| 大谷 修一 | 1751022: M, 1回目発表 | インタラクティブメディア設計学 | 加藤 博一 |
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title: Home treatment support using small sensors for patients with chronic kidney disease
abstract:Chronic Kidney Disease (CKD) is one of major public health problems.We focused on home treatment for patients of CKD.In many cases,patients of CKD go to regular checkup only once or twice a month.For checking if the doctor's instructions are obeyed or not,it's necessary to check patients condition at home.We try to analize urinary components of patients using small sensors with semiconductor technology, and to share the data of daily patients condition with the doctor. language of the presentation: Japanese | |||
| 中嶋 達也 | 1751078: M, 1回目発表 | インタラクティブメディア設計学 | 加藤 博一 |
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title:Improvement of QOL with support system of medical diet
abstract: In order to prevent the progression of chronic kidney disease, continuation of medical diet at home is important. Currently, long-term practice of medical diet often decreases the QOL of patients and it is difficult to continue, because it is necessary to strictly manage nutrients such as protein, lipid and salt in daily diet. Therefore, in this research, we propose a system supporting long-term medical diet. In this presentation, we mention the problems in medical diet and the system that we propose to support continuous practice of medical diet. In addition, we will mention future work. language of the presentation:Japanese | |||
| 松岡 拓未 | 1751108: M, 1回目発表 | 生体医用画像 | 佐藤 嘉伸 |
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title: Image Synthesis using Deep Learning for Modality Independent Segmentation from Modality Specific Training Data abstract: Musculoskeletal modeling and simulation plays an important role in diagnosis and treatment planning. Automated segmentation of muscles from medical images allows the modeling to be practical and patient-specific. So far, most of methods for segmentation require labeled training data for the same modality as an image to be labeled. We propose an automated segmentation method in which an image is translated into another modality so that it can be labeled utilizing training data for the synthesized modality. language of the presentation: Japanese | |||
| 佐藤 哲郎 | 1651052: M, 2回目発表 | 情報基盤システム学 | 藤川 和利, 門林 雄基, 新井 イスマイル |
| 木村 一統 | 1651044: M, 2回目発表 | 情報基盤システム学 | 藤川 和利, 門林 雄基, 新井 イスマイル |
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title: Improvement of cache hit rate on Information Centric Networking
abstract: Researchers in Cisco say that seventy five percent of internet traffic will be occupied by large capacity contents such as videos. Therefore, amount of internet traffic is expected to increase from today. Information Centric Networking(ICN) has been proposed to solve this problem. ICN attempts to reduce network traffic by using caches on routers. In this research, we propose a method to improve cache hit rate in ICN. language of the presentation: Japanese | |||
| 中川 豊 | 1351075: M, 2回目発表 | 情報基盤システム学 | 藤川 和利, 岡田 実, 新井 イスマイル |
| 新垣 杏里 | 1551004: M, 2回目発表 | 情報基盤システム学 | 藤川 和利, 安本 慶一, 笠原 正治, 新井 イスマイル, 猪俣 敦夫 |
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title: CAPTCHA Cases and Problems abstract: In recent years, CAPTCHA has been used as a technology to prevent machine attacks against web services. CAPTCHAs based on text are widely used, but with the development of Optical Character Recognition, these became possible to analyze by bot programs.Therefore, new methods CAPTCHA have been studied.In this research, we introduce the requirements, types and cases of CAPTCHA. language of the presentation: Japanese | |||