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臺灣百年文學期刊史(精裝)

為了解決楓燊的問題，作者古遠清 這樣論述：

　　臺灣雜誌，種類多元，傳播廣泛，可謂是百花齊放。本書主要聚焦以書寫與印刷作為媒介的文學雜誌，藉由了解其歷史的脈絡，進一步挖掘臺灣文學雜誌的發展軌跡，從而探討期刊雜誌的未來發展。新世紀，新時代，文學刊物仍會在荊棘叢中，開出美麗的鮮花。  

楓燊進入發燒排行的影片

數學形態學導出多參數持續同調之層狀結構

為了解決楓燊的問題，作者胡全燊 這樣論述：

Topological Data Analysis (TDA), a fast-growing research topic in applied topology, uses techniques in algebraic topology to capture features from data. Its importance has been discovered in many areas, such as medical image processing, molecular biology, machine learning, and pattern recognition.

Persistent homology (PH) is vital in topological data analysis that detects local changes in filtered topological spaces. It measures the robustness and significance of homological objects in spaces' deformation, such as connected components, loops, or higher dimensional voids. In Morse theory, filt

ered spaces for persistent homology usually rely on a single parameter, such as the sublevel set filtration of height functions. Recently, as a generalization of persistent homology, computational topologists began to be interested in multi-parameter persistent homology. Multi-parameter persistent h

omology (or multi-parameter persistence) is an algebraic structure established on a multi-parametrized network of topological spaces and has more fruitful geometric information than persistent homology. So far, finding methods to extract features in multi-parameter persistence is still an open and

concentrating topic in TDA. Also, examples of multi-parameter filtration are still rare and limited. The three principal contributions of this dissertation are as follows. First, we combined persistent homology features (persistence statistics and persistence curves) and machine learning models for

analyzing medical images. We found that adding topological information into machine learning models can improve recognition accuracy and stability. Second, unlike traditional construction for multi-parameter filtrations in Euclidean spaces, we propose a framework for constructing multi-parameter fi

ltrations from digital images through mathematical morphology and discrete geometry. Multi-parameter persistence derived from mathematical morphology is more efficient for computing and contains intuitive geometric attributes of objects, such as the sizes or robustness of local objects in digital im

ages. We involve these features to remove the salt and pepper noise in digital images as an application. Compared with current denoise algorithms, the proposed approach has a more stable accuracy and keeps the topological structures of original data. The third part of this dissertation focuses on us

ing sheaf theory to analyze the lifespans of objects in multi-parameter persistence. The multi-parameter persistence has a natural sheaf structure by equipping the Alexandrov topology on the based partially ordered set. This sheaf structure uncovers the gluing properties of local image regions in th

e multi-parameter filtration. We referred to these properties as a fingerprint of the filtration and applied them for the character recognition task. Finally, we propose using sheaf operators to define ultrametric norms on local spaces in multi-parameter persistence. Like persistence barcodes, this

metric provides finer geometric and topological quantities.

臺灣百年文學期刊史(平裝)

為了解決楓燊的問題，作者古遠清 這樣論述：

　　臺灣雜誌，種類多元，傳播廣泛，可謂是百花齊放。本書主要聚焦以書寫與印刷作為媒介的文學雜誌，藉由了解其歷史的脈絡，進一步挖掘臺灣文學雜誌的發展軌跡，從而探討期刊雜誌的未來發展。新世紀，新時代，文學刊物仍會在荊棘叢中，開出美麗的鮮花。  

科技門禁管理應用之可行性分析 －以X保全公司為例

為了解決楓燊的問題，作者孫瑞澤 這樣論述：

保全業乃是以人為中心的服務密集產業，隨著資訊科技的進步，保全與科技門禁系統已逐漸整合。從單純的以人為主的服務模式，逐步地增加科技門禁管理設備，未來更有可能取代人力。本研究希望同時從業者及住戶的角度，針對科技門禁系統與保全業務整合之可行性進行分析，並根據分析結果提供實務上之建議。本研究採取深入訪談方式來搜集資料，分成三個部分：第一部分探討保全業因應措施，第二部分探討可行性分析，第三部分探討未來機會與轉型。以X保全公司為研究標的，探討管理委員會、保全員、住戶其經驗與實際感受，進行分析與歸納，期望結果能協助保全業、相關廠商、管理委員會、住戶、保全人員採用科技門禁決策之參考。