161820","url":null,"abstract":"When dealing with diseases spread, infectious epidemiologists play a vital role. To support them, but also to offer a self-protecting tool to everyone in the context of COVID- 19 pandemic, we propose a cross platform app to track the infected persons, by using their location history. The paper shortly presents the Covid-19 Contacts Tracker App working principle and technologies, as well as issues related to data privacy and security and how we solve them. We claim that the app might be useful in any diseases spread, not only in the current global situation.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"32 1","pages":"216-217"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91213626","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161781
S. Popic, Vanja Komadina, Ranka Arsenovic, Mia Stepanovic
This paper presents easy to use domain-specific language for system testing in V-model development lifecycle. The systematic approach offered by the domain-specific language for system testing eliminates miscommunications between testers and requirement engineers making the testing closer to the requirement engineers. This concept enables automation in the generation of the tests based on given System Requirements in the future. As many would argue on V-Model’s difficulty to align system requirements and system tests, this approach enables better mapping between those two parts of the V-diagram. This will make no functional requirement missing its counterpart in testing and vice-versa.
{"title":"Implementation of the simple domain-specific language for system testing in V-Model development lifecycle","authors":"S. Popic, Vanja Komadina, Ranka Arsenovic, Mia Stepanovic","doi":"10.1109/ZINC50678.2020.9161781","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161781","url":null,"abstract":"This paper presents easy to use domain-specific language for system testing in V-model development lifecycle. The systematic approach offered by the domain-specific language for system testing eliminates miscommunications between testers and requirement engineers making the testing closer to the requirement engineers. This concept enables automation in the generation of the tests based on given System Requirements in the future. As many would argue on V-Model’s difficulty to align system requirements and system tests, this approach enables better mapping between those two parts of the V-diagram. This will make no functional requirement missing its counterpart in testing and vice-versa.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"20 1","pages":"290-294"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83205894","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161808
Wenlin Han, Madhura Ansingkar
Elsagate refers to kids videos containing inappropriate content for children but difficult to filter thus often shown up on kids channels. Most of the mainstream kids channels have powerful filters. However, when the inappropriate content is sparse, the filters often fail to detect the inappropriateness. In this paper, we introduce our work in progress, a scheme to detect Elsagate videos based on Sparse Linear Discrimination (SLD), an effective way to help detect and classify these kinds of unsafe videos and enrich better user experience.
{"title":"Discovery of Elsagate: Detection of Sparse Inappropriate Content from Kids Videos","authors":"Wenlin Han, Madhura Ansingkar","doi":"10.1109/ZINC50678.2020.9161808","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161808","url":null,"abstract":"Elsagate refers to kids videos containing inappropriate content for children but difficult to filter thus often shown up on kids channels. Most of the mainstream kids channels have powerful filters. However, when the inappropriate content is sparse, the filters often fail to detect the inappropriateness. In this paper, we introduce our work in progress, a scheme to detect Elsagate videos based on Sparse Linear Discrimination (SLD), an effective way to help detect and classify these kinds of unsafe videos and enrich better user experience.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"13 1","pages":"46-47"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87842191","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161822
Sandra Ivanovic, Lazar Vukasović, Marija Antic, I. Papp
Sensory data from industrial and agricultural facilities represents a valuable source of information about the system state and operation. In order to collect and store this data, some of the already existing local networking IoT technologies can be used. However, industrial IoT solutions are often deployed in areas with limited Internet connectivity, and delivering this data to the cloud represents a challenge. In this paper, we propose the design of a field gateway device, deployed in the industrial IoT solution with BLE (Bluetooth Low Energy) sensors. The gateway stores BLE sensory data locally and periodically delivers it to the cloud using 3G cellular network connection.
{"title":"3G-Enabled Field Gateway for Collecting Industrial BLE Sensor Data","authors":"Sandra Ivanovic, Lazar Vukasović, Marija Antic, I. Papp","doi":"10.1109/ZINC50678.2020.9161822","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161822","url":null,"abstract":"Sensory data from industrial and agricultural facilities represents a valuable source of information about the system state and operation. In order to collect and store this data, some of the already existing local networking IoT technologies can be used. However, industrial IoT solutions are often deployed in areas with limited Internet connectivity, and delivering this data to the cloud represents a challenge. In this paper, we propose the design of a field gateway device, deployed in the industrial IoT solution with BLE (Bluetooth Low Energy) sensors. The gateway stores BLE sensory data locally and periodically delivers it to the cloud using 3G cellular network connection.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"74 1","pages":"73-76"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87526150","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161810
L. Mâță, Ioana Boghian, Alexandra-Georgiana Poenaru, Cosmin Tomozei
The aim of our study consists in the analysis of the implications of the unethical use of social networking in academic environment. In the first part of the paper the key concept of unethical use of social networking is defined, which is a new term, following the extension of the significance of the unethical use of information technology. In the second part, there are analyzed the advantages and main issues of the unethical use of social networking. Also, there are highlighted the main implications from the psycho-social, pedagogical, and information technology perspective. In the last part of the paper, there are identified relevant solutions regarding the ethical use of social networking in higher education.
{"title":"Implications of the unethical use of social networking in higher education","authors":"L. Mâță, Ioana Boghian, Alexandra-Georgiana Poenaru, Cosmin Tomozei","doi":"10.1109/ZINC50678.2020.9161810","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161810","url":null,"abstract":"The aim of our study consists in the analysis of the implications of the unethical use of social networking in academic environment. In the first part of the paper the key concept of unethical use of social networking is defined, which is a new term, following the extension of the significance of the unethical use of information technology. In the second part, there are analyzed the advantages and main issues of the unethical use of social networking. Also, there are highlighted the main implications from the psycho-social, pedagogical, and information technology perspective. In the last part of the paper, there are identified relevant solutions regarding the ethical use of social networking in higher education.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"41 4","pages":"321-326"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91399448","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161790
Van Quyen Ngo, K. Al-haddad, K. Nguyen
Microgrid is becoming the most attractive solution for integrating distributed renewable sources into the utility grid. Such a system combines renewable generations with conventional distributed generations, storage systems, and loads in one entity operating in both isolated and grid-connected modes. However, it also associates with a high level of uncertainty and volatility following climatic conditions. Therefore, energy management strategies in operating MGs plays a crucial role in term of economic and reliability. This paper investigates a method applying constrained multi-swarm particle swarm optimization without velocity-based model predictive control to optimize the operation cost in small scale PV-MGs. The results are compared with the linear programming algorithm. The results show the effective modified particle swarm optimization embedded in the model predictive control algorithm performed well. The simulations are run over 24 hours ahead based on the forecast data of PV generation, load demands, and energy price.
{"title":"Particle Swarm Optimization – Model Predictive Control for Microgrid Energy Management","authors":"Van Quyen Ngo, K. Al-haddad, K. Nguyen","doi":"10.1109/ZINC50678.2020.9161790","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161790","url":null,"abstract":"Microgrid is becoming the most attractive solution for integrating distributed renewable sources into the utility grid. Such a system combines renewable generations with conventional distributed generations, storage systems, and loads in one entity operating in both isolated and grid-connected modes. However, it also associates with a high level of uncertainty and volatility following climatic conditions. Therefore, energy management strategies in operating MGs plays a crucial role in term of economic and reliability. This paper investigates a method applying constrained multi-swarm particle swarm optimization without velocity-based model predictive control to optimize the operation cost in small scale PV-MGs. The results are compared with the linear programming algorithm. The results show the effective modified particle swarm optimization embedded in the model predictive control algorithm performed well. The simulations are run over 24 hours ahead based on the forecast data of PV generation, load demands, and energy price.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"29 41","pages":"264-269"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91418201","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161770
Hasan Ali Gamal Al-kaf, K. Chia, Faiz Ridwan Bin Abdul mubin
The ever-changing technology has shaped people’s way of life especially in the modern era of the business and agriculture sectors. Nowa days the price of pineapple depends on the size of the pineapple and also the type of pineapple that are related to the quality of pineapples. Different consumers have different desired size and weight of their purchased pineapples for their purposes. Consequently, traders and farmers need to sort the size of the pineapples to better understand the relationship among supplies and demands so that the values of pineapples can be maximized. Thus, this study proposes a system can automatically determine the size (i.e. length, diameter, and circumference) and the weight of pineapples to avoid laborious intensive and inconsistent manual sorting process that may deteriorate the consumers’ interest due to wrong sorted fruits. Different positions and sizes of pineapples were investigated and studied. The performance of the proposed system was compared with manual measurement method. Results indicate that the proposed system is promising to be further developed to automate the size and weight sorting process that can improve the interest of consumers.
{"title":"The Size And Weight Prediction For Intact Pineapples Using A Low Cost Vision System","authors":"Hasan Ali Gamal Al-kaf, K. Chia, Faiz Ridwan Bin Abdul mubin","doi":"10.1109/ZINC50678.2020.9161770","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161770","url":null,"abstract":"The ever-changing technology has shaped people’s way of life especially in the modern era of the business and agriculture sectors. Nowa days the price of pineapple depends on the size of the pineapple and also the type of pineapple that are related to the quality of pineapples. Different consumers have different desired size and weight of their purchased pineapples for their purposes. Consequently, traders and farmers need to sort the size of the pineapples to better understand the relationship among supplies and demands so that the values of pineapples can be maximized. Thus, this study proposes a system can automatically determine the size (i.e. length, diameter, and circumference) and the weight of pineapples to avoid laborious intensive and inconsistent manual sorting process that may deteriorate the consumers’ interest due to wrong sorted fruits. Different positions and sizes of pineapples were investigated and studied. The performance of the proposed system was compared with manual measurement method. Results indicate that the proposed system is promising to be further developed to automate the size and weight sorting process that can improve the interest of consumers.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"8 1","pages":"146-150"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84593914","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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