Pub Date : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932909
Argyrios Sideris, Theodora Sanida, Antonios Chatzisavvas, Michael F. Dossis, M. Dasygenis
Transmitting images between people has been a crucial aspect of daily communication in our digital world. Therefore, methods are needed to check the integrity and accuracy of the transmitted data. The most famous and secure way today is hashing. This paper focuses on the Keccak algorithm for hashing image sizes $256times 256$ pixels utilizing our specialized FPGA implementations. Our experiments were performed on the FPGA Intel DE2-115 (EP4CE115F29C7) and the Nios II microprocessor. Additionally, research on computational metrics like throughput, entropy, NPCR, and UACI demonstrates how the Keccak algorithm is specialized, secure, and has a wide range of potential applications for hashing images. Finally, we propped our method using the Block Floating Point Hardware 2 (FP2). We contrasted the outcomes of our analysis with other recent optimization techniques used by other researchers, and the results demonstrate our advantages.
{"title":"High Throughput of Image Processing with Keccak Algorithm using Microprocessor on FPGA","authors":"Argyrios Sideris, Theodora Sanida, Antonios Chatzisavvas, Michael F. Dossis, M. Dasygenis","doi":"10.1109/SEEDA-CECNSM57760.2022.9932909","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932909","url":null,"abstract":"Transmitting images between people has been a crucial aspect of daily communication in our digital world. Therefore, methods are needed to check the integrity and accuracy of the transmitted data. The most famous and secure way today is hashing. This paper focuses on the Keccak algorithm for hashing image sizes $256times 256$ pixels utilizing our specialized FPGA implementations. Our experiments were performed on the FPGA Intel DE2-115 (EP4CE115F29C7) and the Nios II microprocessor. Additionally, research on computational metrics like throughput, entropy, NPCR, and UACI demonstrates how the Keccak algorithm is specialized, secure, and has a wide range of potential applications for hashing images. Finally, we propped our method using the Block Floating Point Hardware 2 (FP2). We contrasted the outcomes of our analysis with other recent optimization techniques used by other researchers, and the results demonstrate our advantages.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87207554","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932930
Nikos Dimokas, Pavlos Spanidis, I. Tsetsinas, Ioannis Gkragkopoulos, Maria Gemou, Petros Karvelis
Recent advances in wireless communications enable the communication between vehicles, infrastructure and road users. Although the vehicles become safer and smarter due to Advanced Driver Assistance Systems, Cooperative Intelligent Transport Systems have an important role to ensure that every vehicle recognizes properly the road environment. Cooperative Intelligent Transport Systems applications aims to collect data from different resources like sensors, cameras, vehicles, road infrastructure, road users and analyze them to improve traffic management and road safety. The proposed system provides an innovative technological solution that implements Cooperative Intelligent Transport Systems applications without substantial and costly roadway interventions, including novel Vehicle to Infrastructure, Vehicle to Vehicle and Variable Message Signs functions. This is achieved via low-cost, integrated strips on the road pavement coupled with a cooperative communication framework. The paper presents the overall system and the Cooperative Safety application. The results attested the realization of the system with low latency.
{"title":"Cooperative Intelligent Transport Systems Solution: a Cooperative Safety Application","authors":"Nikos Dimokas, Pavlos Spanidis, I. Tsetsinas, Ioannis Gkragkopoulos, Maria Gemou, Petros Karvelis","doi":"10.1109/SEEDA-CECNSM57760.2022.9932930","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932930","url":null,"abstract":"Recent advances in wireless communications enable the communication between vehicles, infrastructure and road users. Although the vehicles become safer and smarter due to Advanced Driver Assistance Systems, Cooperative Intelligent Transport Systems have an important role to ensure that every vehicle recognizes properly the road environment. Cooperative Intelligent Transport Systems applications aims to collect data from different resources like sensors, cameras, vehicles, road infrastructure, road users and analyze them to improve traffic management and road safety. The proposed system provides an innovative technological solution that implements Cooperative Intelligent Transport Systems applications without substantial and costly roadway interventions, including novel Vehicle to Infrastructure, Vehicle to Vehicle and Variable Message Signs functions. This is achieved via low-cost, integrated strips on the road pavement coupled with a cooperative communication framework. The paper presents the overall system and the Cooperative Safety application. The results attested the realization of the system with low latency.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85177473","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932929
G. Marzano
Industry 4.0 is presented as integrating and optimizing manufacturing, logistics, marketing, and procurement in the supply chain. In this perspective, the customization of products and services is crucial. Indeed, according to the rapid changes due to the fourth industrial revolution, firms need to be increasingly reactive in interpreting their customer needs, involving them in designing and developing products and services. This paper tackles the opportunity to include notions such as social creativity and crowd-based applications in the mechatronics academic curriculum.
{"title":"Supporting Mechatronics Academic Curriculum Beyond Technical Skills","authors":"G. Marzano","doi":"10.1109/SEEDA-CECNSM57760.2022.9932929","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932929","url":null,"abstract":"Industry 4.0 is presented as integrating and optimizing manufacturing, logistics, marketing, and procurement in the supply chain. In this perspective, the customization of products and services is crucial. Indeed, according to the rapid changes due to the fourth industrial revolution, firms need to be increasingly reactive in interpreting their customer needs, involving them in designing and developing products and services. This paper tackles the opportunity to include notions such as social creativity and crowd-based applications in the mechatronics academic curriculum.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85434469","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932989
Thanassis Drivas, Spyros Doukakis
The rise of Artificial Intelligence (AI) has brought to the fore the need to educate students about AI. The aim is not to keep AI a black box and at the same time to be recognized as a transferable literacy with multiple learning benefits per age group of students. In order to strengthen this perspective, the design of workshops to introduce the basics of artificial intelligence to middle school students according to educational neuroscience principles is presented. With these workshops, the importance of AI literacy is emphasized, and students are given space for hands-on activities. The proposals are based on the axes of perception, representation and reasoning, learning, physical interaction, and social impact and include sections on Introduction to Machine Learning, Machine Learning Application Examples, Supervised Learning, and Training-Test Processes, Unsupervised Learning, and Machine Learning Algorithms.
{"title":"Introducing the Fundamentals of Artificial Intelligence to K-12 Classrooms According to Educational Neuroscience Principles","authors":"Thanassis Drivas, Spyros Doukakis","doi":"10.1109/SEEDA-CECNSM57760.2022.9932989","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932989","url":null,"abstract":"The rise of Artificial Intelligence (AI) has brought to the fore the need to educate students about AI. The aim is not to keep AI a black box and at the same time to be recognized as a transferable literacy with multiple learning benefits per age group of students. In order to strengthen this perspective, the design of workshops to introduce the basics of artificial intelligence to middle school students according to educational neuroscience principles is presented. With these workshops, the importance of AI literacy is emphasized, and students are given space for hands-on activities. The proposals are based on the axes of perception, representation and reasoning, learning, physical interaction, and social impact and include sections on Introduction to Machine Learning, Machine Learning Application Examples, Supervised Learning, and Training-Test Processes, Unsupervised Learning, and Machine Learning Algorithms.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82712183","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9933008
I. Mylona, D. Amanatidis, Michael F. Dossis
This paper focuses on examining how Greek MPs leverage Instagram and carry out a twofold investigation that addresses two main questions: Do politicians prefer to communicate over Instagram their private or public life moments? How does the use of Instagram by Greek politicians affect their perception by the public? To validate our findings, we construct a dataset on Greek MPs’ attributes and proceed with its statistical description and visualization. A hierarchical, multiple linear regression framework is employed to model the number of MPs posts with respect to various predictor variables. Data is gradually introduced, creating a series of models of increased complexity and deducing whether the added predictors account for any more variance, thus either accepting or dropping the respective independent variables. Acquired models can subsequently be compared with ANOVA to determine the significance of the models’ change.
{"title":"Greek Parliament Members on Instagram: A study on building a political image","authors":"I. Mylona, D. Amanatidis, Michael F. Dossis","doi":"10.1109/SEEDA-CECNSM57760.2022.9933008","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9933008","url":null,"abstract":"This paper focuses on examining how Greek MPs leverage Instagram and carry out a twofold investigation that addresses two main questions: Do politicians prefer to communicate over Instagram their private or public life moments? How does the use of Instagram by Greek politicians affect their perception by the public? To validate our findings, we construct a dataset on Greek MPs’ attributes and proceed with its statistical description and visualization. A hierarchical, multiple linear regression framework is employed to model the number of MPs posts with respect to various predictor variables. Data is gradually introduced, creating a series of models of increased complexity and deducing whether the added predictors account for any more variance, thus either accepting or dropping the respective independent variables. Acquired models can subsequently be compared with ANOVA to determine the significance of the models’ change.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82759984","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932983
A. Abosaleh, Vasilis Vlachokyriakos
While researchers have explored augmented reality (AR) applications for the engineering, urban planning and architecture of future cities, work around the implications of AR for civic participation has received much less attention. In this paper, we report on a study with 16 expert participants of a workshop that employed the “Sci-Fi Prototyping” methodology. Participants were asked to co-author speculative scenarios around potential AR futures. These scenarios then acted as “design fiction probes” to elicit discussions on the challenges and opportunities presented by AR for future societies. Our findings contribute a deeper understanding of the socio-technical implications of AR use in civic participation, including: (i) perceptions on how the current technological status quo is projected and reproduced in the future; (ii) how a ubiquitous AR infrastructure might affect the dichotomy between public and private space; and (iii) effects of AR in shifting perceptions of materiality.
{"title":"Civic Fictions: Exploring the Socio-technical Implications of Augmented Reality in Future Cities through Science Fiction Prototyping","authors":"A. Abosaleh, Vasilis Vlachokyriakos","doi":"10.1109/SEEDA-CECNSM57760.2022.9932983","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932983","url":null,"abstract":"While researchers have explored augmented reality (AR) applications for the engineering, urban planning and architecture of future cities, work around the implications of AR for civic participation has received much less attention. In this paper, we report on a study with 16 expert participants of a workshop that employed the “Sci-Fi Prototyping” methodology. Participants were asked to co-author speculative scenarios around potential AR futures. These scenarios then acted as “design fiction probes” to elicit discussions on the challenges and opportunities presented by AR for future societies. Our findings contribute a deeper understanding of the socio-technical implications of AR use in civic participation, including: (i) perceptions on how the current technological status quo is projected and reproduced in the future; (ii) how a ubiquitous AR infrastructure might affect the dichotomy between public and private space; and (iii) effects of AR in shifting perceptions of materiality.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85971704","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 : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932968
Konstantinos Sakkas, Niki Eleni Ntagka, Panagiota Vinni, Paraskevi Artemi, A. Anagnostakis, N. Giannakeas, Katerina D. Tzimourta, A. Tzallas, E. Glavas
The Fourth Industrial Revolution (4th IR) is hastily reshaping the global industry. The term is often used as a semantical umbrella to describe state-of-art technological advances that improve the quality, the productivity and the efficiency of the industrial and societal processes. It combines developments in the disciplines of Artificial Intelligence, Virtual Reality, Robotics, Internet of Things, Genetic Engineering, Quantum Computing and Blockchain. Metaverse itself, in the form of AI-fueled 4D virtual reality space is redefining the way humans and machines are interacting with themselves and with each other. To maximize the positive impact of the 4th IR, it is essential that the underlying mechanisms are conceivable and assimilated by everyone. In this paper we investigate the awareness of the general population on Virtual Reality, Internet of Things and Blockchain technologies under the framework of the 4th Industrial Revolution. A literature review on the core 4th IR technologies, supplemented with a combined questionnaire survey is presented. The work aims to quantify the awareness of the general population on the technologies that contribute the most to the 4th industrial revolution.
{"title":"A survey on the awareness on Virtual Reality, Internet of Things and Blockchain in the 4th IR era","authors":"Konstantinos Sakkas, Niki Eleni Ntagka, Panagiota Vinni, Paraskevi Artemi, A. Anagnostakis, N. Giannakeas, Katerina D. Tzimourta, A. Tzallas, E. Glavas","doi":"10.1109/SEEDA-CECNSM57760.2022.9932968","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932968","url":null,"abstract":"The Fourth Industrial Revolution (4th IR) is hastily reshaping the global industry. The term is often used as a semantical umbrella to describe state-of-art technological advances that improve the quality, the productivity and the efficiency of the industrial and societal processes. It combines developments in the disciplines of Artificial Intelligence, Virtual Reality, Robotics, Internet of Things, Genetic Engineering, Quantum Computing and Blockchain. Metaverse itself, in the form of AI-fueled 4D virtual reality space is redefining the way humans and machines are interacting with themselves and with each other. To maximize the positive impact of the 4th IR, it is essential that the underlying mechanisms are conceivable and assimilated by everyone. In this paper we investigate the awareness of the general population on Virtual Reality, Internet of Things and Blockchain technologies under the framework of the 4th Industrial Revolution. A literature review on the core 4th IR technologies, supplemented with a combined questionnaire survey is presented. The work aims to quantify the awareness of the general population on the technologies that contribute the most to the 4th industrial revolution.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86403212","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 : 2022-07-19DOI: 10.1109/SEEDA-CECNSM57760.2022.9932985
Jayprakash S. Nair, Divya D. Kulkarni, Ajitem Joshi, Sruthy Suresh
Federated Learning (FL) allows for collaboratively aggregating learned information across several computing devices and sharing the same amongst them, thereby tackling issues of privacy and the need of huge bandwidth. FL techniques generally use a central server or cloud for aggregating the models received from the devices. Such centralized FL techniques suffer from inherent problems such as failure of the central node and bottlenecks in channel bandwidth. When FL is used in conjunction with connected robots serving as devices, a failure of the central controlling entity can lead to a chaotic situation. This paper describes a mobile agent based paradigm to decentralize FL in multi-robot scenarios. Using Webots, a popular free open-source robot simulator, and Tartarus, a mobile agent platform, we present a methodology to decentralize federated learning in a set of connected robots. With Webots running on different connected computing systems, we show how mobile agents can perform the task of Decentralized Federated Reinforcement Learning (dFRL). Results obtained from experiments carried out using Q-learning and SARSA by aggregating their corresponding Q-tables, show the viability of using decentralized FL in the domain of robotics. Since the proposed work can be used in conjunction with other learning algorithms and also real robots, it can act as a vital tool for the study of decentralized FL using heterogeneous learning algorithms concurrently in multi-robot scenarios.
{"title":"On Decentralizing Federated Reinforcement Learning in Multi-Robot Scenarios","authors":"Jayprakash S. Nair, Divya D. Kulkarni, Ajitem Joshi, Sruthy Suresh","doi":"10.1109/SEEDA-CECNSM57760.2022.9932985","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932985","url":null,"abstract":"Federated Learning (FL) allows for collaboratively aggregating learned information across several computing devices and sharing the same amongst them, thereby tackling issues of privacy and the need of huge bandwidth. FL techniques generally use a central server or cloud for aggregating the models received from the devices. Such centralized FL techniques suffer from inherent problems such as failure of the central node and bottlenecks in channel bandwidth. When FL is used in conjunction with connected robots serving as devices, a failure of the central controlling entity can lead to a chaotic situation. This paper describes a mobile agent based paradigm to decentralize FL in multi-robot scenarios. Using Webots, a popular free open-source robot simulator, and Tartarus, a mobile agent platform, we present a methodology to decentralize federated learning in a set of connected robots. With Webots running on different connected computing systems, we show how mobile agents can perform the task of Decentralized Federated Reinforcement Learning (dFRL). Results obtained from experiments carried out using Q-learning and SARSA by aggregating their corresponding Q-tables, show the viability of using decentralized FL in the domain of robotics. Since the proposed work can be used in conjunction with other learning algorithms and also real robots, it can act as a vital tool for the study of decentralized FL using heterogeneous learning algorithms concurrently in multi-robot scenarios.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77456904","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 : 2021-09-24DOI: 10.1109/SEEDA-CECNSM53056.2021.9566230
Revekka Kalli, M. Anagnostou
We explore the risk of re-identification in anonymized data sets that preserve genealogical information (i.e. parent-child links). We consider attacks based on the number of children of an individual. We use part of a well known data set in our experiments, which show that a substantial part of the population involved in the set can be identified, even if additional anonymity protection measures based on graph trimming are taken. We have also found that the risk quickly increases with generatiou depth.
{"title":"Re-Identification risk in anonymized data sets with parent-child information","authors":"Revekka Kalli, M. Anagnostou","doi":"10.1109/SEEDA-CECNSM53056.2021.9566230","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566230","url":null,"abstract":"We explore the risk of re-identification in anonymized data sets that preserve genealogical information (i.e. parent-child links). We consider attacks based on the number of children of an individual. We use part of a well known data set in our experiments, which show that a substantial part of the population involved in the set can be identified, even if additional anonymity protection measures based on graph trimming are taken. We have also found that the risk quickly increases with generatiou depth.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74740709","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 : 2021-09-24DOI: 10.1109/SEEDA-CECNSM53056.2021.9566221
Christos V. Bellos, Charilaos Kostoulas, K. Stefanou, P. Sakaloglou, Paris Ladias, S. Markoula, Alexandros Fyraridis, I. Georgiou, G. Stergios
The completion of the human genome sequencing in 2003 redefined the molecular basis for understanding many diseases and illnesses at the genetic level. Sequencing of the human genome has led to a radical change in genetic medicine as well as the association of genes with diseases. The application of genetic knowledge in clinical practice in the last 4 years is due to the development of next generation sequencing systems (NGS). NGS technology, also known as massive parallel sequencing, is an innovative high throughput DNA sequencing methodology. NGS technology is the new genetic “weapon” enabling the sequencing of all genes (whole exome sequencing) and the entire human genome (whole genome sequencing) in just a few days, producing huge amounts of information. NGS is rapidly gaining ground in the field of genetic diagnosis and research. It can give combined results for both small gene damage and structural abnormalities of chromosomes. Based on this technology, the goal of GeneScreening project is to create a genetic platform for the detection of pathogenic variants in the copy number variations (CNVs) of wide clinical utility and application in order to prevent and diagnose developmental disorders and mental illnesses. Sub-objectives are: (i) the mapping of repetitive sequences in which the recombination points that cause deficits and microplications are identified, (ii) the creation of biomarkers of pathogenic recombinations, (iii) creating a database of sequences involved in pathogenic recombinations and (iv) the creation of standard recombination point detection software in NGS data.
{"title":"A genetic platform for studying the creation of structural abnormalities of chromosomes that cause micro-deletion and micro-duplication (MMS) syndromes","authors":"Christos V. Bellos, Charilaos Kostoulas, K. Stefanou, P. Sakaloglou, Paris Ladias, S. Markoula, Alexandros Fyraridis, I. Georgiou, G. Stergios","doi":"10.1109/SEEDA-CECNSM53056.2021.9566221","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566221","url":null,"abstract":"The completion of the human genome sequencing in 2003 redefined the molecular basis for understanding many diseases and illnesses at the genetic level. Sequencing of the human genome has led to a radical change in genetic medicine as well as the association of genes with diseases. The application of genetic knowledge in clinical practice in the last 4 years is due to the development of next generation sequencing systems (NGS). NGS technology, also known as massive parallel sequencing, is an innovative high throughput DNA sequencing methodology. NGS technology is the new genetic “weapon” enabling the sequencing of all genes (whole exome sequencing) and the entire human genome (whole genome sequencing) in just a few days, producing huge amounts of information. NGS is rapidly gaining ground in the field of genetic diagnosis and research. It can give combined results for both small gene damage and structural abnormalities of chromosomes. Based on this technology, the goal of GeneScreening project is to create a genetic platform for the detection of pathogenic variants in the copy number variations (CNVs) of wide clinical utility and application in order to prevent and diagnose developmental disorders and mental illnesses. Sub-objectives are: (i) the mapping of repetitive sequences in which the recombination points that cause deficits and microplications are identified, (ii) the creation of biomarkers of pathogenic recombinations, (iii) creating a database of sequences involved in pathogenic recombinations and (iv) the creation of standard recombination point detection software in NGS data.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74417774","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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