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バス トウチャク ジコク ヨソク ノ タメ ノ ソウコウ ジカン テイシャ ジカン ノ ニッシュウキセイ オ コウリョ シタ ケッソンチ ホカン シュホウ ノ テイアン
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Research on Internet Transport Economics
No full textvideo/mp4With the rise of video streaming and cloud services,the Internet has evolved into a content-centric service platform.Due to the best-effort service model of the Internet, the quality ofservice (QoS) of Internet services however cannot be guaranteed.Furthermore, characterizing QoS is challenging since it depends on the autonomous business decisions such as capacity planning,routing strategies and peering agreements of network providers.To quantify the QoS for Internet-based services, we regard the Internet infrastructure as a transport system for data packets andstudy the Internet ecosystem and the economics of transport servicescollectively provided by the autonomous network providers.In contrast to the traditional transport economics that studies themovement of people and goods over space and time, our focus in the Internet transport economics is the movement of streams of data packets that create information services. In particular, we model the supply of network capacities and demands of throughput driven by network protocols and establish a macroscopicnetwork equilibrium under which both the end-to-end delays and drop rates of Internet routes can be derived. We show that this equilibrium solution always exists and its uniqueness can be guaranteed under various realistic scenarios. We analyze the impacts of user demands and resource capacities on the network equilibrium and provide implications of Netflix-Comcasttype of peering on the QoS of users. We demonstrate that our framework can be used as a building block to understand the routing strategies under a Wardrop equilibrium and to enable further studies such as Internet peering and in-network caching.講演日: 2023年6月7日 4限講演場所: 情報科学棟 エーアイ大講義室(L1)vide
Epidemiology: the power of statistics serving human health and welfare
No full textvideo/mp4Epidemiology is a science applying statistical methods to find causes andrisk factors of diseases and thus eventually improving population health byremoving them. For many epidemiological research questions, new datacollection is needed. However, administrational registers can offershortcuts to collect epidemiologically useful information. Already decades,Finnish population registers have been utilized in epidemiological researchindependently or complemented by survey data and clinical measurements. Theadvantages of register based information is that it is not prone to recallbias or selective participation, can offer longitudinal data readilyavailable and is much less expensive than active data collection. In thispresentation, the usefulness of population registers will be demonstratedby several epidemiological examples.講演日: 2023年5月17日 4限講演場所: 情報科学棟 エーアイ大講義室(L1)vide
ピエゾセンサ ノ シンドウ ジョウホウ オ モチイタ リョウリチュウ ノ マイクロ コウドウ ニンシキ システム ノ テイアン ト ヒョウカ
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コウレイシャ ノ ホヨウ ブンセキ ニ モトズク テントウ ヨボウ ノ タメ ノ セイカツ カイゼン フレーム ワーク ノ テイアン ト ヒョウカ
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Augmented Reality Disaster Prevention Guidelines to Increase Civil Defense Participation
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Broadening the Coverage of Scenes and Descriptions towards Versatile Image Captioning Systems
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Offensive and Defensive Strategies on In-Vehicle Networks: Toward Disabling DoS Vulnerability
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