Pub Date : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042016
G. Suciu, Ijaz Hussain
Monitoring and detecting changes in the environment and can be used for several purposes. To develop new advanced services for smart environments, data gathered during the monitoring need to be stored, processed and correlated to different parts of the information that characterizes or influences the environment itself. With the quick advancement in enabling technologies for ubiquitous computing, more and more active or passive devices/sensors are augmented in the smart indoor environment. Service innovations, enabled by the confluence of big data, mobile solutions, cloud, social, and cognitive computing, and the Internet of Things (IoT), have gained a lot of attention among many enterprises in the past few years because they represent promising ways for companies to effectively and rapidly deliver new services. But one of today's most pervasive and bedeviling challenges is how to start this journey and stay on course. In this paper we present our state-of-the-art technology and IoT devices, how they are playing a vital role in making the world advanced. The biggest conclusion is that all the information and communications technology (ICT)-enabled service innovations need to be human-centered and focused on co-creating value. We took into consideration smart home/office IoT systems, the related security and privacy challenges and an outlook on the possible solutions towards a holistic security framework for these IoT systems.
{"title":"Smart Service Systems: Security and Privacy Challenges in Internet of Things","authors":"G. Suciu, Ijaz Hussain","doi":"10.1109/ECAI46879.2019.9042016","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042016","url":null,"abstract":"Monitoring and detecting changes in the environment and can be used for several purposes. To develop new advanced services for smart environments, data gathered during the monitoring need to be stored, processed and correlated to different parts of the information that characterizes or influences the environment itself. With the quick advancement in enabling technologies for ubiquitous computing, more and more active or passive devices/sensors are augmented in the smart indoor environment. Service innovations, enabled by the confluence of big data, mobile solutions, cloud, social, and cognitive computing, and the Internet of Things (IoT), have gained a lot of attention among many enterprises in the past few years because they represent promising ways for companies to effectively and rapidly deliver new services. But one of today's most pervasive and bedeviling challenges is how to start this journey and stay on course. In this paper we present our state-of-the-art technology and IoT devices, how they are playing a vital role in making the world advanced. The biggest conclusion is that all the information and communications technology (ICT)-enabled service innovations need to be human-centered and focused on co-creating value. We took into consideration smart home/office IoT systems, the related security and privacy challenges and an outlook on the possible solutions towards a holistic security framework for these IoT systems.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115709001","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042022
V. Iordache, Răzvan Andrei Gheorghiu, V. Stan, Madalina Tarla
The importance of public transport in modern cities is undisputable: considering the land usage per traveler is about 20 times more efficient than private cars. But an unreliable transport cannot be attractive and will not be used at its fullest. It is important to have a good knowledge about the time a vehicle arrives in a bus stop, and when you will get to your destination. GPS systems may provide location, but with a rough approximation, especially in cities with tall buildings, or some vehicles may not possess it. Therefore, a complementary system must be installed to improve the location accuracy. Based on its main features, ZigBee was considered to be a solution. With the possibility of measuring RSSI, it was considered that location in two-dimensional space (like the road network) can be obtained. The analysis performed, both in laboratory (controlled) environment and in real life conditions, tested the possibility to use this technology for more accurate detection of public transport vehicles along the line.
{"title":"ZigBee localization system for public transport vehicles","authors":"V. Iordache, Răzvan Andrei Gheorghiu, V. Stan, Madalina Tarla","doi":"10.1109/ECAI46879.2019.9042022","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042022","url":null,"abstract":"The importance of public transport in modern cities is undisputable: considering the land usage per traveler is about 20 times more efficient than private cars. But an unreliable transport cannot be attractive and will not be used at its fullest. It is important to have a good knowledge about the time a vehicle arrives in a bus stop, and when you will get to your destination. GPS systems may provide location, but with a rough approximation, especially in cities with tall buildings, or some vehicles may not possess it. Therefore, a complementary system must be installed to improve the location accuracy. Based on its main features, ZigBee was considered to be a solution. With the possibility of measuring RSSI, it was considered that location in two-dimensional space (like the road network) can be obtained. The analysis performed, both in laboratory (controlled) environment and in real life conditions, tested the possibility to use this technology for more accurate detection of public transport vehicles along the line.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132533182","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9041994
G. Suciu, A. Pasat, M. Balanescu, Ioana Suciu, A. Banaru, Iacob Crucianu
Modern society is struggling to improve health services and biomedical systems, trying to efficiency them, which is a rather difficult problem. To improve health care services, the ESTABLISH project, which uses an IoT (Internet of Things) based information system, has been introduced. This system contains environmental and portable sensors networks, computer applications and the human factor. In physical architecture is described the decision support system that uses complex hardware and software components. In Experiments and Results are presented some aspects such as Data collecting, Programming, Data presentation and analyze.
{"title":"ESTABLISH: A smart health platform for enhancing the quality of life","authors":"G. Suciu, A. Pasat, M. Balanescu, Ioana Suciu, A. Banaru, Iacob Crucianu","doi":"10.1109/ECAI46879.2019.9041994","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9041994","url":null,"abstract":"Modern society is struggling to improve health services and biomedical systems, trying to efficiency them, which is a rather difficult problem. To improve health care services, the ESTABLISH project, which uses an IoT (Internet of Things) based information system, has been introduced. This system contains environmental and portable sensors networks, computer applications and the human factor. In physical architecture is described the decision support system that uses complex hardware and software components. In Experiments and Results are presented some aspects such as Data collecting, Programming, Data presentation and analyze.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131244367","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9041951
Alexandru Buturugă, R. Constantinescu, D. Stoichescu
Throughout the design cycle of embedded software for microcontrollers one crucial aspect is always the microcontroller's performance. There are many variables when it comes to microcontroller performance: clock speed, memory size, current consumption etc. This paper focuses on analyzing the microcontrollers' current consumption under some specific scenarios while executing specially designed software. The focus of this analysis is on 8-bit microcontrollers. The purpose of this analysis is to help engineers design energy efficient embedded software.
{"title":"Current consumption analysis for 8-bit microcontrollers","authors":"Alexandru Buturugă, R. Constantinescu, D. Stoichescu","doi":"10.1109/ECAI46879.2019.9041951","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9041951","url":null,"abstract":"Throughout the design cycle of embedded software for microcontrollers one crucial aspect is always the microcontroller's performance. There are many variables when it comes to microcontroller performance: clock speed, memory size, current consumption etc. This paper focuses on analyzing the microcontrollers' current consumption under some specific scenarios while executing specially designed software. The focus of this analysis is on 8-bit microcontrollers. The purpose of this analysis is to help engineers design energy efficient embedded software.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114187620","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9041961
H. Oğuz, Aykut Kalaycioglu, A. Akbulut
Self Organizing Networks (SONs) are considered as one of the key features for automation of network management in new generation of mobile communications. The upcoming fifth generation (5G) mobile networks are likely to offer new advancements for SON solutions. In SON concept, self-healing is a prominent task which comes along with cell outage detection and cell outage compensation. 5G networks are supposed to have ultra-dense deployments which makes cell outage detection critical and harder for network maintenance. Therefore, by imitating the ultra-dense multi-tiered scenarios regarding 5G networks, this study investigates femtocell outage detection by means of the metrics generated in user equipments with the help of Long-Short Term Memory (LSTM). Based on the parameters such as signal to interference noise ratio and channel quality indicator, time series data of the user equipments in the femtocell site are trained and tested with LSTM network. On the average, in more than 77% of the cases the outage states of the femtocells are correctly predicted.
{"title":"Femtocell Outage Detection in Multi-Tiered Networks using LSTM","authors":"H. Oğuz, Aykut Kalaycioglu, A. Akbulut","doi":"10.1109/ECAI46879.2019.9041961","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9041961","url":null,"abstract":"Self Organizing Networks (SONs) are considered as one of the key features for automation of network management in new generation of mobile communications. The upcoming fifth generation (5G) mobile networks are likely to offer new advancements for SON solutions. In SON concept, self-healing is a prominent task which comes along with cell outage detection and cell outage compensation. 5G networks are supposed to have ultra-dense deployments which makes cell outage detection critical and harder for network maintenance. Therefore, by imitating the ultra-dense multi-tiered scenarios regarding 5G networks, this study investigates femtocell outage detection by means of the metrics generated in user equipments with the help of Long-Short Term Memory (LSTM). Based on the parameters such as signal to interference noise ratio and channel quality indicator, time series data of the user equipments in the femtocell site are trained and tested with LSTM network. On the average, in more than 77% of the cases the outage states of the femtocells are correctly predicted.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123982006","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042167
A. Fernandes, M. Baptista, Luís Fernandes, Paulo Chaves
As maritime smuggling is being combatted more effectively, the criminal “modus operandi” consists more frequently of using small aircraft and drones for drug transport. To address this issue, we report our efforts to develop a system capable of accurately tracking suspicious flying objects and identifying them on video streams. Our solution consists in coupling classical computer vision with deep learning to perform tracking and object detection. A discrete Kalman filter is used to predict the location of each object being tracked while the Hungarian algorithm is used to match objects between successive frames. Whenever a potential target is considered suspicious the input images are zoomed and fed into a deep learning pipeline that separates images into the classes aircraft, drones, birds or clouds. A literature survey indicates that this problem with important applications is yet to be fully explored.
{"title":"Drone, Aircraft and Bird Identification in Video Images Using Object Tracking and Residual Neural Networks","authors":"A. Fernandes, M. Baptista, Luís Fernandes, Paulo Chaves","doi":"10.1109/ECAI46879.2019.9042167","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042167","url":null,"abstract":"As maritime smuggling is being combatted more effectively, the criminal “modus operandi” consists more frequently of using small aircraft and drones for drug transport. To address this issue, we report our efforts to develop a system capable of accurately tracking suspicious flying objects and identifying them on video streams. Our solution consists in coupling classical computer vision with deep learning to perform tracking and object detection. A discrete Kalman filter is used to predict the location of each object being tracked while the Hungarian algorithm is used to match objects between successive frames. Whenever a potential target is considered suspicious the input images are zoomed and fed into a deep learning pipeline that separates images into the classes aircraft, drones, birds or clouds. A literature survey indicates that this problem with important applications is yet to be fully explored.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115301698","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042132
Gozde Karatas, Önder Demir, O. K. Sahingoz
In recent years, almost all the real-world operations are transferred to cyber world and these market computers connect with each other via Internet. As a result of this, there is an increasing number of security breaches of the networks, whose admins cannot protect their networks from the all types of attacks. Although most of these attacks can be prevented with the use of firewalls, encryption mechanisms, access controls and some password protections mechanisms; due to the emergence of new type of attacks, a dynamic intrusion detection mechanism is always needed in the information security market. To enable the dynamicity of the Intrusion Detection System (IDS), it should be updated by using a modern learning mechanism. Neural Network approach is one of the mostly preferred algorithms for training the system. However, with the increasing power of parallel computing and use of big data for training, as a new concept, deep learning has been used in many of the modern real-world problems. Therefore, in this paper, we have proposed an IDS system which uses GPU powered Deep Learning Algorithms. The experimental results are collected on mostly preferred dataset KDD99 and it showed that use of GPU speed up training time up to 6.48 times depending on the number of the hidden layers and nodes in them. Additionally, we compare the different optimizers to enlighten the researcher to select the best one for their ongoing or future research.
{"title":"A Deep Learning Based Intrusion Detection System on GPUs","authors":"Gozde Karatas, Önder Demir, O. K. Sahingoz","doi":"10.1109/ECAI46879.2019.9042132","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042132","url":null,"abstract":"In recent years, almost all the real-world operations are transferred to cyber world and these market computers connect with each other via Internet. As a result of this, there is an increasing number of security breaches of the networks, whose admins cannot protect their networks from the all types of attacks. Although most of these attacks can be prevented with the use of firewalls, encryption mechanisms, access controls and some password protections mechanisms; due to the emergence of new type of attacks, a dynamic intrusion detection mechanism is always needed in the information security market. To enable the dynamicity of the Intrusion Detection System (IDS), it should be updated by using a modern learning mechanism. Neural Network approach is one of the mostly preferred algorithms for training the system. However, with the increasing power of parallel computing and use of big data for training, as a new concept, deep learning has been used in many of the modern real-world problems. Therefore, in this paper, we have proposed an IDS system which uses GPU powered Deep Learning Algorithms. The experimental results are collected on mostly preferred dataset KDD99 and it showed that use of GPU speed up training time up to 6.48 times depending on the number of the hidden layers and nodes in them. Additionally, we compare the different optimizers to enlighten the researcher to select the best one for their ongoing or future research.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124769183","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9041979
D. Visan, M. Jurian, I. Lita, L. Ionescu, A. Mazare
In this paper is presented the design and the implementation of a communication module that is based on the highly efficient direct sequence spread spectrum transmission technique (DSSS). The proposed system is intended for applications in the field of distributed wireless sensor networks used for remote monitoring of physical quantities in multipoint locations placed on large geographical areas. The implementation solution of the module ensures high noise rejection and elevated data transmission speed under conditions of good spectral efficiency. Also, the architecture of the system is compatible with the code division multiple access technique allowing simultaneously transmission of signals from multiple sources without significant performance degradation.
{"title":"Direct Sequence Spread Spectrum Communication Module for Efficient Wireless Sensor Networks","authors":"D. Visan, M. Jurian, I. Lita, L. Ionescu, A. Mazare","doi":"10.1109/ECAI46879.2019.9041979","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9041979","url":null,"abstract":"In this paper is presented the design and the implementation of a communication module that is based on the highly efficient direct sequence spread spectrum transmission technique (DSSS). The proposed system is intended for applications in the field of distributed wireless sensor networks used for remote monitoring of physical quantities in multipoint locations placed on large geographical areas. The implementation solution of the module ensures high noise rejection and elevated data transmission speed under conditions of good spectral efficiency. Also, the architecture of the system is compatible with the code division multiple access technique allowing simultaneously transmission of signals from multiple sources without significant performance degradation.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124915343","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9041996
I. Bratosin, I. Pavaloiu, A. Vasilățeanu, Diana Gavajiuc, G. Dragoi, N. Goga
A serious issue in the medical field is the treatment of patients affected by chronic pain, burns or recovery treatment after an accident or surgery. The regular treatment is providing the patient with opioid pain relievers medications that in a wide variety of cases leads to addiction. To prevent the partial use of pain reducing drugs in patients that suffer from minor to medium pain and delay their use as much as possible, we propose the use of Virtual Reality technology. Current technological advances have allowed virtual reality application to leave their mark in the medical sector by the use of different training simulators and applications that help the doctors experience from simulating a variety of surgeries. In this paper we present the effects of Virtual Reality immersion on patients that suffer mild to medium pain, as well as our knowledge in the implementation of a virtual reality application that can achieve a positive effect on this serious issue. A direct benefit of successfully creating an application would be the reduction in the amount of pain the patient feels. A second positive effect would be the decrease in the consumption of pain relievers and a better response of the patient to the recovery treatment without the risk of becoming depended on opioids.
{"title":"Pain Relief using Virtual Reality","authors":"I. Bratosin, I. Pavaloiu, A. Vasilățeanu, Diana Gavajiuc, G. Dragoi, N. Goga","doi":"10.1109/ECAI46879.2019.9041996","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9041996","url":null,"abstract":"A serious issue in the medical field is the treatment of patients affected by chronic pain, burns or recovery treatment after an accident or surgery. The regular treatment is providing the patient with opioid pain relievers medications that in a wide variety of cases leads to addiction. To prevent the partial use of pain reducing drugs in patients that suffer from minor to medium pain and delay their use as much as possible, we propose the use of Virtual Reality technology. Current technological advances have allowed virtual reality application to leave their mark in the medical sector by the use of different training simulators and applications that help the doctors experience from simulating a variety of surgeries. In this paper we present the effects of Virtual Reality immersion on patients that suffer mild to medium pain, as well as our knowledge in the implementation of a virtual reality application that can achieve a positive effect on this serious issue. A direct benefit of successfully creating an application would be the reduction in the amount of pain the patient feels. A second positive effect would be the decrease in the consumption of pain relievers and a better response of the patient to the recovery treatment without the risk of becoming depended on opioids.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125046322","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042089
Olga Untila Kaplan
This study intends to understand and explain adaptation education to media in changing process in Turkey which is uttered with “media literacy” concept. The historical development of media literacy, is approached three different periods, determines the main parts of our study. It is possible to introduce the historical transformation of the past to the present media literacy education in Turkey with the evaluation of these concepts which emerged in “Traditional Media Literacy”, “Digital Media Literacy” and “Post-Digital Media Literacy” periods. The changing media process in each of these time segments and the changing media literacy equality is the only unknown to how to approach the media. Media literacy education, researched at different times, answers this question. With the help of descriptive and source scanning research methods used in the study, as well as to setting forth the paradigm of Turkey's media literacy, “changing user” which is unique to the periods mentioned above, draws the profile of the media literate.
{"title":"Media Literacy in a Changing Process in Turkey","authors":"Olga Untila Kaplan","doi":"10.1109/ECAI46879.2019.9042089","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042089","url":null,"abstract":"This study intends to understand and explain adaptation education to media in changing process in Turkey which is uttered with “media literacy” concept. The historical development of media literacy, is approached three different periods, determines the main parts of our study. It is possible to introduce the historical transformation of the past to the present media literacy education in Turkey with the evaluation of these concepts which emerged in “Traditional Media Literacy”, “Digital Media Literacy” and “Post-Digital Media Literacy” periods. The changing media process in each of these time segments and the changing media literacy equality is the only unknown to how to approach the media. Media literacy education, researched at different times, answers this question. With the help of descriptive and source scanning research methods used in the study, as well as to setting forth the paradigm of Turkey's media literacy, “changing user” which is unique to the periods mentioned above, draws the profile of the media literate.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123599251","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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