Pub Date : 2021-09-01DOI: 10.23919/URSIRSB.2021.10292807
With the aim of encouraging young Portuguese authors, ANACOM sponsored the Best Student Paper Award, given to the three best papers presented by students (first authors) at the 15th Congress of the URSI Portuguese Committee, which was held on November 24, 2021, using a hybrid model.
{"title":"Introduction to the special issue of the student paper contest of the 15th congress of the URSI Portuguese national meeting 2021","authors":"","doi":"10.23919/URSIRSB.2021.10292807","DOIUrl":"https://doi.org/10.23919/URSIRSB.2021.10292807","url":null,"abstract":"With the aim of encouraging young Portuguese authors, ANACOM sponsored the Best Student Paper Award, given to the three best papers presented by students (first authors) at the 15th Congress of the URSI Portuguese Committee, which was held on November 24, 2021, using a hybrid model.","PeriodicalId":101270,"journal":{"name":"URSI Radio Science Bulletin","volume":"2021 378","pages":"13-13"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873543/10292758/10292807.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68077999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23919/URSIRSB.2021.10292816
This special issue is a collection of papers by university students who successfully applied for the Student Paper Competition organized at the 2022 URSI-Japan Radio Science Meeting (URSI-JRSM 2022). The conference was held at Chuo University, Tokyo, Japan, on September 1-2, 2022 (http://www.ursi.jp/conference/jrsm2022/).
{"title":"Special issue of the URSI-JRSM 2022 student paper competition","authors":"","doi":"10.23919/URSIRSB.2021.10292816","DOIUrl":"https://doi.org/10.23919/URSIRSB.2021.10292816","url":null,"abstract":"This special issue is a collection of papers by university students who successfully applied for the Student Paper Competition organized at the 2022 URSI-Japan Radio Science Meeting (URSI-JRSM 2022). The conference was held at Chuo University, Tokyo, Japan, on September 1-2, 2022 (http://www.ursi.jp/conference/jrsm2022/).","PeriodicalId":101270,"journal":{"name":"URSI Radio Science Bulletin","volume":"2021 378","pages":"68-69"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873543/10292758/10292816.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70609929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23919/URSIRSB.2021.10292821
Keith Groves
Patricia Doherty, Director and Senior Research Scientist at Boston College's Institute for Scientific Research (ISR), and an internationally recognized leader in space weather and its impact on global navigation systems, died on July 14, 2022. She was 72.
{"title":"In memoriam: Patricia Doherty","authors":"Keith Groves","doi":"10.23919/URSIRSB.2021.10292821","DOIUrl":"https://doi.org/10.23919/URSIRSB.2021.10292821","url":null,"abstract":"Patricia Doherty, Director and Senior Research Scientist at Boston College's Institute for Scientific Research (ISR), and an internationally recognized leader in space weather and its impact on global navigation systems, died on July 14, 2022. She was 72.","PeriodicalId":101270,"journal":{"name":"URSI Radio Science Bulletin","volume":"2021 378","pages":"85-85"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873543/10292758/10292821.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70609896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23919/URSIRSB.2021.10292825
Asta Pellinen-Wannberg
This will be my very last WIRS Column in the Radio Science Bulletin. I feel a little bit sad to leave this platform, but I am also happy to see that the work continues in a much broader front such as WIRS Chapters in different countries and WIRS events and sessions on several URSI meetings. Still, we have a lot of work do to.
{"title":"Women in radio science: Progress within women in radio science - WIRS","authors":"Asta Pellinen-Wannberg","doi":"10.23919/URSIRSB.2021.10292825","DOIUrl":"https://doi.org/10.23919/URSIRSB.2021.10292825","url":null,"abstract":"This will be my very last WIRS Column in the Radio Science Bulletin. I feel a little bit sad to leave this platform, but I am also happy to see that the work continues in a much broader front such as WIRS Chapters in different countries and WIRS events and sessions on several URSI meetings. Still, we have a lot of work do to.","PeriodicalId":101270,"journal":{"name":"URSI Radio Science Bulletin","volume":"2021 378","pages":"93-94"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873543/10292758/10292825.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68078008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23919/URSIRSB.2021.10292822
Robert K. (Bob) Crane passed in Newport, NH, on November 30, 2022, at the age of 86. Nature lover, outdoorsman, history buff, and radio propagation researcher extraordinaire, Bob contributed to the scientific community with a remarkable breadth of experimental and theoretical studies in ionospheric and tropospheric radio propagation, within a variety of professional venues. Among his affiliations were the Mitre Corporation, MIT Lincoln Laboratory, Environmental Research & Technology, Dartmouth College's Thayer School of Engineering, and the University of Oklahoma (where he attained Professor Emeritus status in both electrical engineering and meteorology). Among many professional distinctions, he was an IEEE Life Fellow and a certified consulting meteorologist of the American Meteorological Society.
{"title":"In memoriam: Robert Crane","authors":"","doi":"10.23919/URSIRSB.2021.10292822","DOIUrl":"https://doi.org/10.23919/URSIRSB.2021.10292822","url":null,"abstract":"Robert K. (Bob) Crane passed in Newport, NH, on November 30, 2022, at the age of 86. Nature lover, outdoorsman, history buff, and radio propagation researcher extraordinaire, Bob contributed to the scientific community with a remarkable breadth of experimental and theoretical studies in ionospheric and tropospheric radio propagation, within a variety of professional venues. Among his affiliations were the Mitre Corporation, MIT Lincoln Laboratory, Environmental Research & Technology, Dartmouth College's Thayer School of Engineering, and the University of Oklahoma (where he attained Professor Emeritus status in both electrical engineering and meteorology). Among many professional distinctions, he was an IEEE Life Fellow and a certified consulting meteorologist of the American Meteorological Society.","PeriodicalId":101270,"journal":{"name":"URSI Radio Science Bulletin","volume":"2021 378","pages":"86-87"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873543/10292758/10292822.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68177659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23919/URSIRSB.2021.10292811
M. Pereira;D. Duarte;P. Vieira
Mobile networks' fault management can take advantage of Machine Learning (ML) algorithms making its maintenance more proactive and preventive. Currently, Network Operations Centers (NOCs) still operate in reactive mode, where the troubleshoot is only done after the problem identification. The network evolution to a preventive maintenance enables the problem prevention or quick resolution, leading to a greater network and services availability, to a better operational efficiency and, above all, ensures customer satisfaction. In this paper, different algorithms for Sequential Pattern Mining (SPM) and Association Rule Learning (ARL) are explored, using real Fault Management (FM) data from a live Long Term Evolution (LTE) network. A comparative analysis of the performance and efficiency between all the algorithms was carried out, having observed a decrease of 3.31% in the total number of alarms and 70.45% in the number of alarms corresponding to the same type. There were also considerable reductions in the number of alarms per network node or zone, identifying 39 nodes that no longer had any unresolved alarm. These results demonstrate that the recognition of sequential alarm patterns allows the preventive maintenance of a mobile communications network.
{"title":"A preventive maintenance approach to optimize fault management using machine learning","authors":"M. Pereira;D. Duarte;P. Vieira","doi":"10.23919/URSIRSB.2021.10292811","DOIUrl":"https://doi.org/10.23919/URSIRSB.2021.10292811","url":null,"abstract":"Mobile networks' fault management can take advantage of Machine Learning (ML) algorithms making its maintenance more proactive and preventive. Currently, Network Operations Centers (NOCs) still operate in reactive mode, where the troubleshoot is only done after the problem identification. The network evolution to a preventive maintenance enables the problem prevention or quick resolution, leading to a greater network and services availability, to a better operational efficiency and, above all, ensures customer satisfaction. In this paper, different algorithms for Sequential Pattern Mining (SPM) and Association Rule Learning (ARL) are explored, using real Fault Management (FM) data from a live Long Term Evolution (LTE) network. A comparative analysis of the performance and efficiency between all the algorithms was carried out, having observed a decrease of 3.31% in the total number of alarms and 70.45% in the number of alarms corresponding to the same type. There were also considerable reductions in the number of alarms per network node or zone, identifying 39 nodes that no longer had any unresolved alarm. These results demonstrate that the recognition of sequential alarm patterns allows the preventive maintenance of a mobile communications network.","PeriodicalId":101270,"journal":{"name":"URSI Radio Science Bulletin","volume":"2021 378","pages":"36-43"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873543/10292758/10292811.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68077996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23919/URSIRSB.2021.10292812
Tiago E. S. Oliveira;João R. Reis;Rafael F. S. Caldeirinha
In this paper, a Quasi-Yagi microstrip dipole antenna with circular arc parasitic elements for wireless sensing networks is presented. With the aim of being employed in a multi-sector base-station (BS) of a Wireless Sensing Network (WSN), the proposed antenna is designed and optimised to operate in the 2.4 GHz ISM band. Specific project requirements, such as: operating frequency, gain, half power beam-width (HPBW) and, consequently, Field of View (FOV) are taken into consideration when dimensioning the antenna. After proper design optimization, carried out with the aid of a full wave electromagnetic solver (CST Microwave Studio), an antenna prototype has been fabricated and experimentally characterized inside an anechoic chamber. From the measurement results obtained with the prototype, the antenna yields to a realised gain of 8.6 dBi, an HPBW of 64°and 42°in the azimuth and elevation planes, respectively, and a back-to-front ratio of 16.4 dB, at 2.44 GHz. The measurement results are proved to be in good agreement with the simulation ones.
{"title":"Quasi-Yagi microstrip dipole antenna with circular arc parasitic elements for wireless sensing networks","authors":"Tiago E. S. Oliveira;João R. Reis;Rafael F. S. Caldeirinha","doi":"10.23919/URSIRSB.2021.10292812","DOIUrl":"https://doi.org/10.23919/URSIRSB.2021.10292812","url":null,"abstract":"In this paper, a Quasi-Yagi microstrip dipole antenna with circular arc parasitic elements for wireless sensing networks is presented. With the aim of being employed in a multi-sector base-station (BS) of a Wireless Sensing Network (WSN), the proposed antenna is designed and optimised to operate in the 2.4 GHz ISM band. Specific project requirements, such as: operating frequency, gain, half power beam-width (HPBW) and, consequently, Field of View (FOV) are taken into consideration when dimensioning the antenna. After proper design optimization, carried out with the aid of a full wave electromagnetic solver (CST Microwave Studio), an antenna prototype has been fabricated and experimentally characterized inside an anechoic chamber. From the measurement results obtained with the prototype, the antenna yields to a realised gain of 8.6 dBi, an HPBW of 64°and 42°in the azimuth and elevation planes, respectively, and a back-to-front ratio of 16.4 dB, at 2.44 GHz. The measurement results are proved to be in good agreement with the simulation ones.","PeriodicalId":101270,"journal":{"name":"URSI Radio Science Bulletin","volume":"2021 378","pages":"44-50"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873543/10292758/10292812.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70609932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23919/URSIRSB.2021.10292765
The latest editions of the James Clerk Maxwell Foundation's Newsletter are now available. Issue No. 17 contains an article by Dusa McDuff and David Forfar, "Some Advances in Pure Mathematics Made in the 19th Century." Issue No. 18 contains an article by Naomi C. Robertson, "An Introduction to Black Holes." The issues are available for free at: https://clerkmaxwellfoundation.org/Newsletter_2022_Summer_V17.pdf https://clerkmaxwellfoundation.org/Newsletter_2022_Summer_V18.pdf.
James Clerk Maxwell基金会时事通讯的最新版本现已上市。第17期包含Dusa McDuff和David Forfar的文章《19世纪纯数学的一些进展》。第18期包含Naomi C.Robertson的文章《黑洞导论》https://clerkmaxwellfoundation.org/Newsletter_2022_Summer_V17.pdfhttps://clerkmaxwellfoundation.org/Newsletter_2022_Summer_V18.pdf.
{"title":"Maxwell foundation newsletter available","authors":"","doi":"10.23919/URSIRSB.2021.10292765","DOIUrl":"https://doi.org/10.23919/URSIRSB.2021.10292765","url":null,"abstract":"The latest editions of the James Clerk Maxwell Foundation's Newsletter are now available. Issue No. 17 contains an article by Dusa McDuff and David Forfar, \"Some Advances in Pure Mathematics Made in the 19th Century.\" Issue No. 18 contains an article by Naomi C. Robertson, \"An Introduction to Black Holes.\" The issues are available for free at: https://clerkmaxwellfoundation.org/Newsletter_2022_Summer_V17.pdf https://clerkmaxwellfoundation.org/Newsletter_2022_Summer_V18.pdf.","PeriodicalId":101270,"journal":{"name":"URSI Radio Science Bulletin","volume":"2021 378","pages":"12-12"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873543/10292758/10292765.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70609938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23919/URSIRSB.2021.10292762
{"title":"URSI officers and secretariat","authors":"","doi":"10.23919/URSIRSB.2021.10292762","DOIUrl":"https://doi.org/10.23919/URSIRSB.2021.10292762","url":null,"abstract":"","PeriodicalId":101270,"journal":{"name":"URSI Radio Science Bulletin","volume":"2021 378","pages":"6-9"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873543/10292758/10292762.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68177661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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