\u00a0 The Gravitational Wave Physics and Astronomy\/Data Science Group (GW-DS Group) is dedicated to nurturing individuals who possess an understanding of the humanities extending <\/span>beyond the boundaries of the sciences, as well as<\/span>\u00a0those<\/span> who comprehend <\/span>the sciences beyond the boundaries of the humanities. <\/span>In essence<\/span>, people who can see things scientifically from a broad perspective. In today’s world, a mathematical background is required in many fields, including statistics, quantitative analysis, social research, and marketing. The GW-DS Group also aims to provide students with knowledge and skills in information mathematics (mathematics, physics, computer skills, and others) necessary to play an active role in international research and business.<\/span><\/span><\/p>\n \u00a0 We<\/span> focus<\/span>ed<\/span> on developing the following four skills in a balanced manner<\/span>:<\/p>\n \u00a0 At Tokyo City University, students are typically <\/span>assigned to a laboratory (group) in the second half of their third year of undergraduate studies <\/span>(In the <\/span>Department of Design and Data Science, students may be assigned to a laboratory (group) from the <\/span>graduate school). If you are an motivated <\/span>student eager to enhance<\/span> these four skills, we warmly welcome you <\/span>to join us in the <\/span>Gravitational Wave Physics and Astronomy\/Data Science (GW-DS Group).<\/span><\/p>\n \u00a0 Students within <\/span><\/span>the Gravitational Wave Physics and Astronomy\/Data Science Group (GW-DS Group) are strongly encouraged to pursue graduate studies<\/span><\/span>.<\/span><\/span><\/p>\n <\/span>\u00a0 We<\/span> also welcome <\/span>students from master\u2019s and doctoral program<\/span><\/span>s to join our group<\/span>. If you are interested in participating, please visit our group<\/span>.<\/span><\/span><\/p>\n \u00a0 For information on the research topics that we focus on in the Gravitational Wave Physics and Astronomy\/Data Science Group (GW-DS Group), p<\/span>lease refer to the Research Topics page<\/span>. However, you are not limited to working on research topics within the GW-DS Group. Let us have fun and work together on your research interest<\/span><\/span>s<\/span>.<\/span><\/p>\n \u00a0 Please n<\/span>ote that education and research guidance in the Gravitational Wave Physics and Astronomy\/Data Science Group (GW-DS Group) focuses on observational instruments and inertial sensors, machine learning,<\/span> and data processing.<\/span><\/p>\n \u00a0 Instead, several<\/span> models and methods have been incorporated into a single research topic. Therefore, we conduct<\/span> our research by<\/span> integrating <\/span>individual physical models, machine learning models, and data processing methods, while sharing our findings<\/span> with collaborators and students at each research institute. Some<\/span> of the introduced physical models, machine–<\/span>learning models, and data processing methods involve complex <\/span>theories, whereas others apply more <\/span>easily understood<\/span> theories<\/span>.<\/span> In addition, the preprocessing of signals obtained from observational instruments and inertial sensors can be challenging<\/span> for students to understand. In <\/span>this series of studies, students are required to<\/span> understand the following aspects<\/span>: (a) handling methods of observation devices and inertial sensors, (b) data acquisition through <\/span>observation and experiment, (c) signal processing techniques<\/span>, (d) construction of automated classification<\/span> models using <\/span>physics and machine learning, (e) methods for evaluating the accuracy <\/span>of the constructed models, and (f) implementation methods.<\/span><\/p>\n \u00a0 Based on my previous experience in education and research guidance, I aim to guide students in both education and research endeavors, taking into account the complexities inherent in constructing physical models, machine learning models, and data processing methods within these research topics. It is essential to foster a learning environment that allows students to accumulate successful experiences while assessing their abilities effectively.<\/span><\/span><\/p>\n Catchphrase of the laboratory<\/span><\/p>\n A day in the group <\/span> \u00a0 Group members mainly focus on three topics: 1) Data analysis of gravitational waves utilizing<\/span> various signal processing techniques, including machine <\/span>learning<\/span>. 2) Feature extraction from wearable sensors such as accelerometers and gyroscopes. This technique is widely used to understand human activities such as car driving, sports, healthcare assessments, and daily living <\/span>activities. 3) Operations research <\/span>and mathematical <\/span>modeling of real-world<\/span> problems.<\/span><\/p>\n \u00a0 Each student adopts a unique<\/span> research style, with a significant portion <\/span>of their time dedicated to activities <\/span>such as<\/span> programming, conducting<\/span> numerical experiments (see Figure 5), and engaging in <\/span>discussions with fellow lab members to enhance their understanding of fundamental research concepts<\/span>. Additionally, many students balance their research commitments with <\/span>part-time jobs and club activities and present their research findings <\/span>at academic conferences and research meetings.<\/span><\/p>\n Join us For those who are interested in our group As a new trend in university e … <\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-44","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.comm.tcu.ac.jp\/gw-ds\/wp-json\/wp\/v2\/pages\/44","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.comm.tcu.ac.jp\/gw-ds\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.comm.tcu.ac.jp\/gw-ds\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.comm.tcu.ac.jp\/gw-ds\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.comm.tcu.ac.jp\/gw-ds\/wp-json\/wp\/v2\/comments?post=44"}],"version-history":[{"count":26,"href":"https:\/\/www.comm.tcu.ac.jp\/gw-ds\/wp-json\/wp\/v2\/pages\/44\/revisions"}],"predecessor-version":[{"id":1021,"href":"https:\/\/www.comm.tcu.ac.jp\/gw-ds\/wp-json\/wp\/v2\/pages\/44\/revisions\/1021"}],"wp:attachment":[{"href":"https:\/\/www.comm.tcu.ac.jp\/gw-ds\/wp-json\/wp\/v2\/media?parent=44"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
Group introduction written by students<\/h3>\n
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\nIn the Gravitational Wave Physics and Astronomy\/Data Science Group (GW-DS Group), the students themselves set own research time. However, as a general rule, the students are expected<\/span><\/span><\/span><\/span> to come to the <\/span>office once a day<\/span>.<\/span><\/span><\/p>\n![\"\"](\"https:\/\/www.comm.tcu.ac.jp\/gw-ds\/wordpress\/wp-content\/uploads\/2022\/01\/numerical_exp.png\")