歡迎來到演算法、軟體和硬體三位一體的未來世界論文書籍站
Proceed in parallel的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理
Proceed in parallel的問題，我們搜遍了碩博士論文和台灣出版的書籍，推薦Gil, José J.,Ossikovski, Razvigor寫的 Polarized Light and the Mueller Matrix Approach 和的 Network and Parallel Computing: 18th IFIP WG 10.3 International Conference, NPC 2021, Paris, France, November 3-5, 2021, Proceed都 可以從中找到所需的評價。
另外網站parallel proceedings - Indian Kanoon也說明：subject-matter of a pending criminal case, resulting in parallel ... appeal the court could proceed on the basis that parallel proceedings in two separate ...
這兩本書分別來自 和所出版 。
國立陽明交通大學 資訊科學與工程研究所 陳志成所指導 王嘉誠的 衛星失效區域定位方法 （2021），提出Proceed in parallel關鍵因素是什麼，來自於定位、導航、衛星失效區域、路層偵測、氣壓、磁指紋。
而第二篇論文國立聯合大學 管理碩士在職學位學程 黃俊寧所指導 劉芳萍的 以基因演算法優化生產排程 （2021），提出因為有 排程、工單資訊、基因演算法、Python程式語言的重點而找出了 Proceed in parallel的解答。
最後網站Add parallel branches in flows and five new services則補充：Today, we are announcing that Microsoft Flow supports parallel execution as ... will only proceed once all parallel steps have completed.
Polarized Light and the Mueller Matrix Approach
為了解決Proceed in parallel 的問題，作者Gil, José J.,Ossikovski, Razvigor 這樣論述：
An Up-to-Date Compendium on the Physics and Mathematics of Polarization Phenomena Now thoroughly revised, Polarized Light and the Mueller Matrix Approach cohesively integrates basic concepts of polarization phenomena from the dual viewpoints of the states of polarization of electromagnetic waves
and the transformations of these states by the action of material media. Through selected examples, it also illustrates actual and potential applications in materials science, biology, and optics technology. The book begins with the basic concepts related to two- and three-dimensional polarization s
tates. It next describes the nondepolarizing linear transformations of the states of polarization through the Jones and Mueller-Jones approaches. The authors then discuss the forms and properties of the Jones and Mueller matrices associated with different types of nondepolarizing media, address the
foundations of the Mueller matrix, and delve more deeply into the analysis of the physical parameters associated with Mueller matrices. The authors proceed with introducing the arbitrary decomposition and other useful parallel decompositions, and compare the powerful serial decompositions of depolar
izing Mueller matrices. They also analyze the general formalism and specific algebraic quantities and notions related to the concept of differential Mueller matrix. Useful approaches that provide a geometric point of view on the polarization effects exhibited by different types of media are also com
prehensively described. The book concludes with a new chapter devoted to the main procedures for filtering measured Mueller matrices.Suitable for advanced graduates and more seasoned professionals, this book covers the main aspects of polarized radiation and polarization effects of material media. I
t expertly combines physical and mathematical concepts with important approaches for representing media through equivalent systems composed of simple components.
衛星失效區域定位方法
為了解決Proceed in parallel 的問題，作者王嘉誠 這樣論述：
Contents iList of Tables vList of Figures vi1 Introduction 12 Background and Related Works 32.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.1.1 Road layer determination . . . . . . . . . . . . . . . . . . . . . . . . . 32.1.2 Positioing in sheltered environ
ment . . . . . . . . . . . . . . . . . . . 62.2 Related Works . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.2.1 Road layer determination . . . . . . . . . . . . . . . . . . . . . . . . . 82.2.2 Positioning in GNSS-denied environments . . . . . . . . . . . . . . . 122.2.3 M
agnetic field positioning . . . . . . . . . . . . . . . . . . . . . . . . 132.2.4 Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.3 Challenges . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163 Preliminary experiment toward various impact fac
tor 183.1 Barometric impact factor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.1.1 Preliminary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.1.2 Precision and accuracy of the air-pressure sensors in smartphones . . . 253.1.2.1 Static experiment . . . . . . . .
. . . . . . . . . . . . . . . 263.1.2.2 Dynamic experiment . . . . . . . . . . . . . . . . . . . . . 273.1.3 Impact of Weather . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283.1.4 Impact of driving environment . . . . . . . . . . . . . . . . . . . . . . 313.1.4.1 External temperature eff
ect . . . . . . . . . . . . . . . . . . 313.1.4.2 Internal temperature effect . . . . . . . . . . . . . . . . . . . 323.1.4.3 Speed effect . . . . . . . . . . . . . . . . . . . . . . . . . . 333.1.4.4 Impact of surrounding vehicles . . . . . . . . . . . . . . . . 373.1.5 Impact of air conditioning .
. . . . . . . . . . . . . . . . . . . . . . . 383.1.6 The combination of all factors . . . . . . . . . . . . . . . . . . . . . . 393.2 Magnetic field impact factor . . . . . . . . . . . . . . . . . . . . . . . . . . . 403.2.1 Sensors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. 403.2.1.1 Orientation . . . . . . . . . . . . . . . . . . . . . . . . . . . 403.2.1.2 Sensor drift . . . . . . . . . . . . . . . . . . . . . . . . . . 413.2.1.3 Smartphones . . . . . . . . . . . . . . . . . . . . . . . . . . 413.2.2 Vehicles . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . 433.2.2.1 Charging . . . . . . . . . . . . . . . . . . . . . . . . . . . . 433.2.2.2 In-car electrical appliances . . . . . . . . . . . . . . . . . . 443.2.2.3 Vehicle types . . . . . . . . . . . . . . . . . . . . . . . . . . 453.2.2.4 Nearby vehicles . . . . . . . . . . . . . . . . . .
. . . . . . 463.2.3 Magnetic field variations . . . . . . . . . . . . . . . . . . . . . . . . . 484 Proposed method in GNSS-denied environment 514.1 Proposed BARLD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 514.1.1 Database . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . 524.1.2 Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 524.1.3 Initial level determination . . . . . . . . . . . . . . . . . . . . . . . . 534.1.4 Multi-upper levels within the range d1 . . . . . . . . . . . . . . . . . . 544.1.4.1 Connected ramps or roads
are not parallel . . . . . . . . . . 544.1.4.2 Ramps are parallel but with a height difference . . . . . . . . 544.2 Proposed MVP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 554.2.1 Accuracy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 554.2.2 Positioning
speed (delay) . . . . . . . . . . . . . . . . . . . . . . . . . 574.2.3 Proposed MVP algorithm . . . . . . . . . . . . . . . . . . . . . . . . 584.2.4 Robustness to phone orientation . . . . . . . . . . . . . . . . . . . . . 604.2.5 Magnetic field map (ground truth) . . . . . . . . . . . . . . . .
. . . . 604.2.5.1 Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . 614.2.5.2 Implementation . . . . . . . . . . . . . . . . . . . . . . . . 624.2.6 INS-based positioning system . . . . . . . . . . . . . . . . . . . . . . 635 Evaluation and Discussion 655.1 Road layer determination . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . 655.1.1 Threshold (δ) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 665.1.2 Sampling rate (R) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 685.1.3 Activation Range (d1) . . . . . . . . . . . . . . . . . . . . . . . .
. . 705.1.4 Large-scale Road test . . . . . . . . . . . . . . . . . . . . . . . . . . . 725.2 Road tests in different tunnels . . . . . . . . . . . . . . . . . . . . . . . . . . 735.2.1 Accuracy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73iii5.2.2 Lane determination . . . .
. . . . . . . . . . . . . . . . . . . . . . . . 745.2.3 Positioning speed (delay) . . . . . . . . . . . . . . . . . . . . . . . . . 755.2.4 Cost . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 775.3 Large-scale real-road tests . . . . . . . . . . . . . . . . . . . . . . . . .
. . . 775.3.1 Accuracy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 785.3.2 Lane determination . . . . . . . . . . . . . . . . . . . . . . . . . . . . 785.3.3 Positioning speed (delay) . . . . . . . . . . . . . . . . . . . . . . . . . 795.3.4 Car orientation variations . . . .
. . . . . . . . . . . . . . . . . . . . . 815.3.5 High speed and low sampling rate . . . . . . . . . . . . . . . . . . . . 815.3.6 Traffic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 825.3.7 Bridges and parking garages . . . . . . . . . . . . . . . . . . . . . . . 825.4 Dis
cussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 835.4.1 Road layer determination . . . . . . . . . . . . . . . . . . . . . . . . . 835.4.2 Positioning in sheltering environment . . . . . . . . . . . . . . . . . . 846 Conclusion 86Bibliography 87
Network and Parallel Computing: 18th IFIP WG 10.3 International Conference, NPC 2021, Paris, France, November 3-5, 2021, Proceed
為了解決Proceed in parallel 的問題，作者 這樣論述：
Algorithms and Applications.- High Resolution of City-Level Climate Simulation by GPU with Multi-Physical Phenomena.- dgQuEST: Distributed-GPU Accelerated Large Scale Quantum Circuit Simulation.- vSketchDLC: A Sketch on Distributed Deep Learning Communication via Fine-grained Tracing Visualization.-
Scalable Algorithms Using Sparse Storage for Parallel Spectral Clustering on GPU.- XSP: Fast SSSP Based on Communication-Computation Collaboration.- A Class Of Fast And Accurate Multi-layer Block Summation And Dot Product Algorithms.- A KNN Query Method for Autonomous Driving Sensor Data.- System S
oftware and Resource Management.- A Novel Task-Allocation Framework based on Decision-Tree Classification Algorithm in MEC.- QoS-Aware Scheduling for Cellular Networks Using Deep Reinforcement Learning.- Adaptive Buffering Scheme for PCM/DRAM-Based Hybrid Memory Architecture.- Efficiency-First Fault
-Tolerant Replica Scheduling Strategy for Reliability Constrained Cloud Application.- Towards an Optimized Containerization of HPC Job Schedulers based on Namespaces.- Architecture of an On-time Data Transfer Framework in Cooperation with Scheduler System.- Storage.- Data Delta Based Hybrid Writes f
or Erasure-Coded Storage Systems.- BDCuckoo: An Efficient Cuckoo Hash for BlockDevice.- A Two Tier Hybrid Metadata Management mechanism for NVM Storage System.- A Novel CFLRU-based Cache Management Approach for NAND-based SSDs.- Networks and Communications.- Taming Congestion and Latency in Low-Diam
eter High-Performance Datacenters.- Evaluation of Topology-Aware All-reduce Algorithm for Dragon y Networks.- MPICC: Multi-Path INT-based Congestion Control in Datacenter Networks.
以基因演算法優化生產排程
為了解決Proceed in parallel 的問題，作者劉芳萍 這樣論述：
目前任職之單位以往進行人員工作配置都使用人工（手動）的方式進行編排，每次編排所花費的時間約為一個小時且容易發生錯誤，因此需要反覆確認排程後人員工作配置是否正確；再者，遇時程發生變化或急件產品的插入又需要耗費時間重新進行排程編排，此舉同樣容易出現錯誤或造成時程衝突。本論文探討生產排程系統之規劃與實現，研究首先進行工作流程分析，確認工件投入之時程、工作流程、人員配合、片數等資訊，而後以系統分析與設計之邏輯進行資訊系統開發及程式設計之相關分析，使用基因演算法模組調整最符合之各種參數設定值來尋找最佳排程及人力配置的問題，並使用Python程式語言實現生產排程平台的開發，以產生即時的生產排程，自動即時
產出工作人員之執行工作排程表及生產排程。本研究開發的生產排程系統測試結果顯示: 1.平台能因應產品及人員調整或時程變更產出排程表之工單資訊，有效地減少排程時間及人為錯誤的發生 2.新開發的系統能更有效避免人工排程所造成嚴重漏單、多張重複排程，而影響時程等現象 3.未來還可結合網頁模式直接輸入，提升平台之使用性；或是增加輸入選項，提供實務排程需求之最佳建議。