hirai的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

Policing the Police in Asia: Police Oversight in Japan, Hong Kong, and Taiwan

為了解決hirai的問題，作者Education University of Hong Kong,Chan, Jason Kwun,Den Heyer, Ga 這樣論述：

Dr Lawrence Ka-ki Ho is an Assistant Professor in the Department of Social Sciences at the Education University of Hong Kong, Hong Kong. His research interests are the history and sociology of policing, comparative policing practices, public order management, criminal justice systems, and public pol

icies. Lawrence is currently undertaking several research projects on Hong Kong policing and comparative policing practices, including the professionalization of Hong Kong Police, the transforming role of the policewomen; policing in colonial & SAR Hong Kong & Macau, private policing in Hong Kong, y

outh and deviance policing, and comparative policing strategies for protest management.Jason Kwun-hong Chan is a PhD Candidate at the Department of Public Policy, City University of Hong Kong. He is interested in private police, policing studies, social movement, state-society relationship, and colo

nial Hong Kong history. He also served as sessional lecturer and research assistants in various tertiary institutions in Hong Kong.Dr Garth den Heyer is a researcher in policing and counter terrorism and instructor with the School of Criminology and Criminal Justice at Arizona State University. He w

as a New Zealand police officer for more than 38 years, retiring at the rank of inspector. For more than 20 years he was responsible for the research, development and application of national, organizational and border security, counterterrorism, emergency management, and search and rescue and disast

er victim identification, policies, procedures, plans and responses. He has been with ASU since the summer semester of 2015 and teaches courses in homeland security, and international and domestic terrorism.Dr Jen-shuo Hsu is an Assistant Professor in the Graduate School of Law at the Hokkaido Unive

rsity, Japan. His research interests are the history, law, policy and sociology of policing in East Asia, sociology of law, human rights, social movement, legal mobilization and judicial system. Hsu is currently undertaking several researches on post-colonial policing in East Asia, comparative polic

e law and protest policing, history of political policing and the democratization of policing in Taiwan and Japan, and legal mobilization movement in East Asia.Dr Arata Hirai is an Assistant Professor (Junior Researcher) in the Organization for Regional and Inter-regional Studies at WASEDA Universit

y, Japan. He earned PhD in Political Science from WASEDA University. He is also a PhD Candidate at the School of International Studies, Peking University, China. His research interests are Transitional Justice, comparative politics, East Asian studies, the history and politics of Taiwan, the social

movements and policing in East Asian countries. Arata is currently workingon various comparative research projects mainly including the politics and laws of Transitional justice, the memory activisms after WW2 and the police oversight mechanisms.

hirai進入發燒排行的影片

具有綠光雷射結晶多晶矽通道之T型閘薄膜電晶體射頻特性分析

為了解決hirai的問題，作者葉宇婕 這樣論述：

本論文中，我們研究具有T型閘極、空氣邊襯及矽化閘/源/汲極多晶矽薄膜電晶體的射頻特性。為了提升多晶矽薄膜的晶粒尺寸，我們使用綠光奈秒雷射來製備厚度為50 nm與100 nm的多晶矽薄膜。結果顯示厚度為100 nm的薄膜能得到等效尺寸大於1 μm的晶粒大小，遠優於50 nm厚的多晶矽薄膜。我們於元件製作時採用了新穎的T型閘極技術，不僅降低元件的閘極電阻，也使電晶體具有比微影技術解析極限更小的閘極線寬，使轉導得以大幅提升。我們也分別利用高溫的快速熱退火及低溫的微波退火來活化源汲極雜質。在通道厚度為100 nm並以快速熱退火進行源汲極活化的多晶矽薄膜電晶體中，對最小通道長度達124 nm之元件，截

止頻率可達59.7 GHz，最大震盪頻率亦可達34 GHz。具有相同通道厚度並以微波退火來活化雜質的電晶體中，當通道長度微縮至102 nm，元件的截止頻率更高達63.6 GHz，最大震盪頻率亦可達29.7 GHz。相較過往文獻報導的多晶矽薄膜元件，我們以微波活化源汲極的薄膜電晶體達到了最高的截止頻率。

Towards Infrared Finite S-Matrix in Quantum Field Theory

為了解決hirai的問題，作者Hirai, Hayato 這樣論述：

Introduction and Summary.- Asymptotic Symmetry.- Infrared Divergences.- Equivalence Between Soft Theorem and Asymptotic Symmetry.- Towards the IR nite S-matrix.- Conclusion and Further Discussion.- Appendix.

基於機器學習之智能合約漏洞檢測

為了解決hirai的問題，作者周軒丞 這樣論述：

摘要 iABSTRACT ii目錄 iii表目錄 v圖目錄 vi一、 緒論 11.1 研究背景 11.2 研究動機與目的 21.3 研究流程 3二、 文獻探討 42.1 區塊鏈 42.1.1 乙太坊(Ethereum) 42.1.2 智能合約的位元組碼(Byte code)及操作碼(Operation code) 62.2 智能合約的漏洞 82.3 人工神經網路 112.4 卷積神經網路 132.4.1 卷積層 142.4.2 池化層 152.4.3 全連接層 162.5 N-gram 162.6 機器學習 172.6.1 隨機森林(Random F

orest, RF) 172.6.1 極限梯度提升(XGBoost, XGB) 182.6.3自適應增強(AdaBoost，Ada) 182.6.4 支持向量機(SVM) 182.6.5 KNN 192.6.6 邏輯回歸(Logistic Regression, LR) 192.7 相關研究 19三、 研究方法 213.1 研究架構 213.2 系統架構 223.2.1 蒐集合約與opcode獲取 233.2.2 簡化操作碼 253.2.3 操作碼特徵擷取 263.2.4 特徵向量化 273.2.5 漏洞檢測 283.3 實驗模型架構 293.3.1 分類模型

29四、 實驗結果與績效比較 314.1 特徵向量化比較 324.2 Opcode簡化比較 334.3 分類器比較 36五、 結論 385.1 研究限制與未來研究建議 38參考文獻 39