Pub Date : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604671
N. Valov, Tsvetelina Mladenova, Irena Valova
In this paper the smart animal farming problems are discussed. The offered on the market devices and sensors, which are used for monitoring and collecting data on the sensation and daily habits of the animals, are considered and analysed. Precise farming and the use of IoT offers a new and different way of farming. Data collection from each individual animal allows for individual care to be taken or individual way of farming the animals rather than the compulsory farming of a group or a herd. It achieves much more careful monitoring and more precise control over the farming. The main aim of these technologies is still using resources effectively which currently means that they are only used when, where and as much as needed. Software developers can create specialised apps on the bases of the data from these sensors and data collection devices that allow for data sharing and use from multiple different farms, data analysis and suggestions, tips and solutions for specific problems. This can be incredibly useful to prevent large disease hotspots by using the collected and analysed shared data to find early signs of the disease. Apart from data, these apps typically allow sharing photos, reports, warnings, questions and discussions between the farmers.
{"title":"IoT and big data in animal farming","authors":"N. Valov, Tsvetelina Mladenova, Irena Valova","doi":"10.1109/ISMSIT52890.2021.9604671","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604671","url":null,"abstract":"In this paper the smart animal farming problems are discussed. The offered on the market devices and sensors, which are used for monitoring and collecting data on the sensation and daily habits of the animals, are considered and analysed. Precise farming and the use of IoT offers a new and different way of farming. Data collection from each individual animal allows for individual care to be taken or individual way of farming the animals rather than the compulsory farming of a group or a herd. It achieves much more careful monitoring and more precise control over the farming. The main aim of these technologies is still using resources effectively which currently means that they are only used when, where and as much as needed. Software developers can create specialised apps on the bases of the data from these sensors and data collection devices that allow for data sharing and use from multiple different farms, data analysis and suggestions, tips and solutions for specific problems. This can be incredibly useful to prevent large disease hotspots by using the collected and analysed shared data to find early signs of the disease. Apart from data, these apps typically allow sharing photos, reports, warnings, questions and discussions between the farmers.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117157429","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604621
Yunus Emre Kar, Arif Basgumus, Mustafa Namdar
In this study, image processing is performed on the data received from the camera using the machine learning training model, and mature agricultural products are detected using image processing libraries. In addition, the location information of the product is transmitted to the motors by serial communication, and the product is collected with the help of robot arm movements, which are realized thanks to mathematical models. With the help of the developed mobile application interface, the user will be able to add new workspaces and collect vegetables autonomously on the previously saved areas. The software, which was developed to act autonomously, was originally designed using data from distance sensors and the mobile application. The user can easily ensure that the vehicle can collect one or more types of vegetables by using the mobile application interface. In this study, tests were carried out in terms of speed and accuracy by using different models for the mature product collection process with the designed machine learning and image processing based autonomous vehicle.
{"title":"Machine Learning Assisted Autonomous Vehicle Design and Control","authors":"Yunus Emre Kar, Arif Basgumus, Mustafa Namdar","doi":"10.1109/ISMSIT52890.2021.9604621","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604621","url":null,"abstract":"In this study, image processing is performed on the data received from the camera using the machine learning training model, and mature agricultural products are detected using image processing libraries. In addition, the location information of the product is transmitted to the motors by serial communication, and the product is collected with the help of robot arm movements, which are realized thanks to mathematical models. With the help of the developed mobile application interface, the user will be able to add new workspaces and collect vegetables autonomously on the previously saved areas. The software, which was developed to act autonomously, was originally designed using data from distance sensors and the mobile application. The user can easily ensure that the vehicle can collect one or more types of vegetables by using the mobile application interface. In this study, tests were carried out in terms of speed and accuracy by using different models for the mature product collection process with the designed machine learning and image processing based autonomous vehicle.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"81 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120979669","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604683
F. William, Ali Serener, Sertan Serte
The recent Coronavirus pandemic that affected every part of our society has been spreading rapidly due to its high infectious rate. Covid-19 is an illness that affects the respiratory system and its early symptoms include tiredness, cough and fever. It is generally diagnosed using reverse transcription-polymerase chain reaction (RT-PCR), and in some cases using computed tomography (CT) scans or radiography. However, the similarities in medical image structure of Covid-19 and lung cancer can lead to wrong treatment approaches. In this paper, the aim is to investigate if a deep learning model, specifically AlexNet, can accurately distinguish between lung cancer and Covid-19 from their CT and X-ray images. During this analysis, we carried out 3 different analyses, which included the classification of Covid-19 and lung cancer CT images, Covid-19 and lung cancer X-rays, and Covid-19 and lung cancer CT and X-rays. The results clearly demonstrated that deep learning was able to distinguish Covid-19 and lung cancer with very high accuracy from the CT images in comparison to X-ray and multimodal imaging. However, there was really no significant improvement as a result of multimodal imaging.
{"title":"Effect of multimodal imaging on Covid-19 and lung cancer classification via deep learning","authors":"F. William, Ali Serener, Sertan Serte","doi":"10.1109/ISMSIT52890.2021.9604683","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604683","url":null,"abstract":"The recent Coronavirus pandemic that affected every part of our society has been spreading rapidly due to its high infectious rate. Covid-19 is an illness that affects the respiratory system and its early symptoms include tiredness, cough and fever. It is generally diagnosed using reverse transcription-polymerase chain reaction (RT-PCR), and in some cases using computed tomography (CT) scans or radiography. However, the similarities in medical image structure of Covid-19 and lung cancer can lead to wrong treatment approaches. In this paper, the aim is to investigate if a deep learning model, specifically AlexNet, can accurately distinguish between lung cancer and Covid-19 from their CT and X-ray images. During this analysis, we carried out 3 different analyses, which included the classification of Covid-19 and lung cancer CT images, Covid-19 and lung cancer X-rays, and Covid-19 and lung cancer CT and X-rays. The results clearly demonstrated that deep learning was able to distinguish Covid-19 and lung cancer with very high accuracy from the CT images in comparison to X-ray and multimodal imaging. However, there was really no significant improvement as a result of multimodal imaging.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125884631","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604632
Berke Mirac, Alperen Kılıç
DC motors are used in many industrial applications for precise speed and position control. However, load ripples and external effects on DC motor speed seriously affect system stability and efficiency. This study aims to keep DC motor speed in the reference value constant by determining the optimum PID controller parameters (Kp, Ki, and Kd). PID parameters were estimated using the traditional Ziegler Nichols method and meta-heuristic Genetic and Grey Wolf Optimization Algorithms. The Gear DC motor experimental setup was controlled with STM32F4 microcontroller using Waijung Blockset in MATLAB-Simulink. The results of the three algorithms were compared, and it has been seen that the Grey Wolf algorithm gave the best results in overshoot, settling time, rise time, and steady-state error.
{"title":"Assessment of Several PID Controllers Applied to DC Motors","authors":"Berke Mirac, Alperen Kılıç","doi":"10.1109/ISMSIT52890.2021.9604632","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604632","url":null,"abstract":"DC motors are used in many industrial applications for precise speed and position control. However, load ripples and external effects on DC motor speed seriously affect system stability and efficiency. This study aims to keep DC motor speed in the reference value constant by determining the optimum PID controller parameters (Kp, Ki, and Kd). PID parameters were estimated using the traditional Ziegler Nichols method and meta-heuristic Genetic and Grey Wolf Optimization Algorithms. The Gear DC motor experimental setup was controlled with STM32F4 microcontroller using Waijung Blockset in MATLAB-Simulink. The results of the three algorithms were compared, and it has been seen that the Grey Wolf algorithm gave the best results in overshoot, settling time, rise time, and steady-state error.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126129872","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604622
Senanur Düzenli, Jiyan Sürer, A. Tabak
In micro-robotics, micromanipulation can be utilized via diverse strategies for the trapping, selection, and manipulation of microparticles especially in biomedical applications. One of the most encountered problems in the research studies is the deformation or damage that might be caused by the micro object. The non-contact micromanipulation methods that are proposed in the literature aim to suggest efficient solutions to limit the deforming effects. These methods can be categorized based on the technique used in the system. The utilization of hydrodynamic forces is one of the most promising techniques in the literature. However, the numerical analysis and the dynamic performance predictions of these systems are often omitted. This study tries a new approach with a robotic-modeling-based comprehensive mathematical model to hydrodynamic interaction and the performance simulation of the orbital characterization of a hydrodynamic micro-tweezers system. Furthermore, we demonstrate the performance of a micro tweezers system on a particular active particle, i.e., E. Coli minicell. The system consists of a magnetic spherical particle submerged in an aqueous environment, rotating by the effects of the external magnetic field resulting in a free vortex. In return, the vortex is employed to trap the said active particle.
{"title":"Orbital Characterization Study for the Hydrodynamic Micro Tweezers: Simulated Performance with an Active Particle","authors":"Senanur Düzenli, Jiyan Sürer, A. Tabak","doi":"10.1109/ISMSIT52890.2021.9604622","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604622","url":null,"abstract":"In micro-robotics, micromanipulation can be utilized via diverse strategies for the trapping, selection, and manipulation of microparticles especially in biomedical applications. One of the most encountered problems in the research studies is the deformation or damage that might be caused by the micro object. The non-contact micromanipulation methods that are proposed in the literature aim to suggest efficient solutions to limit the deforming effects. These methods can be categorized based on the technique used in the system. The utilization of hydrodynamic forces is one of the most promising techniques in the literature. However, the numerical analysis and the dynamic performance predictions of these systems are often omitted. This study tries a new approach with a robotic-modeling-based comprehensive mathematical model to hydrodynamic interaction and the performance simulation of the orbital characterization of a hydrodynamic micro-tweezers system. Furthermore, we demonstrate the performance of a micro tweezers system on a particular active particle, i.e., E. Coli minicell. The system consists of a magnetic spherical particle submerged in an aqueous environment, rotating by the effects of the external magnetic field resulting in a free vortex. In return, the vortex is employed to trap the said active particle.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125362346","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604674
Filiz Al-Shanableh, Muhammed Al Shanableh, Ali Evcil, M. Savaş
Metallic orthopedic fixation implants are devices which are used to accelerate the healing process of bones after fractures. Fixation implants may fail within short period of time because of the fatigue mechanism when they are improperly installed and subjected to cyclic loads. Since replacing failed implant places emotional, physiological, and economic burden on the patient, a failure analysis can be carried out to understand causes and the mechanisms of the implant fracture that would help to develop better implant devices.In this study, an orthopedic fixation implant (compression plate) made of 316L stainless steel that failed prematurely was examined for determining the basic mechanism/s responsible for the fracture. Fixation implant that was mounted to a broken right femur of a 22-year-old male patient was prematurely failed by fracture after seven months of installation. Failed implant was examined visually and metallographically to analyze the failure mechanism and its cause(s). The results of the surface topology showed that fixation implant was failed due to low energy fracture behavior of fatigue and cleavage mechanism due to post operational malpractice without any deterioration by corrosion.
{"title":"Failure investigation of a prematurely fractured stainless steel bone fixation implant","authors":"Filiz Al-Shanableh, Muhammed Al Shanableh, Ali Evcil, M. Savaş","doi":"10.1109/ISMSIT52890.2021.9604674","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604674","url":null,"abstract":"Metallic orthopedic fixation implants are devices which are used to accelerate the healing process of bones after fractures. Fixation implants may fail within short period of time because of the fatigue mechanism when they are improperly installed and subjected to cyclic loads. Since replacing failed implant places emotional, physiological, and economic burden on the patient, a failure analysis can be carried out to understand causes and the mechanisms of the implant fracture that would help to develop better implant devices.In this study, an orthopedic fixation implant (compression plate) made of 316L stainless steel that failed prematurely was examined for determining the basic mechanism/s responsible for the fracture. Fixation implant that was mounted to a broken right femur of a 22-year-old male patient was prematurely failed by fracture after seven months of installation. Failed implant was examined visually and metallographically to analyze the failure mechanism and its cause(s). The results of the surface topology showed that fixation implant was failed due to low energy fracture behavior of fatigue and cleavage mechanism due to post operational malpractice without any deterioration by corrosion.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"374 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126719083","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604655
Nishi Patel, H. Wimmer, Carl M. Rebman
Bluetooth devices can be compromised in various ways, which can lead to significant loss of data. In most cases hackers opt for denial service attacks, eavesdropping, resource misappropriation, and message modification. All these bear significant threats in terms of tampering with user data. In the evaluation, this paper used the Kali Linux platform and third-party system tools to test four Bluetooth compromise processes (Bluejacking, bluesmacking, bluesnarfing, and social engineering) on three different Bluetooth devices (HMDX Jam speaker, iPhone 6, and Nexus 7. The results revealed that hackers can execute the attacks without much effort and consequently tamper with information within the system. This paper also investigated how users could implement various protocols to secure their devices to limit the possibility of incurring intrusions from hackers.
{"title":"Investigating Bluetooth Vulnerabilities to Defend from Attacks","authors":"Nishi Patel, H. Wimmer, Carl M. Rebman","doi":"10.1109/ISMSIT52890.2021.9604655","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604655","url":null,"abstract":"Bluetooth devices can be compromised in various ways, which can lead to significant loss of data. In most cases hackers opt for denial service attacks, eavesdropping, resource misappropriation, and message modification. All these bear significant threats in terms of tampering with user data. In the evaluation, this paper used the Kali Linux platform and third-party system tools to test four Bluetooth compromise processes (Bluejacking, bluesmacking, bluesnarfing, and social engineering) on three different Bluetooth devices (HMDX Jam speaker, iPhone 6, and Nexus 7. The results revealed that hackers can execute the attacks without much effort and consequently tamper with information within the system. This paper also investigated how users could implement various protocols to secure their devices to limit the possibility of incurring intrusions from hackers.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127022393","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604735
Lamir Shkurti, Azir Aliu, Faton Kabashi
In this paper we proposed system to monitor indoor air quality in gymnasium "Gjon Buzuku" advanced secondary School. This proposed system will collect indoor air quality information via sensors using IoT (Internet of Things) and save it to the database using web API. The information collected will be able to be monitored from anywhere via the web and smartphones in real-time. Also, we analyze indoor air quality (IAQ) in school classrooms in Gymnasium "Gjon Buzuku", Prizren. In detail, we try to investigate the differences in IAQ parameters when students were at school and when they were not. We have installed IAQ sensors nodes at school and have collected 18,608 observations for 14 days from Jun-14th to Jun-27th, 2021. We have tested the correlation among all variables and correlation analysis showed that all variables are correlated with each other. Using regression analysis, we have empirically tested that temperature can decrease the humidity level. Finally, we tested the differences between days when students were at school and when students were not, consequently when windows were opened during the day’s students were at school and when windows were closed during the days when students were not at school. The results of the independent sample t-test confirmed the differences in all IAQ parameters according to whether windows were opened or closed.
{"title":"IoT based Indoor Air Quality Monitoring System to Improve the Health of Students in Gymnasium \"Gjon Buzuku\" Prizren","authors":"Lamir Shkurti, Azir Aliu, Faton Kabashi","doi":"10.1109/ISMSIT52890.2021.9604735","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604735","url":null,"abstract":"In this paper we proposed system to monitor indoor air quality in gymnasium \"Gjon Buzuku\" advanced secondary School. This proposed system will collect indoor air quality information via sensors using IoT (Internet of Things) and save it to the database using web API. The information collected will be able to be monitored from anywhere via the web and smartphones in real-time. Also, we analyze indoor air quality (IAQ) in school classrooms in Gymnasium \"Gjon Buzuku\", Prizren. In detail, we try to investigate the differences in IAQ parameters when students were at school and when they were not. We have installed IAQ sensors nodes at school and have collected 18,608 observations for 14 days from Jun-14th to Jun-27th, 2021. We have tested the correlation among all variables and correlation analysis showed that all variables are correlated with each other. Using regression analysis, we have empirically tested that temperature can decrease the humidity level. Finally, we tested the differences between days when students were at school and when students were not, consequently when windows were opened during the day’s students were at school and when windows were closed during the days when students were not at school. The results of the independent sample t-test confirmed the differences in all IAQ parameters according to whether windows were opened or closed.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"227 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116112854","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604569
Mirena Todorova – Ekmekci
This research presents how innovative technologies, software and digital media and tools can be used for recreation, presentation, preservation, dissemination, promotion and even enhanced experiencing of valuable cultural heritage. New innovative technologies and tools are described in a systematic order with concrete examples - digital multimedia and interactive sites and platforms for cultural heritage, digitalizing, gathering and searching valuable cultural content in an interactive digital collection, digital library or collaborative repository, digital virtual content and tours, virtual reality and augmented virtual reality applications in the cultural heritage field, virtual simulations and recreations, 3D models, interactive desktop display technologies, storytelling via robots and digital multimedia, smart educational games. A variety of innovative and digital tools are used and case study examples are described. Huge quantities of big data and archive data bases from different sources can be gathered, stored, analyzed, enriched, searched and presented online, in order to access, perceive, preserve and promote easier cultural heritage and improve and develop the cultural heritage field and experience.
{"title":"Using Innovative Technologies, Digital Media and Site Tools For Presentation and Sustainable Preservation of Cultural Heritage","authors":"Mirena Todorova – Ekmekci","doi":"10.1109/ISMSIT52890.2021.9604569","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604569","url":null,"abstract":"This research presents how innovative technologies, software and digital media and tools can be used for recreation, presentation, preservation, dissemination, promotion and even enhanced experiencing of valuable cultural heritage. New innovative technologies and tools are described in a systematic order with concrete examples - digital multimedia and interactive sites and platforms for cultural heritage, digitalizing, gathering and searching valuable cultural content in an interactive digital collection, digital library or collaborative repository, digital virtual content and tours, virtual reality and augmented virtual reality applications in the cultural heritage field, virtual simulations and recreations, 3D models, interactive desktop display technologies, storytelling via robots and digital multimedia, smart educational games. A variety of innovative and digital tools are used and case study examples are described. Huge quantities of big data and archive data bases from different sources can be gathered, stored, analyzed, enriched, searched and presented online, in order to access, perceive, preserve and promote easier cultural heritage and improve and develop the cultural heritage field and experience.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122414161","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604757
I. Cil, Fahri Arisoy, Hilal Kilinc, Ekrem Özgürbüz, A. Cil, Erkan Uysal
The new trend, Industry 4.0 (I 4.0), forces all institutions to undergo a new transformation in order to gain an advantage. This development, as well as dynamic and very complex shipyard sites, are no exception to adapt to the changing new situation in the implementation of the I 4.0 principles. In this respect, shipyards need to carefully and comprehensively evaluate the challenges and opportunities they may encounter while adapting to this new situation. The capabilities, problems, competition and economic conditions of each shipyard are unique to them. For this reason, both the transformation process to be followed and the projects to be implemented will be unique. In this direction, projects in accordance with the principles of I 4.0 have been implemented in some shipyards and the I 4.0-transformation process has been initiated. In this article, SEDEF shipyard, the leading shipyard in Turkey, has started to implement a number of projects within the scope of I 4.0. In this article, a case study is presented about the projects that were started to be realized at SEDEF Shipyard after evaluating the opportunities and challenges presented by the shipyard sector within the scope of Industry 4.0 transformation.
{"title":"Challenges and Trends in Shipbuilding Industry: Digitization of SEDEF Shipyard in Turkey","authors":"I. Cil, Fahri Arisoy, Hilal Kilinc, Ekrem Özgürbüz, A. Cil, Erkan Uysal","doi":"10.1109/ISMSIT52890.2021.9604757","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604757","url":null,"abstract":"The new trend, Industry 4.0 (I 4.0), forces all institutions to undergo a new transformation in order to gain an advantage. This development, as well as dynamic and very complex shipyard sites, are no exception to adapt to the changing new situation in the implementation of the I 4.0 principles. In this respect, shipyards need to carefully and comprehensively evaluate the challenges and opportunities they may encounter while adapting to this new situation. The capabilities, problems, competition and economic conditions of each shipyard are unique to them. For this reason, both the transformation process to be followed and the projects to be implemented will be unique. In this direction, projects in accordance with the principles of I 4.0 have been implemented in some shipyards and the I 4.0-transformation process has been initiated. In this article, SEDEF shipyard, the leading shipyard in Turkey, has started to implement a number of projects within the scope of I 4.0. In this article, a case study is presented about the projects that were started to be realized at SEDEF Shipyard after evaluating the opportunities and challenges presented by the shipyard sector within the scope of Industry 4.0 transformation.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129241138","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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