問題的答案無所不包論文書籍站
南臺科技大學 全球經營管理碩士班 朱大中所指導 羅婉瑜的 A Hybrid Method Based on AHP and ELECTRE for the Plant Location Selection Problem （2019），提出2014 S600關鍵因素是什麼，來自於。
而第二篇論文國立臺灣大學 資訊工程學研究所 蔡欣穆所指導 游子緒的 以單像素成像系統定位及辨識反射式標記 （2019），提出因為有 單像素成像系統、壓縮感知、數位微鏡裝置、數位訊號處理、可見光定位的重點而找出了 2014 S600的解答。
2014 S600進入發燒排行的影片
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A Hybrid Method Based on AHP and ELECTRE for the Plant Location Selection Problem
為了解決2014 S600 的問題，作者羅婉瑜 這樣論述：
The plant location problem exists in diverse industries that are influenced by globalization, intense market competition as well as industrial migration, and rolling flat dies industry, one of the suppliers of the screw fastener industry, is no exception. Many criteria must be considered when evalu
ating plant locations and those criteria may have different importance. Therefore, evaluating plant locations is a multiple criteria decision-making problem. The purpose of this study is to evaluate and select plant locations by an analytic hierarchy process (AHP) based ELimination Et Choice Transla
ting Reality (ELECTRE) method. The AHP method is used to obtain the criteria weights, while the ELECTRE method is used to complete the ranking procedure of the alternative locations for decision-making. The thread rolling flat dies is one of Taiwan’s traditional manufacturing industries which faces
plant migration problems. In this study, a numerical example of plant location selection of a thread rolling flat dies company in Taiwan is conducted to demonstrate the feasibility of the suggested method. Finally, numerical comparisons of two different derivations of weights in AHP and several rank
ing approaches in ELECTRE is made to display that the ranking order of alternative locations may differ if ratings of alternative locations versus qualitative criterion differ and some other interesting findings.
以單像素成像系統定位及辨識反射式標記
為了解決2014 S600 的問題，作者游子緒 這樣論述：
基於相機的可見光定位系統有容易受環境光干擾的缺點。本研究提出一基於單像素成像系統的定位系統。此系統可利用頻率選擇性從干擾中分離出調變的光訊號，而一般相機因為其幀率太低無法利用頻率選擇性。另外，此系統亦可利用空間選擇性。基於 retroreflector 的反射式標記可集中反射光至入射光的來向，使得環境中其他物體的反射光相對黯淡。此定位系統中的單像素成像系統由一數位微鏡裝置及一光電探測器構成，並利用壓縮感知重建拍攝的場景。在壓縮感知重建的過程中加入非負的限制可以大幅增強重建影像的品質，但一般的重建演算法需要非常長的重建時間。本研究提出一改進版本的 in-crowd 演算法以加速重建過程，實現實
時的定位。