Pub Date : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604670
Alper Kerem, Nurettin Doğan, A. Yilmaz
Increasing CO2 and Greenhouse Gases (GHGs) are cause global warming to have an inevitable effect in today's world. To cope with this adverse impact, it is known that CO2 and GHG emissions should be reduced. The transportation sector represent a large portion of harmful gas emissions. With the increase in the number of Electric Vehicles (EV) in the transportation sector, it is aimed to completely remove fossil fuel vehicles from the market. In this way, it is estimated that CO2 and GHG emissions will be greatly reduced and the effect of these harmful gases in the transportation sector will reach a minimal level. However, it is known that the increase in the number of EV will cause some major problems in the form of harmonic generation in the distribution network, distortions in the voltage profile and transformer power losses. In addition, it is examined how short-circuit faults on the network side affect the voltage profile in the distribution network with the effect of the EV charging station. Thus, in this study, the effects of EV charging stations on the distribution network were examined on a scenario-based basis, and suggestions were presented for the solution of the negative effects. The results are given in tables and graphs.
{"title":"Scenario-based modeling of the effects of electric vehicle charging station on the grid","authors":"Alper Kerem, Nurettin Doğan, A. Yilmaz","doi":"10.1109/ISMSIT52890.2021.9604670","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604670","url":null,"abstract":"Increasing CO2 and Greenhouse Gases (GHGs) are cause global warming to have an inevitable effect in today's world. To cope with this adverse impact, it is known that CO2 and GHG emissions should be reduced. The transportation sector represent a large portion of harmful gas emissions. With the increase in the number of Electric Vehicles (EV) in the transportation sector, it is aimed to completely remove fossil fuel vehicles from the market. In this way, it is estimated that CO2 and GHG emissions will be greatly reduced and the effect of these harmful gases in the transportation sector will reach a minimal level. However, it is known that the increase in the number of EV will cause some major problems in the form of harmonic generation in the distribution network, distortions in the voltage profile and transformer power losses. In addition, it is examined how short-circuit faults on the network side affect the voltage profile in the distribution network with the effect of the EV charging station. Thus, in this study, the effects of EV charging stations on the distribution network were examined on a scenario-based basis, and suggestions were presented for the solution of the negative effects. The results are given in tables and graphs.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"97 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":"116812624","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/ISMSIT52890.2021.9604716
Mahmut Aykaç
In this study, we show that the effect of the modification on Karthaus-Fischer voltage multipliers for single band GSM RF energy harvesters. To be able to show that, we simulated both circuits for different conditions while assuming the load is purely resistive. Simulation results show that the Karthaus-Fischer voltage multiplier performs slightly better than the modified one in power efficiency but performs remarkably worse in current loading especially under low voltage and high output impedance conditions.
{"title":"Effect of the Modification on Karthaus-Fischer Voltage Multipliers for Single Band GSM RF Energy Harvesting","authors":"Mahmut Aykaç","doi":"10.1109/ISMSIT52890.2021.9604716","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604716","url":null,"abstract":"In this study, we show that the effect of the modification on Karthaus-Fischer voltage multipliers for single band GSM RF energy harvesters. To be able to show that, we simulated both circuits for different conditions while assuming the load is purely resistive. Simulation results show that the Karthaus-Fischer voltage multiplier performs slightly better than the modified one in power efficiency but performs remarkably worse in current loading especially under low voltage and high output impedance conditions.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"75 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":"122028656","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/ISMSIT52890.2021.9604582
Mustafa Maad Hamdi, L. Audah, S. Rashid, M. Abood, A. Mustafa, Mustafa Sabah Noori
In recent years, the need to implement effective systems to optimize vehicle traffic congestion problems in cities has increased due to the increase of vehicle nodes in the vehicle communication network. The recent developments in science have shown that much of the previous types focus on designing fuzzy systems of inference systems based on the model of vehicular congestion, which detects and minimizes congestion levels with much focus. However, VANET approaches to congestion management face many problems, including high delivery delays, inefficient use of services, insufficient bandwidth use, overhead connections, etc. In this paper, we propose a new framework to tackle the congestion management problem in VANET. This is achieved using a different algorithm (ABOGA and K-means). This work benefits from and combines each algorithm to produce a stable, high performance network.
{"title":"A hybrid Algorithms to Improve the Quality of Service in Vehicular Ad-Hoc Networks: A Framework","authors":"Mustafa Maad Hamdi, L. Audah, S. Rashid, M. Abood, A. Mustafa, Mustafa Sabah Noori","doi":"10.1109/ISMSIT52890.2021.9604582","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604582","url":null,"abstract":"In recent years, the need to implement effective systems to optimize vehicle traffic congestion problems in cities has increased due to the increase of vehicle nodes in the vehicle communication network. The recent developments in science have shown that much of the previous types focus on designing fuzzy systems of inference systems based on the model of vehicular congestion, which detects and minimizes congestion levels with much focus. However, VANET approaches to congestion management face many problems, including high delivery delays, inefficient use of services, insufficient bandwidth use, overhead connections, etc. In this paper, we propose a new framework to tackle the congestion management problem in VANET. This is achieved using a different algorithm (ABOGA and K-means). This work benefits from and combines each algorithm to produce a stable, high performance network.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"34 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":"124649566","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/ISMSIT52890.2021.9604589
Nur Syakirah Muhammad Zamri, N. M. Z. Hashim, A. S. Ja'afar, A. M. Darsono, M. J. A. Latif, Parathythasan Rajaandra
Stroke is one disease showing an increment trend as people live their lives in a stressful manner. Rehabilitation is one of the procedures to recover the patient to a normal condition. The rehabilitation process and activities require an extended period to retrain back the patient's capability, speak, listen, walk, etc. For this, a dedicated physiotherapy procedure was conducted according to the rehab trainer and expertise. One of the rehabilitations is to help the patient to have back their speaking skill and capability. The rehabilitation activities are generally conducted manually through manual listening and teaching the stroke patient periodically by the rehab trainer. The manual rehabilitation activities physically require the rehab trainer's presence, documentation, and manual data recording. This manual activity could be challenging when we face a lack of trainers and the situation of many patients with less trained in the field. Therefore, an intelligent system could be an alternative for rehabilitation to provide the user-friendly and straightforward technique to learn, repeat, and evaluate. In the paper, as the preliminary study, we proposed a smart vowel recognition for Malay Language using Convolutional Neural Network (CNN). We also proposed a new Malay Language dataset consist of 5 vowels, /a/, /e/, /i/, /o/ and /u/ for the use of future research. The result shows that the vowel recognition using this dataset is comparable and suitable for recognizing the vowel type.
{"title":"A Preliminary Study on Vowel Recognition via CNN for Disorder People in Malay Language","authors":"Nur Syakirah Muhammad Zamri, N. M. Z. Hashim, A. S. Ja'afar, A. M. Darsono, M. J. A. Latif, Parathythasan Rajaandra","doi":"10.1109/ISMSIT52890.2021.9604589","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604589","url":null,"abstract":"Stroke is one disease showing an increment trend as people live their lives in a stressful manner. Rehabilitation is one of the procedures to recover the patient to a normal condition. The rehabilitation process and activities require an extended period to retrain back the patient's capability, speak, listen, walk, etc. For this, a dedicated physiotherapy procedure was conducted according to the rehab trainer and expertise. One of the rehabilitations is to help the patient to have back their speaking skill and capability. The rehabilitation activities are generally conducted manually through manual listening and teaching the stroke patient periodically by the rehab trainer. The manual rehabilitation activities physically require the rehab trainer's presence, documentation, and manual data recording. This manual activity could be challenging when we face a lack of trainers and the situation of many patients with less trained in the field. Therefore, an intelligent system could be an alternative for rehabilitation to provide the user-friendly and straightforward technique to learn, repeat, and evaluate. In the paper, as the preliminary study, we proposed a smart vowel recognition for Malay Language using Convolutional Neural Network (CNN). We also proposed a new Malay Language dataset consist of 5 vowels, /a/, /e/, /i/, /o/ and /u/ for the use of future research. The result shows that the vowel recognition using this dataset is comparable and suitable for recognizing the vowel type.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"2016 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":"129437920","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/ISMSIT52890.2021.9604601
Ertugrul F. Savastaer, C. Tepe
In this study, a low cost single channel electrooculography (EOG) amplifier circuit and interface software have been created. This interface was created using the Python programming language. In this interface, EOG signals can be drawn and recorded in real time. These recorded signals can be redrawn later on offline interface. In addition, class information of blink, looking up and down eye movements was obtained through 3 warning lamps added to the interface. Thresholding method was used to classify these eye movements.Unlike the 2 channel EOG measurement circuits in the literature, a single channel EOG amplifier circuit was used in this study. Eye movements in vertical and horizontal planes with a small change in the electrode placement areas were visualized with this single channel amplifier circuit. The EOG signals received in response to these eye movements were compared with the signals received with 2 channel EOG amplifier circuits in the literature. There was little decrease in the amplitude values of the signals. However, there was no change in the general shape of the signals.
{"title":"Single Channel EOG Measurement System and Interface Design","authors":"Ertugrul F. Savastaer, C. Tepe","doi":"10.1109/ISMSIT52890.2021.9604601","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604601","url":null,"abstract":"In this study, a low cost single channel electrooculography (EOG) amplifier circuit and interface software have been created. This interface was created using the Python programming language. In this interface, EOG signals can be drawn and recorded in real time. These recorded signals can be redrawn later on offline interface. In addition, class information of blink, looking up and down eye movements was obtained through 3 warning lamps added to the interface. Thresholding method was used to classify these eye movements.Unlike the 2 channel EOG measurement circuits in the literature, a single channel EOG amplifier circuit was used in this study. Eye movements in vertical and horizontal planes with a small change in the electrode placement areas were visualized with this single channel amplifier circuit. The EOG signals received in response to these eye movements were compared with the signals received with 2 channel EOG amplifier circuits in the literature. There was little decrease in the amplitude values of the signals. However, there was no change in the general shape of the signals.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"140 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":"127551689","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/ISMSIT52890.2021.9604718
K. Alpan
Cervical cancers are very common and dangerous woman cancer which is caused from human papillomavirus. Transmission of this virus is happening during sexual intercourse and this cancer type is very common in low-income countries as condom usage rate is very low. This study is conducted to analyze performances of 8 different machine learning algorithms namely Bayesian Net, Naïve Bayes, J48, Random Tree, Random Forest, k-Nearest Neighbor, Logistic Regression and Support Vector Machine for classification of cancer and non-cancer patients. WEKA have been used as analyze tool. As a result of the study, it is stated that all applied algorithms could perform high accuracies while Support Vector Machine could reach to highest accuracy level with 91,67%.
{"title":"Performance Evaluation of Classification Algorithms for Early Detection of Behavior Determinant Based Cervical Cancer","authors":"K. Alpan","doi":"10.1109/ISMSIT52890.2021.9604718","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604718","url":null,"abstract":"Cervical cancers are very common and dangerous woman cancer which is caused from human papillomavirus. Transmission of this virus is happening during sexual intercourse and this cancer type is very common in low-income countries as condom usage rate is very low. This study is conducted to analyze performances of 8 different machine learning algorithms namely Bayesian Net, Naïve Bayes, J48, Random Tree, Random Forest, k-Nearest Neighbor, Logistic Regression and Support Vector Machine for classification of cancer and non-cancer patients. WEKA have been used as analyze tool. As a result of the study, it is stated that all applied algorithms could perform high accuracies while Support Vector Machine could reach to highest accuracy level with 91,67%.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"31 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":"122546746","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/ISMSIT52890.2021.9604746
Seda Kul, A. Sayar
In today's industrial and academic research area, the publish/subscribe (pub/sub) communication paradigm is gaining attention. Due to its capacity to decouple communication entities in time, space, and synchronization, it is a useful interaction mechanism for large-scale distributed systems. Rather than interacting directly with one another, services in the pub/sub pattern can communicate through a message broker. This approach separates the concerns of publishers and subscribers, allowing publishers to concentrate just on publishing and subscribers to concentrate solely on the publications to which they are subscribed. The resulting structure enables asynchronous message sending and receiving by a task-specific broker, which is one of the various approaches to construct event-based systems. Because of their unique qualities, including data-centricity, dynamicity, and many-to-many communications, the decoupling properties are well-suited for Microservices. Components of a monolithic application call each other using language-level method or function calls. A microservices-based application, on the other hand, is a distributed system that runs on numerous machines. Typically, each service instance is a process. There are numerous advantages to using the Microservices Architecture design. It begins by addressing the issue of complexity. It breaks down what would otherwise be a massive monolithic application into a series of services. While the overall functionality of the application has not changed, it has been divided into digestible parts or services. A significant disadvantage of microservices is the increased complexity that comes with being a distributed system. Developers must choose and implement a messaging or Remote procedure call-based interprocess communication mechanism. As a result, services must communicate through the interprocess communication (IPC) method. The Pub/Sub communication model, a powerful interprocess communication technique has been utilized in several studies. We examine the Pub/Sub interaction paradigm in the context of Communication for Microservices in this study.
{"title":"A Survey of Publish/Subscribe Middleware Systems for Microservice Communication","authors":"Seda Kul, A. Sayar","doi":"10.1109/ISMSIT52890.2021.9604746","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604746","url":null,"abstract":"In today's industrial and academic research area, the publish/subscribe (pub/sub) communication paradigm is gaining attention. Due to its capacity to decouple communication entities in time, space, and synchronization, it is a useful interaction mechanism for large-scale distributed systems. Rather than interacting directly with one another, services in the pub/sub pattern can communicate through a message broker. This approach separates the concerns of publishers and subscribers, allowing publishers to concentrate just on publishing and subscribers to concentrate solely on the publications to which they are subscribed. The resulting structure enables asynchronous message sending and receiving by a task-specific broker, which is one of the various approaches to construct event-based systems. Because of their unique qualities, including data-centricity, dynamicity, and many-to-many communications, the decoupling properties are well-suited for Microservices. Components of a monolithic application call each other using language-level method or function calls. A microservices-based application, on the other hand, is a distributed system that runs on numerous machines. Typically, each service instance is a process. There are numerous advantages to using the Microservices Architecture design. It begins by addressing the issue of complexity. It breaks down what would otherwise be a massive monolithic application into a series of services. While the overall functionality of the application has not changed, it has been divided into digestible parts or services. A significant disadvantage of microservices is the increased complexity that comes with being a distributed system. Developers must choose and implement a messaging or Remote procedure call-based interprocess communication mechanism. As a result, services must communicate through the interprocess communication (IPC) method. The Pub/Sub communication model, a powerful interprocess communication technique has been utilized in several studies. We examine the Pub/Sub interaction paradigm in the context of Communication for Microservices in this study.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"7 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":"117103481","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/ISMSIT52890.2021.9604529
Nadjette Benhamida, L. Bouallouche-Medjkoune, D. Aïssani
In the context of mobile computing, the cache memory technique turns out to be the most widely used and the most effective solution to improve several quantities, namely: (1) the bandwidth consumption, (2) the information availability, and (3) the node latency. particularly in the Internet of Things (IoT) environment, where objects have limited storage and computing capacities. However, this solution may cause some cache management issues, specifically data consistency and data replacement. In this paper, we strive to assess the relationship between the consistency mechanism’s performance and the implemented replacement strategy and determine whether they are correlated or not. Afterward, we focus on improving the caching consistency mechanism’s performance based on the Time To Live principle (TTL) using the IoT-Data lifetime and the data Variable-TTL. Therefore, two based-TTL consistency mechanisms were implemented and evaluated using three replacement strategies: LFU (Least Frequently Used), LRU (Least Recently Used), and LFRU (Least Frequently Recently Used). The simulation experiments show that the consistency mechanism performance strongly depends on the implemented replacement strategy, which can significantly improve the performance, particularly in terms of data availability and end-user latency. In addition, the relative frequency and the variable-TTL considerably improve the wireless mobile caching performance.
{"title":"Performance Enhancement of Cache Consistency Mechanism in Mobile Computing Environment","authors":"Nadjette Benhamida, L. Bouallouche-Medjkoune, D. Aïssani","doi":"10.1109/ISMSIT52890.2021.9604529","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604529","url":null,"abstract":"In the context of mobile computing, the cache memory technique turns out to be the most widely used and the most effective solution to improve several quantities, namely: (1) the bandwidth consumption, (2) the information availability, and (3) the node latency. particularly in the Internet of Things (IoT) environment, where objects have limited storage and computing capacities. However, this solution may cause some cache management issues, specifically data consistency and data replacement. In this paper, we strive to assess the relationship between the consistency mechanism’s performance and the implemented replacement strategy and determine whether they are correlated or not. Afterward, we focus on improving the caching consistency mechanism’s performance based on the Time To Live principle (TTL) using the IoT-Data lifetime and the data Variable-TTL. Therefore, two based-TTL consistency mechanisms were implemented and evaluated using three replacement strategies: LFU (Least Frequently Used), LRU (Least Recently Used), and LFRU (Least Frequently Recently Used). The simulation experiments show that the consistency mechanism performance strongly depends on the implemented replacement strategy, which can significantly improve the performance, particularly in terms of data availability and end-user latency. In addition, the relative frequency and the variable-TTL considerably improve the wireless mobile caching performance.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"32 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":"115249871","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/ISMSIT52890.2021.9604629
Falana William, Ali Serener, Sertan Serte
Lung illnesses like lung cancer, Covid-19 and pneumonia have in most cases deadly effects on humans if not immediately treated. In recent times, deep learning with medical imaging, like chest X-rays, has been used for diagnoses and to assist radiographers in several medical applications. In this paper, we investigate using deep learning architecture AlexNet the problem of classifying Covid-19, lung cancer and pneumonia medical images due to the similarities in medical chest X-rays imaging of the three diseases. The comparative results show that the classifier distinguishes Covid-19 from lung cancer with 94 percent accuracy, distinguishes Covid-19 from pneumonia with 96 percent accuracy, and also distinguishes lung cancer from pneumonia with 93 percent accuracy. Overall, AlexNet was able to distinguish Covid-19 from pneumonia with an excellent accuracy that is slightly better than the other two classifications.
{"title":"Deep learning classification of Covid-19, pneumonia, and lung cancer on chest radiographs","authors":"Falana William, Ali Serener, Sertan Serte","doi":"10.1109/ISMSIT52890.2021.9604629","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604629","url":null,"abstract":"Lung illnesses like lung cancer, Covid-19 and pneumonia have in most cases deadly effects on humans if not immediately treated. In recent times, deep learning with medical imaging, like chest X-rays, has been used for diagnoses and to assist radiographers in several medical applications. In this paper, we investigate using deep learning architecture AlexNet the problem of classifying Covid-19, lung cancer and pneumonia medical images due to the similarities in medical chest X-rays imaging of the three diseases. The comparative results show that the classifier distinguishes Covid-19 from lung cancer with 94 percent accuracy, distinguishes Covid-19 from pneumonia with 96 percent accuracy, and also distinguishes lung cancer from pneumonia with 93 percent accuracy. Overall, AlexNet was able to distinguish Covid-19 from pneumonia with an excellent accuracy that is slightly better than the other two classifications.","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":"115823171","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/ISMSIT52890.2021.9604732
Abdullah Ahmed Al-Dulaimi, Muhammet Tahir Güneşer, A. Hameed
Underground cables are affected by a many different factors, including the temperature distribution surrounding the cable, the depth of the cable, distances between the cables, the thermal resistivity of the soil, and the material the cable is backfilled. The study and analysis of these factors are exploited as much as possible to carry the maximum possible current through the power transmission cable. Calculations were made for single power cables with a flat configuration at a burial depth (0.8 and 1) meters, (0.8 and 1) km/w soil resistivity, (0.2 and 0.4 (meters)) distances between the cables, and two types of backfill materials: cement-sand mixture backfill (CSB) and thermal backfill for the Aluminum conductor. The proposed model can determine the temperature distribution in the soil, thermal backfill, and around cables. The results essentially show that appropriate thermal backfill, and spatial geometric characteristics are useful for reducing conductor temperature and securing a specific cost metric while being of exceptional importance to take full advantage of cable ampacity.
{"title":"Investigation of Thermal Modeling for Underground Cable Ampacity Under Different Conditions of Distances and Depths","authors":"Abdullah Ahmed Al-Dulaimi, Muhammet Tahir Güneşer, A. Hameed","doi":"10.1109/ISMSIT52890.2021.9604732","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604732","url":null,"abstract":"Underground cables are affected by a many different factors, including the temperature distribution surrounding the cable, the depth of the cable, distances between the cables, the thermal resistivity of the soil, and the material the cable is backfilled. The study and analysis of these factors are exploited as much as possible to carry the maximum possible current through the power transmission cable. Calculations were made for single power cables with a flat configuration at a burial depth (0.8 and 1) meters, (0.8 and 1) km/w soil resistivity, (0.2 and 0.4 (meters)) distances between the cables, and two types of backfill materials: cement-sand mixture backfill (CSB) and thermal backfill for the Aluminum conductor. The proposed model can determine the temperature distribution in the soil, thermal backfill, and around cables. The results essentially show that appropriate thermal backfill, and spatial geometric characteristics are useful for reducing conductor temperature and securing a specific cost metric while being of exceptional importance to take full advantage of cable ampacity.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"8 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":"132663202","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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