Point at的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列免費下載的地點或者是各式教學

Strategically Transforming the Mortgage Banking Industry: Thought Leadership on Disruption from Maverick Ceos

為了解決Point at的問題，作者Deitch, James 這樣論述：

Strategically Transforming the Mortgage Banking Industry discusses how to strategically transform a real estate lender's business to increase efficiency and profits using case studies of twenty-five mortgage banking industry leaders who are changing the industry by leveraging proactive strategies an

d solutions. Many in the industry appear to accept the 'no strategy' view of the mortgage banking business but at this point in its history, there are many strategic choices that can be freely made by mortgage executives. Some executives, in fact, are rapidly examining strategy and becoming disrupt

ors in the industry. This book discusses the history of the mortgage industry, disruptions in the established business models, as well as how to harness these disruptive forces and use them to your advantage. James Deitch, CEO, Teraverde Management Advisors, USA

Point at進入發燒排行的影片

探討認知師徒制融入數位學習之學習成效及自主學習行為-以醫放系實習生學習上腹部超音波病灶辨認為例

為了解決Point at的問題，作者蘇于珊 這樣論述：

近幾年，受到疫情的影響使得數位學習在教學領域上的應用愈來愈普遍，數位學習運用在醫學領域相關課程的學門逐漸受到重視。醫院放射科的超音波技術非常重視實作經驗及影像辨認，一向使用師徒制的方式來進行教學，每位實習生所遇到的病灶量與質有差異，且學習過程缺少了反思和探索。因此本研究運用融入認知師徒制之數位學習來進行上腹部超音波病灶之教學，以到醫院實習的醫放系22位實習生為研究對象，希望能藉此提升實習生辨認超音波病灶的學習成效、並探討其學習滿意度及自主學習行為。結果發現運用數位學習上腹部超音波的方式確實能夠提升實習生辨認超音波病灶的學習成效，且整體學習滿意度頗佳，自主學習能力也有提升學習滿意度及自主學習之

間具有顯著相關，且學生的自主學習能力與專題報告也呈現顯著正相關。建議臨床教師推動數位學習融入超音波實習課程，可採用同步線上課程和非同步線上課程的搭配方式及利用線上討論和通訊軟體提供互動活動，未來研究可融入自主學習策略於教學探討對學生自主學習行為和能力的幫助。

Architectural Education in 21st Century Asia: How to Learn Architecture

為了解決Point at的問題，作者Kheng, Soon Tay 這樣論述：

As Asia heads into the new 21st Century era a new architecture is called for. It needs now to think of a future in which social justice, cultural justice and environmental justice are fully reflected in its buildings and human settlement designs. Towards these ends, new thinking must emerge in our a

rchitecture schools and in the new graduates they educate.New Asian architects must be able of finding new design languages, expressions, new geometries within new working methods capable of engaging in trans-disciplinary discourses and be able to inspire the masses of people at all levels of societ

y to the new future Asia will lead globally. To do this, this book advocates and calls attention to learning basic skills lost in the context of rapid urbanisation and distortions caused to deep Asian civilizational values. In this process, the fostering of relevant attitudes through empowering our

Asian architecture students is of the utmost importance. There are many examples of such empowerment in this book.The new pedagogy will challenge tutors as it will students as our architecture schools join in the quest for the new Asian architect and the new Asian architecture. The starting point is

through understanding the special learning situations peculiar to our Asian students in the particular context of Asia's rapid modernization.

考量CSI相位偏移偵測與校正之室內定位演算法

為了解決Point at的問題，作者林聖曄 這樣論述：

通道狀態資訊(Channel StateInformation, CSI)可用於室內定位，起到監視人們生活的作用。它使用Wi-Fi多通道訊號，不受光源、聲音干擾，並具備優異的角度、距離感測能力。本文研究中心頻率5.22GHz，頻寬20MHz，56子載波的CSI量測值。在9個不同位置，收集實驗室中57個位置傳送的CSI訊號。在本研究中，我們發現隨機π跳動問題，使得每根天線的相位可能出現±π偏移，這主要是硬件的鎖相環造成的。由於相位的不同，三根天線之間有四種可能的相位差組合。為了估計使用者的位置，我們把CSI量測值轉化為熱力圖作為深度學習網路模型的輸入，來解決本問題。為了克服多路徑效應，經由多訊

號分類(Multiple Signal Classification, MUSIC)計算出到達角(Angle of Arrival, AoA)與飛行時間(Time of Flight, ToF)的熱力圖。然而，由於ToF量測平台存在延時偏移，在本研究中，把熱力圖最大值對應的距離平移到信號強度(Received Signal Strength Indicator, RSSI)對應的距離，再以接入點(access point, AP)的位置為中心，朝向為AoA參考方向，把極坐標轉為直角坐標。由於每根天線可能有π相位偏移，三根天線之間有四種相位組合，所以每筆資料的Rx有四張熱力圖。本文以卷積神經網路

(Convolutional Neural Network, CNN)、殘差神經網路(Residual Neural Network, ResNet)等神經網絡組成的深度學習網路(Deep Learning based wireless localization, DLoc)，用訓練出的模型對不同位置的預測準確度，來探究AP數量、相位校正等因素對深度學習效能的影響，並與深度卷積網路(Deep Neural Network, DNN)和SpotFi的方法在校正π相位偏移的效能上作對比。