Pub Date : 2022-01-01DOI: 10.58245/ipsi.tir.22jr.04
Filip Vidojević, Dušan Džamić, M. Marić
In many real-life situations, data consists of entities and the connections between them, which are naturally described by a complex network (graph). The structure of the network is often such that it is possible to group nodes based on the existence of connections between them, where such groups are called clusters (communities, modules). If the nodes are allowed to partially belong to clusters, they are called fuzzy (overlapping) clusters. There is a huge number of algorithms in the literature that perform fuzzy clustering, that is finds overlapping clusters, so a mechanism is needed to evaluate such clustering. The function that assesses the quality of a performed clustering is called the cluster quality function. One of the latest proposed quality functions is the E-function. The E-function is based on a comparison of the internal structure of a cluster, i.e., the connection between nodes within a cluster and the connection of its nodes with the nodes of other clusters. Due to its exponential nature, the E-function is sensitive to small changes in the membership degrees to which the nodes belong to clusters. As such, it has shown good results in evaluating clustering on known data sets. In this paper, the experimental results that the modified E-function achieves in the case of overlapping clusters are presented. Also, some possibilities for fuzzy clustering by optimizing the E-function are displayed.
{"title":"E-function for Fuzzy Clustering in Complex Networks","authors":"Filip Vidojević, Dušan Džamić, M. Marić","doi":"10.58245/ipsi.tir.22jr.04","DOIUrl":"https://doi.org/10.58245/ipsi.tir.22jr.04","url":null,"abstract":"In many real-life situations, data consists of entities and the connections between them, which are naturally described by a complex network (graph). The structure of the network is often such that it is possible to group nodes based on the existence of connections between them, where such groups are called clusters (communities, modules). If the nodes are allowed to partially belong to clusters, they are called fuzzy (overlapping) clusters. There is a huge number of algorithms in the literature that perform fuzzy clustering, that is finds overlapping clusters, so a mechanism is needed to evaluate such clustering. The function that assesses the quality of a performed clustering is called the cluster quality function. One of the latest proposed quality functions is the E-function. The E-function is based on a comparison of the internal structure of a cluster, i.e., the connection between nodes within a cluster and the connection of its nodes with the nodes of other clusters. Due to its exponential nature, the E-function is sensitive to small changes in the membership degrees to which the nodes belong to clusters. As such, it has shown good results in evaluating clustering on known data sets. In this paper, the experimental results that the modified E-function achieves in the case of overlapping clusters are presented. Also, some possibilities for fuzzy clustering by optimizing the E-function are displayed.","PeriodicalId":41192,"journal":{"name":"IPSI BgD Transactions on Internet Research","volume":"10 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76501315","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 : 2022-01-01DOI: 10.58245/ipsi.tir.22jr.09
Jovana Nikolić, Aleksandar Atanasijević, A. Živić, T. Šušteršič, M. Ivanovic, N. Filipovic
SGABU platform was created as a computational platform for multiscale modelling in biomedical engineering. This is one of the few proposed integrated platforms that include different areas of bioengineering. The platform includes already developed solutions, various datasets and models related to cancer, cardiovascular, bone disorders, and tissue engineering. The biggest obstacle in designing a platform of this type is the use of different tools for each of the layers of architecture for models which are created using different technologies and their integration and visualization within a platform. This study describes the technologies that were used for building the platform and methods for data and models visualization. The goal was to build the most flexible system capable of executing tools of various nature and connecting them into a platform.
{"title":"Development of SGABU Platform for Multiscale Modeling","authors":"Jovana Nikolić, Aleksandar Atanasijević, A. Živić, T. Šušteršič, M. Ivanovic, N. Filipovic","doi":"10.58245/ipsi.tir.22jr.09","DOIUrl":"https://doi.org/10.58245/ipsi.tir.22jr.09","url":null,"abstract":"SGABU platform was created as a computational platform for multiscale modelling in biomedical engineering. This is one of the few proposed integrated platforms that include different areas of bioengineering. The platform includes already developed solutions, various datasets and models related to cancer, cardiovascular, bone disorders, and tissue engineering. The biggest obstacle in designing a platform of this type is the use of different tools for each of the layers of architecture for models which are created using different technologies and their integration and visualization within a platform. This study describes the technologies that were used for building the platform and methods for data and models visualization. The goal was to build the most flexible system capable of executing tools of various nature and connecting them into a platform.","PeriodicalId":41192,"journal":{"name":"IPSI BgD Transactions on Internet Research","volume":"15 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87401301","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 : 2022-01-01DOI: 10.58245/ipsi.tir.22jr.08
N. Radovanovic, Lazar Dašić, A. Blagojević, T. Šušteršič, Nenad Filipović
Cardiovascular disease (CVD) is one of the leading causes of death in urban areas. Carotid artery segmentation is the initial step in the automated diagnosis of carotid artery disease. The segmentation of carotid wall and lumen region boundaries are used as an essential part in assessing plaque morphology. In this paper, two types of Convolutional Neural Network (CNN) architectures are used for segmentation: U-Net and SegNet. The models used in this paper are applied on 257 ultrasound images containing a transverse section of the vessel acquired by ultrasound. Ultrasound imaging is noninvasive, completely unharming for the patient and a low-cost imaging method, but the main challenge when working with this kind of images is a very low signal to noise ratio and the process of imaging is highly dependent on the device operator. Different models are tested for various ranges of hyperparameter values and compared using different metrics. The model presented in this paper achieved over 94% Dice Coefficient for wall and lumen segmentation when trained during 100 epochs.
{"title":"Carotid Artery Segmentation Using Convolutional Neural Network in Ultrasound Images","authors":"N. Radovanovic, Lazar Dašić, A. Blagojević, T. Šušteršič, Nenad Filipović","doi":"10.58245/ipsi.tir.22jr.08","DOIUrl":"https://doi.org/10.58245/ipsi.tir.22jr.08","url":null,"abstract":"Cardiovascular disease (CVD) is one of the leading causes of death in urban areas. Carotid artery segmentation is the initial step in the automated diagnosis of carotid artery disease. The segmentation of carotid wall and lumen region boundaries are used as an essential part in assessing plaque morphology. In this paper, two types of Convolutional Neural Network (CNN) architectures are used for segmentation: U-Net and SegNet. The models used in this paper are applied on 257 ultrasound images containing a transverse section of the vessel acquired by ultrasound. Ultrasound imaging is noninvasive, completely unharming for the patient and a low-cost imaging method, but the main challenge when working with this kind of images is a very low signal to noise ratio and the process of imaging is highly dependent on the device operator. Different models are tested for various ranges of hyperparameter values and compared using different metrics. The model presented in this paper achieved over 94% Dice Coefficient for wall and lumen segmentation when trained during 100 epochs.","PeriodicalId":41192,"journal":{"name":"IPSI BgD Transactions on Internet Research","volume":"101 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79051494","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 : 2022-01-01DOI: 10.58245/ipsi.tir.22jr.03
César Bautista
At present, the development of self-driving car systems has been increasing. The need for man to control all possible scenarios has led to the inclusion of theories such as human perception. This means identifying how the human brain recognizes its environment and translating it into data that a machine can learn and make decisions. For this, great doubts have been generated concerning safety; in the present work, the Markovian model is implemented as a stochastic method in a constantly changing system. The model shows possible forms, future states' transitions rate of changes, and probabilities without depending on past states. Markovian models can also recognize patterns, make predictions, and learn sequential statistics.
{"title":"Markovian Model-Based Safety Analysis in Perception Systems Inside Self-Driving Cars","authors":"César Bautista","doi":"10.58245/ipsi.tir.22jr.03","DOIUrl":"https://doi.org/10.58245/ipsi.tir.22jr.03","url":null,"abstract":"At present, the development of self-driving car systems has been increasing. The need for man to control all possible scenarios has led to the inclusion of theories such as human perception. This means identifying how the human brain recognizes its environment and translating it into data that a machine can learn and make decisions. For this, great doubts have been generated concerning safety; in the present work, the Markovian model is implemented as a stochastic method in a constantly changing system. The model shows possible forms, future states' transitions rate of changes, and probabilities without depending on past states. Markovian models can also recognize patterns, make predictions, and learn sequential statistics.","PeriodicalId":41192,"journal":{"name":"IPSI BgD Transactions on Internet Research","volume":"184 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73243905","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 : 2022-01-01DOI: 10.58245/ipsi.tir.22jr.05
Edina Albininé Budavári, Zóltan Rajnai
The constant increase in the energy used by humanity is an extremely big problem. The introduction of efficient energy solutions will help alleviate the energy hunger caused by the problems. Examining energy balance can show systemically important factors influencing the system. Disruption of the system is also one of the factors influencing the energy balance. Social Engineering is a form of system disturbance that is covert and conscious system control. The present study examines the harmful energy effects of Social Engineering. The study is based on the combined model of cybernetic loop and social engineering, and the energy balance model of the systems. The energetic impact of social engineering is another reason to emphasize the importance of cyber defense.
{"title":"Energy Efficiency in the Control of System Disrupted by Social Engineering","authors":"Edina Albininé Budavári, Zóltan Rajnai","doi":"10.58245/ipsi.tir.22jr.05","DOIUrl":"https://doi.org/10.58245/ipsi.tir.22jr.05","url":null,"abstract":"The constant increase in the energy used by humanity is an extremely big problem. The introduction of efficient energy solutions will help alleviate the energy hunger caused by the problems. Examining energy balance can show systemically important factors influencing the system. Disruption of the system is also one of the factors influencing the energy balance. Social Engineering is a form of system disturbance that is covert and conscious system control. The present study examines the harmful energy effects of Social Engineering. The study is based on the combined model of cybernetic loop and social engineering, and the energy balance model of the systems. The energetic impact of social engineering is another reason to emphasize the importance of cyber defense.","PeriodicalId":41192,"journal":{"name":"IPSI BgD Transactions on Internet Research","volume":"25 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75988195","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 : 2022-01-01DOI: 10.58245/ipsi.tir.22jr.11
I. Šaveljić, S. Mačužić Saveljić, D. Nikolić, Smiljana Tomasevic, T. Djukić, N. Filipovic
The human body, as a complex biomechanical system, is daily exposed to oscillatory movements. Vibrations are observed as small displacements of points compared to the dimensions of the system. The body's sensitivity to vibration depends on many factors, such as body position, muscle tension, frequency, amplitude, and direction of vibration. Comfort is one of the important factors in the study of the quality of the vehicle. Exposure to vibrations over a long time can seriously and permanently damage some organs of the body. In this paper, the influence of vibrations on the lumbar part of the human body was investigated. Vibrations were determined experimentally while the vehicle was moving on the highway for the case of two different speeds. A 3D computer model of a lumbar spine was developed using CT scans. The acceleration values obtained by the experiment were the input values for the numerical analysis of the lumbar spine using the Ansys software package.
{"title":"Numerical Analysis of the Impact of Vibration on the Lumbar Spine of the Driver","authors":"I. Šaveljić, S. Mačužić Saveljić, D. Nikolić, Smiljana Tomasevic, T. Djukić, N. Filipovic","doi":"10.58245/ipsi.tir.22jr.11","DOIUrl":"https://doi.org/10.58245/ipsi.tir.22jr.11","url":null,"abstract":"The human body, as a complex biomechanical system, is daily exposed to oscillatory movements. Vibrations are observed as small displacements of points compared to the dimensions of the system. The body's sensitivity to vibration depends on many factors, such as body position, muscle tension, frequency, amplitude, and direction of vibration. Comfort is one of the important factors in the study of the quality of the vehicle. Exposure to vibrations over a long time can seriously and permanently damage some organs of the body. In this paper, the influence of vibrations on the lumbar part of the human body was investigated. Vibrations were determined experimentally while the vehicle was moving on the highway for the case of two different speeds. A 3D computer model of a lumbar spine was developed using CT scans. The acceleration values obtained by the experiment were the input values for the numerical analysis of the lumbar spine using the Ansys software package.","PeriodicalId":41192,"journal":{"name":"IPSI BgD Transactions on Internet Research","volume":"395 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76436346","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 : 2022-01-01DOI: 10.58245/ipsi.tir.22jr.10
Lazar Dašić, Nikola Radovanović, T. Šušteršič, A. Blagojević, Leo Benolić, N. Filipovic
Atherosclerotic plaque deposition within the coronary vessel wall leads to arterial stenosis and if not adequately treated, it may potentially have deteriorating consequences, such as a debilitating stroke, thus making early detection of the most importance. The manual plaque components annotation process is both time and resource consuming, therefore, an automatic and accurate segmentation tool is necessary. The main aim of this paper is to present the model for identification and segmentation of the atherosclerotic plaque components such as lipid core, fibrous and calcified tissue, by using Convolutional Neural Network on patch-based segments of ultrasound images. There was some research done on the topic of plaque components segmentation, but not in ultrasound imaging data. Due to the size of some plaque components being only a couple of millimeters, we argue that training a neural network on smaller image patches will perform better than a classifier based on the whole image. Besides the size of components, this decision is motivated by the observation that plaque components are not uniformly distributed throughout the whole carotid wall and that a locality-sensitive segmentation is likely to obtain better segmentation accuracy. Our model achieved good results in the segmentation of fibrous tissue but had difficulties in the segmentation of lipid and calcified tissue due to the quality of ultrasound images.
{"title":"Patch-based Convolutional Neural Network for Atherosclerotic Carotid Plaque Semantic Segmentation","authors":"Lazar Dašić, Nikola Radovanović, T. Šušteršič, A. Blagojević, Leo Benolić, N. Filipovic","doi":"10.58245/ipsi.tir.22jr.10","DOIUrl":"https://doi.org/10.58245/ipsi.tir.22jr.10","url":null,"abstract":"Atherosclerotic plaque deposition within the coronary vessel wall leads to arterial stenosis and if not adequately treated, it may potentially have deteriorating consequences, such as a debilitating stroke, thus making early detection of the most importance. The manual plaque components annotation process is both time and resource consuming, therefore, an automatic and accurate segmentation tool is necessary. The main aim of this paper is to present the model for identification and segmentation of the atherosclerotic plaque components such as lipid core, fibrous and calcified tissue, by using Convolutional Neural Network on patch-based segments of ultrasound images. There was some research done on the topic of plaque components segmentation, but not in ultrasound imaging data. Due to the size of some plaque components being only a couple of millimeters, we argue that training a neural network on smaller image patches will perform better than a classifier based on the whole image. Besides the size of components, this decision is motivated by the observation that plaque components are not uniformly distributed throughout the whole carotid wall and that a locality-sensitive segmentation is likely to obtain better segmentation accuracy. Our model achieved good results in the segmentation of fibrous tissue but had difficulties in the segmentation of lipid and calcified tissue due to the quality of ultrasound images.","PeriodicalId":41192,"journal":{"name":"IPSI BgD Transactions on Internet Research","volume":"83 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78102931","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 : 2022-01-01DOI: 10.58245/ipsi.tir.22jr.06
V. Katić
The application of solar energy and other renewable energy sources (wind, hydro, etc.) enables the connection of low-power electrical energy generation units to the grid. This new concept called distributed energy generation, provides opportunities to separate parts of existing distribution networks into smaller units, i.e., microgrids, which can be self-sufficient and sustainable for shorter or longer periods. In a smart grid environment, efficient usage of energy and better consumer energy supply is possible, especially in cases of failures in the main grid. This paper presents a method for the assessment of possible rooftop PV system power capacity in a smart city. Special attention will be paid to the generation units coming from renewable energy (solar) and the possibility of supplying existing loads. As a case study, the results of a hypothetical project on the possibility of PV solar energy application for the electricity supply in some cities in Serbia are presented.
{"title":"PV Solar Energy Supply in Smart Cities","authors":"V. Katić","doi":"10.58245/ipsi.tir.22jr.06","DOIUrl":"https://doi.org/10.58245/ipsi.tir.22jr.06","url":null,"abstract":"The application of solar energy and other renewable energy sources (wind, hydro, etc.) enables the connection of low-power electrical energy generation units to the grid. This new concept called distributed energy generation, provides opportunities to separate parts of existing distribution networks into smaller units, i.e., microgrids, which can be self-sufficient and sustainable for shorter or longer periods. In a smart grid environment, efficient usage of energy and better consumer energy supply is possible, especially in cases of failures in the main grid. This paper presents a method for the assessment of possible rooftop PV system power capacity in a smart city. Special attention will be paid to the generation units coming from renewable energy (solar) and the possibility of supplying existing loads. As a case study, the results of a hypothetical project on the possibility of PV solar energy application for the electricity supply in some cities in Serbia are presented.","PeriodicalId":41192,"journal":{"name":"IPSI BgD Transactions on Internet Research","volume":"35 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89198840","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 : 2022-01-01DOI: 10.58245/ipsi.tir.22jr.07
Miloš Anić, M. Milošević, D. Nikolić, B. Milićević, Vladimir Geroski, M. Kojic, Gordana R. Jovicic, N. Filipovic
Development of plaques compositions caused by atherosclerosis inside of coronary arteries is known as coronary artery disease. Its treatment includes the possibility of stent deployment through operation called percutaneous transluminal coronary angioplasty. In this procedure stent is delivered using a balloon catheter and then inserted across the lesion. The new stent design development or optimization of existing ones requires the performance of many expensive mechanical tests which are always followed by their time-consuming analysis. Thus, the possibility of those tests to be performed on computer, i.e., in-silico, instead of in reality, i.e. invitro could remove the necessity of a greater number of in-vitro tests. With in-silico mechanical testing the analysis of all mechanical characteristics could be performed which would drastically decrease both the time and the expenses of the process and even gives the possibility to compare two or more designs. In this study, recently introduced material model of PolyL-Lactic Acid (PLLA) fully bioresorbable vascular scaffold and recently accredited numerical InSilc platform were used to perform in-silico mechanical tests on different stent designs that have different geometrical and material characteristics. In-silico tests include radial compression (RCI), inflation, three-point bending and two plate crush test whose results could provide well-grounded conclusions and thus a notable contribution in stent design and optimization.
{"title":"Computational Modeling for Mechanical Testing of Bioresorbable Stents","authors":"Miloš Anić, M. Milošević, D. Nikolić, B. Milićević, Vladimir Geroski, M. Kojic, Gordana R. Jovicic, N. Filipovic","doi":"10.58245/ipsi.tir.22jr.07","DOIUrl":"https://doi.org/10.58245/ipsi.tir.22jr.07","url":null,"abstract":"Development of plaques compositions caused by atherosclerosis inside of coronary arteries is known as coronary artery disease. Its treatment includes the possibility of stent deployment through operation called percutaneous transluminal coronary angioplasty. In this procedure stent is delivered using a balloon catheter and then inserted across the lesion. The new stent design development or optimization of existing ones requires the performance of many expensive mechanical tests which are always followed by their time-consuming analysis. Thus, the possibility of those tests to be performed on computer, i.e., in-silico, instead of in reality, i.e. invitro could remove the necessity of a greater number of in-vitro tests. With in-silico mechanical testing the analysis of all mechanical characteristics could be performed which would drastically decrease both the time and the expenses of the process and even gives the possibility to compare two or more designs. In this study, recently introduced material model of PolyL-Lactic Acid (PLLA) fully bioresorbable vascular scaffold and recently accredited numerical InSilc platform were used to perform in-silico mechanical tests on different stent designs that have different geometrical and material characteristics. In-silico tests include radial compression (RCI), inflation, three-point bending and two plate crush test whose results could provide well-grounded conclusions and thus a notable contribution in stent design and optimization.","PeriodicalId":41192,"journal":{"name":"IPSI BgD Transactions on Internet Research","volume":"24 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74805456","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 : 2022-01-01DOI: 10.58245/ipsi.tir.22jr.02
László Berek
The threat to online scientific communication from predatory publishers and journals is now 10 years old. Its recognition and emergence in the literature date back to 2012. The paper summarizes past and present knowledge about the threat to online scholarly communication: the activities of predatory journals and publishers. In this study, the first-round mapping of publications on this topic was carried out using the Scopus and Web of Science databases. This study is the first step of a literature review in search of possible solutions to this issue.
掠夺性出版商和期刊对在线科学传播的威胁现在已经有10年了。它在文献中的认识和出现可以追溯到2012年。本文总结了过去和现在关于在线学术交流威胁的知识:掠夺性期刊和出版商的活动。在本研究中,使用Scopus和Web of Science数据库对该主题的出版物进行了第一轮映射。本研究是文献综述的第一步,旨在寻找解决这一问题的可能方法。
{"title":"A Decade of Predatory Journals with an Overview of the Literature","authors":"László Berek","doi":"10.58245/ipsi.tir.22jr.02","DOIUrl":"https://doi.org/10.58245/ipsi.tir.22jr.02","url":null,"abstract":"The threat to online scientific communication from predatory publishers and journals is now 10 years old. Its recognition and emergence in the literature date back to 2012. The paper summarizes past and present knowledge about the threat to online scholarly communication: the activities of predatory journals and publishers. In this study, the first-round mapping of publications on this topic was carried out using the Scopus and Web of Science databases. This study is the first step of a literature review in search of possible solutions to this issue.","PeriodicalId":41192,"journal":{"name":"IPSI BgD Transactions on Internet Research","volume":"1 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87759851","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}