IR Platform的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

Big Data in Bioeconomy: Results from the European Databio Project

為了解決IR Platform的問題，作者 這樣論述：

Dr Caj Södergård is Research Professor at VTT and Dr. Tech. from Helsinki University of Technology. He has worked as machine vision designer at Decon Oy and as Scientist, Senior Scientist and Area Manager at VTT. He has focused on processing and analysis of big data in media, learning, nutrition, en

vironment and bioeconomy. He has 260 publications and 5 patents. He was in the European High Level Expert Group on Open Science Cloud. He is on the Board for Big Data Value Association and was Chair of the European Big Data Value Forum 2019. He was Technical Manager of DataBio. Dr Tomas Mildorf is a

researcher at the Department of Geomatics at the University of West Bohemia, Czech Republic. Tomas is responsible for European research projects, their management and scientific lead. The main thematic domains include agriculture, rural development, transport and spatial planning. Tomas is the chai

rman of the Plan4all association and is involved in activities of the Group on Earth Observations, Big Data Value Association and the Open Geospatial Consortium.Dr Ephrem Habyarimana, Ir, MS, MS, MASt, PhD, a Research Scientist at CREA, Italy, has documented skills and expertise of more than 25 year

s in agronomy, crop science, genetics and plant breeding integrating diverse technologies i.e., agroecological and genomic modelling, big data analytics e.g., phenomics, genomics for the sustainable crop improvement. He trained in North and Latin America, Africa, Asia, and Europe, authored 40] scien

tific papers; is inventor: DeepTech innovations, European DataSci & Artificial Intelligence Awards finalist, co-author of 5 sorghum varietiesDr. Arne J. Berre is Chief Scientist at SINTEF Digital and is Innovation Director at the Norwegian Center for AI Innovation (NorwAI). His PhD is from NTNU in 1

993 is on the topic of Systems Interoperability. He is the leader of the BDVA TF6 on Technical priorities and is involved in ISO SC42 on AI and Big Data. He was responsible for the platform reference model in the DataBio project. He has been in the technical lead of more than 20 European projects an

d has more than 100 scientific publications.Dr. Jose A. Fernandes is a scientist from computing and artificial intelligence studies with the skills and experience needed to translate the data into valuable information for marine research. These skills are curiosity, multidisciplinary communicative,

biological, oceanographic, economic, statistics and machine learning expertise. Current line of research is about mitigation of impacts and long-term sustainability of fisheries using the above skills. He has over 120 publications, 40 in scientific publications in high impact journals at Q1.Dr Chris

tian Zinke-Wehlmann is a research group leader for ＂Efficient Technology Integration＂ at the Institute for Applied Informatics at the University of Leipzig. Working at the edge of technology, work, and service systems, he became a doctor in 2017. His research concentrates on Linked Data, Data Analyt

ics, Data Visualisation, Service Engineering and Management, as well as Knowledge Management. This expertise is represented in this publication and more the 40 other publications.

IR Platform進入發燒排行的影片

磁敏釋放控制微膠囊並應用於金屬離子螢光感測

為了解決IR Platform的問題，作者杜博瑋 這樣論述：

微膠囊化技術因其在材料科學中的結構和功能性提供眾多優點而近年來受到廣泛的 關注。超分子化學是一門關注分子間非共價鍵作用力的化學學科，從中延伸出了很多 重要的概念和研究方向，例如分子螢光光探針，其螢光特性由其自身的分子結構決定， 但也容易受到環境因素的影響。在該方向上，本論文進行了詳細的研究，解釋了微膠 囊化技術與超分子化學完美的平衡組合，使其具有更好的穩定性和新穎的應用。首先 我們導入超分子化學概念通過一鍋反應合成的芘基衍生物，2­((芘­1­亞甲基) 胺) 乙醇奈 米顆粒，和通過改質的磁性奈米顆粒用作觸發釋放元素通過雙乳化溶劑蒸發法包覆在 聚己內酯聚合物基質構建的微型膠囊中。用於檢測三價陽

離子的開關感測器通過新型 的螢光響應與磁場控制釋放機制被很好地整合在整個系統中，並且在外部震盪磁場下 可以有效地發生熱能與動能的轉換。(1) 通過一鍋法成功合成了具有聚集誘導光增強特性和三價陽離子感測能力的芘基衍 生物螢光探針。我們使用重結晶技術來提高該螢光探針化合物的純度，純度評估由螢 光光譜的半高寬的值確定。通過核磁共振光譜，紫外可見光光譜，螢光光譜和熱重分 析研究了選擇性螢光探針的特性。其聚集誘導光增強特性和對於三價陽離子 (鐵/鋁/鉻) 的選擇開關特性都表現完整且性能良好。在使用這種螢光探針作為核心材料被封裝在 微膠囊中之前，本節充分地研究了其基本特性，穩定的紫外可見光及螢光光譜的結果

是在溶劑 (乙腈) 和水 (100:900; 體積比) 的比例下進行的，強力的激發光在 505 nm，也 分別顯示出其對於三價鐵/鋁/鉻金屬陽離子優異的選擇性。(2) 為了成功通過外部震盪磁場觸發微膠囊的破裂，我們將利用共沉澱法合成並通過 檸檬酸修飾以達到避免團聚現象並提高其穩定性的磁性奈米顆粒嵌入聚合物基質中。 通過由動態光散射所測量到的粒徑分佈和界面電位以及掃描電子顯微鏡觀察到的圖 像，顯示出經過修飾的磁性奈米顆粒具有良好的分散特性和相對未修飾顆粒較小的粒 徑分佈。經過修飾的磁性奈米顆粒和選擇性熒光探針分子通過雙乳化結合溶劑蒸發法 成功封裝在微膠囊中，並通過光學顯微鏡，掃描電子顯微鏡，動

態光散射儀，熱重分i析儀，X 光散射儀，和核磁共振光譜儀對其表面形貌和特征進行了全面的研究。其結 果分別表明被修飾的磁性奈米顆粒和選擇性熒光探針確實有被微膠囊封裝在內，與此 同時，本節還深入討論了殼材料的高分子量的大小，雙乳化的內部水相濃度，以及在 分離微膠囊的離心過程中的離心速率的選擇，對合成微膠囊形貌以及包封效率的影響。 我們發現當聚合物外殼採用的分子量為 80,000 的聚己內酯時，所合成的微膠囊比其他 兩種較低分子量的顯示出更好的包覆效率和更加均勻的形狀，這主要是由於採用較高 分子量的高分子時，其油相在膠囊雙乳化狀態下的固化過程可以提供更好的穩定性。 此外，將溶解在乙腈中 10 mM

的熒光探針化合物作為內部水相的濃度與其他兩種濃度 (0.1 mM, 1 mM) 相比之下，也證明該濃度下所合成的微膠囊具有更好的均勻性和包覆 效率，因為較低濃度的內部水相會導致膠囊外殼內外滲透壓的不穩定。令人驚訝的是， 我們還發現在分離微膠囊的過程中，較高的離心速率會導致微膠囊的多孔性結構的產 生，這種現象可以通過調整較低的離心速率來消除。該策略同時也為未來開發新型多 孔性結構微膠囊的設計提供了一種新的途徑。在本節中，包覆了被修飾後的磁性奈米 顆粒和選擇性螢光探針的微膠囊的釋放行為和感測滴定分別以六十攝氏度的水浴加熱， 機械破壞，和超聲波粉碎的方式模擬其在磁場破裂的條件下進行，並且分別在不同狀

態下完美地測試了其結果。(3) 最後我們巧妙地設計了通過使用外部震盪磁場的方式來觸發芘基席夫鹼螢光 探針在微膠囊中的新型磁感應釋放機制。為了控制膠囊外殼的破裂，分散在乙腈/水 (900:100; 體積比) 中新合成的磁敏微膠囊通過直接感應加熱暴露在高頻磁場下。這些微 膠囊被成功觸發破裂釋放出所包覆的選擇性螢光探針，表現出優異的聚集誘導光增強 特性，和良好的選擇性開關螢光信號用於檢測三價金屬陽離子 (鐵/鋁/鉻)。被釋放的螢 光探針的檢測極限為:2.8602 × 10−6 M (三價鋁離子), 1.5744 × 10−6 M (三價鉻離子)，和 1.8988 × 10−6 M (三價鐵離子)。

該感測器平台也表現出優異的精確度和再現性，如變 異係數所示 (三價鐵離子 ≤ 2.79%, 三價鉻離子 ≤ 2.79%, 三價鋁離子 ≤ 3.76%)，各金屬離 子的回收率分別為:96.5­98.7% (三價鐵離子), 96.7­99.4% (三價鉻離子), 和 94.7­98.9% (三價鋁離子)。以上結果也充分說明了本文所述的控制釋放平台對於三價金屬陽離子 (鐵/鋁/鉻) 活性和實際樣品中的偵測，在未來環境監測甚至生物醫學方面的應用有一定 的價值和潛力。

Big Data in Bioeconomy: Results from the European Databio Project

為了解決IR Platform的問題，作者 這樣論述：

Dr Caj Södergård is Research Professor at VTT and Dr. Tech. from Helsinki University of Technology. He has worked as machine vision designer at Decon Oy and as Scientist, Senior Scientist and Area Manager at VTT. He has focused on processing and analysis of big data in media, learning, nutrition, en

vironment and bioeconomy. He has 260 publications and 5 patents. He was in the European High Level Expert Group on Open Science Cloud. He is on the Board for Big Data Value Association and was Chair of the European Big Data Value Forum 2019. He was Technical Manager of DataBio. Dr Tomas Mildorf is a

researcher at the Department of Geomatics at the University of West Bohemia, Czech Republic. Tomas is responsible for European research projects, their management and scientific lead. The main thematic domains include agriculture, rural development, transport and spatial planning. Tomas is the chai

rman of the Plan4all association and is involved in activities of the Group on Earth Observations, Big Data Value Association and the Open Geospatial Consortium.Dr Ephrem Habyarimana, Ir, MS, MS, MASt, PhD, a Research Scientist at CREA, Italy, has documented skills and expertise of more than 25 year

s in agronomy, crop science, genetics and plant breeding integrating diverse technologies i.e., agroecological and genomic modelling, big data analytics e.g., phenomics, genomics for the sustainable crop improvement. He trained in North and Latin America, Africa, Asia, and Europe, authored 40+ scien

tific papers; is inventor: DeepTech innovations, European DataSci & Artificial Intelligence Awards finalist, co-author of 5 sorghum varietiesDr. Arne J. Berre is Chief Scientist at SINTEF Digital and is Innovation Director at the Norwegian Center for AI Innovation (NorwAI). His PhD is from NTNU in 1

993 is on the topic of Systems Interoperability. He is the leader of the BDVA TF6 on Technical priorities and is involved in ISO SC42 on AI and Big Data. He was responsible for the platform reference model in the DataBio project. He has been in the technical lead of more than 20 European projects an

d has more than 100 scientific publications.Dr. Jose A. Fernandes is a scientist from computing and artificial intelligence studies with the skills and experience needed to translate the data into valuable information for marine research. These skills are curiosity, multidisciplinary communicative,

biological, oceanographic, economic, statistics and machine learning expertise. Current line of research is about mitigation of impacts and long-term sustainability of fisheries using the above skills. He has over 120 publications, 40 in scientific publications in high impact journals at Q1.Dr Chris

tian Zinke-Wehlmann is a research group leader for ＂Efficient Technology Integration＂ at the Institute for Applied Informatics at the University of Leipzig. Working at the edge of technology, work, and service systems, he became a doctor in 2017. His research concentrates on Linked Data, Data Analyt

ics, Data Visualisation, Service Engineering and Management, as well as Knowledge Management. This expertise is represented in this publication and more the 40 other publications.

以時序錯誤導向電軌調變技術實現之細緻化電壓調節及其於能耗可調數位系統之應用

為了解決IR Platform的問題，作者陳威仁 這樣論述：

電壓調節技術(voltage scaling)在提高數位系統的能源效益方面具有相當大的潛力。然而，其節能效益在極大程度上受制於系統中穩壓電路之性能。本論文旨在提出一種可打破此限制的基於時序錯誤導向之電源軌調變技術，並以此技術實現細緻化的電壓調節。所提出之技術只需要少數電壓檔位，即可利用電源軌抖動(supply rail voltage dithering)的方式來近似出細緻化電壓調節的效果。因此，所提出之方法可以顯著降低晶片內穩壓電路的設計開銷。由於數位式低壓降線性穩壓器(digital low-dropout regulator, DLDO)具有無縫整合：（一）穩定輸出電壓、（二）電源軌抖

動、以及（三）電源閘控(power gating)等技術之特性，因此本論文利用DLDO來實現所提出之電源軌調變技術。為了精確與快速地實現適用於不同應用場景之DLDO電路，本論文也提出一種具有快速週轉時間的DLDO設計方法，並實際以一高性能DLDO設計為例驗證其效益。實驗結果指出，使用了聯電110奈米製程所製造的DLDO測試晶片展現出3毫伏特的超低漣波、67奈秒的輕載至重載暫態響應及250奈秒的重載至輕載暫態響應。與最先進的DLDO設計相比，該DLDO具有更簡潔的硬體架構且在品質因數(figure of merit)方面展現出高度競爭力。而後，本文以一種基於DLDO的抖動電源 (dithered

power supply)來實現所提出之電源軌調變技術。為了驗證所提出技術之效益，我們使用了一個具有時序錯誤偵測與修正能力之可程式化DSP資料路徑(datapath)作為測試載體。此測試晶片以台積電65奈米低功耗製程實現，而研究結果表明，所提出之電源軌調變技術有助於回收設計階段時留下之保守設計餘裕(design margin)並提高能源效率。量測結果指出，當該DSP資料路徑被程式化為一個無限脈衝響(infinite impulse response)數位濾波器以執行低通濾波時，所提技術之節能效益最高可達30.8%。最後，本論文將所提出之電源軌調變技術應用於即時影像處理系統中並探索其先天的容錯

能力。我們利用人眼視覺可將視訊中相鄰影格及影格中鄰近畫素進行視覺積分的特性，來達到即使不須對時序錯誤進行主動偵測及修正也能維持一定視覺品質的效果。因此，藉由巧妙安排容許時序錯誤發生之位置（藉由降低操作電壓），因時序錯誤所產生的錯誤畫素即可主動被人眼濾除。 該測試晶片以聯電40奈米製程實現，其搭載了一個即時視訊縮放引擎作為測試載具。在實驗結果中，該測試晶片展現了高達35%的節能效益，並能在不需對時序錯誤做出任何修正、且不須更動資料路徑架構的狀況下，仍能維持良好的主觀視覺感受。在五分制的平均主觀意見分數(mean opinion score)評量中，各類型的畫面皆達4分以上。而在客觀評量方面，峰值

信號雜訊比(peak signal-to-noise ratio)皆高於30分貝。