Actual case的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列特價商品、必買資訊和推薦清單

Behind the Brand: Stories from Some of the Most Intriguing Innovators, Entrepreneurs and the Reasons Behind Their Success

為了解決Actual case的問題，作者Elliott, Bryan 這樣論述：

For more than a decade, Bryan Elliot has interviewed some of the most successful people in the world--Seth Godin, Simon Sinek, Marie Kondo, Kevin O’Leary, Russel Wilson, Danica Patrick, Sir Ken Robinson, Ann Wojiski, Malcolm Gladwell, Kendra Scott--uncovering key insights into their personal jour

neys.In early 2008, Bryan Elliott began reaching out to people he admired to create a show that literally took him (and his audience) behind their brand to learn the secrets of their success.The secret formula for the show is that Elliott goes in the trenches with his audience. Journalists from NPR

often try and document similar case studies but lack actual business experience and context. Mega successful entrepreneurs-turned-show ＂hosts＂ are mainly in the game to promote themselves. Elliott’s approach is about shining the spotlight on his guests and asking the kinds of questions that reveal p

ractical answers to help others improve their life and business.

Actual case進入發燒排行的影片

應用HHT於水位自動資料檢核系統

為了解決Actual case的問題，作者蕭武賢 這樣論述：

臺灣地區河川水位變化頻繁，由於水位資料需要現地監測取得，但現地可能有各種狀況，如儀器故障、傳輸異常及人為疏失等干擾，皆會影響其數據真實性，因此原始資料必須先執行品管檢核程序，將異常且不合理數據過濾排除，以利提供於水文研究分析較準確之數據使用。本研究所建立之自動化檢核程序利用希爾伯特-黃轉換(Hilbert-Huang ransform, HHT)達到檢核之目標，此方法為黃鍔博士於2009年所提出之時頻分析法，將訊號進行拆解並且分析各自瞬時頻率與振幅能量之相互關係。首先使用整體經驗模態分解法(Ensemble Empirical Mode Decomposition, EEMD)進行拆解，瞭解

此訊號之組成要素因子，為有限個本質模態函數(Intrinsic Mode Functions, IMF)以及一個剩餘函數(residual)，為達到辨識出異常值特徵，因此需最大程度表現出水位變化之突波(spike)與異常值的IMF分量，故而僅選擇第一個IMF分量進行希爾博伯特轉換(Hilbert Transform, HT)，轉換後可取得其時間-振幅能量關係圖，觀察該分量之振幅起伏對應真實水位情況，可知道其異常值之振幅數值，當振幅數值越大就可能有異常值出現，反之則為趨向合理情況，藉由觀察各點之振幅數值大小，設定一閥值作為過濾異常值之判斷依據，將超過閥值的點位過濾並排除，而選定閥值大小能控制品管

檢核結果，故可調節不同閥值進一步左右篩選結果，以此達到自動化檢核水位資料之目的。本研究使用傳統人工品管檢核作為標準取得該閥值，利用此閥值完成自動化檢核之最終篩選依據。為降低人工檢核時之人為因子影響結果，故而選定以與人工品管檢核結果約95%相似，若較保守設定其閥值，可盡量避免破壞原始數據之真實物理意義，篩選結束後仍可使用人工檢查確保其數據正確。依據品管檢核的結果得知，可發現自動化檢核可篩選出幾乎全部的異常值，將人工觀察到之明顯突波異常值，能盡量過濾剃除，並且對篩選結果以線性內插進行資料補遺，讓水位資料以連續且完整狀態呈現。自動化檢核程序相比人工檢核程序，能縮短檢核時間且節省檢核人員精力，提供更為

穩定運作之水位品管檢核程序，亦可更為靈活地根據不同篩選需求調整過濾門檻。

The Three Death Sentences of Clarence Henderson: A Battle for Racial Justice at the Dawn of the Civil Rights Era

為了解決Actual case的問題，作者Joyner, Chris 這樣論述：

A shocking history of racial injustice and the valiant efforts to secure a Black man’s freedom--now in paperbackThe Three Death Sentences of Clarence Henderson is the story of Clarence Henderson, a wrongfully accused Black sharecropper who was sentenced to die three different times for a murder he d

idn’t commit, and the prosecution desperate to pin the crime on him despite scant evidence. His first trial lasted only a day and featured a lackluster public defense. The book also tells the story of Homer Chase, a former World War II paratrooper and New England radical who was sent to the South by

the Communist Party to recruit African Americans to the cause while offering them a chance at increased freedom. And it’s the story of Thurgood Marshall’s NAACP and their battle against not only entrenched racism but a Communist Party--despite facing nearly as much prejudice as those they were tryi

ng to help--intent on winning the hearts and minds of Black voters. The bitter battle between the two groups played out as the sides sparred over who would take the lead on Henderson’s defense, a period in which he spent years in prison away from a daughter he had never seen. Through it all, The Th

ree Death Sentences of Clarence Henderson is a portrait of a community, and a country, at a crossroads, trying to choose between the path it knows is right and the path of least resistance. The case pitted powerful forces--often those steering legal and journalistic institutions--attempting to use r

acism and Red-Scare tactics against a populace that by and large believed the case against Henderson was suspect at best. But ultimately, it’s a hopeful story about how even when things look dark, some small measure of justice can be achieved against all the odds, and actual progress is possible. It

’s the rare book that is a timely read, yet still manages to shed an informative light on America’s past and future as well as it’s present. Chris Joyner is an investigative reporter with the Atlanta Journal-Constitution with more than two decades of experience in journalism, ranging from communi

ty newspapers to national and international news and wire services. He reported from the scene of Hurricane Katrina in 2005 and the Deepwater Horizon oil spill of 2010. As an investigative reporter, he focuses on uncovering hidden communities, and has written about street gangs and life inside a sup

ermax prison, the hidden world of government lobbying, and a white-collar criminal network built around a drug testing lab. He lives in Atlanta.

口罩配戴影像辨識在不同環境影響之探討-以高斯雜訊為例

為了解決Actual case的問題，作者林郁修 這樣論述：

世界各地受到新型冠狀病毒的影響，外出佩戴口罩成了人們基本防疫措施，為了降低不必要的接觸風險部分工作場所與設施都將防疫系統架設在門口，測量體溫、辨識人臉上的口罩等都涵蓋在防疫系統功能中而且這些功能與物件偵測技術息息相關，但考慮到實際情況的環境變化和干擾都會影響物件偵測系統的辨識效果，其中影像雜訊干擾就是影響辨識效果的因素之一，因此本論文探討高斯雜訊影像對於物件偵測統效能的影響及辨識上的變化。本研究使用深度學習結合影像辨識的應用YOLO V4物件偵測系統辨識人臉上的口罩訓練及辨識原始口罩影像和加入不同程度高斯雜訊影響的口罩影像，在口罩數據集準備階段利用四種狀況的數據集訓練YOLO V4模型分別為

：(狀況1)原始口罩影像數據集、(狀況2)將原始口罩影像數據集全部影像加入高斯雜訊環境、(狀況3)將原始口罩影像數據集的部分影像加入高斯雜訊環境、(狀況4)原始口罩影像數據集+部分影像加入高斯雜訊環境口罩影像數據集(又可以稱為經過數據增強的原始口罩影像數據集)，比較四種狀況數據集的模型效能與辨識效果。從實驗結果中得知，經過數據增強的狀況4數據集mAP為76.72%且辨識原始口罩影像和三種不同程度高斯雜訊環境影像的平均辨識率達到81.25%，是四種狀況數據集模型中最好的一組，同時也證明根據環境因素需求以數據增強方式提升數據集數量確實能夠提升模型效能和辨識效果。