hardware equipment l的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列地圖、推薦、景點和餐廳等資訊懶人包

Gas Purification

為了解決hardware equipment l的問題，作者Kohl, Arthur L./ Nielsen, Richard B. 這樣論述：

This massively updated and expanded fifth edition is the most complete, authoritative engineering treatment of the dehydration and gas purification processes used in industry today. Of great value to design and operations engineers, it gives practical process and equipment design descriptions, basic

data, plant performance results, and other detailed information on gas purification processes and hardware. This latest edition incorporates all significant advances in the field since 1985. You will find major new chapters on the rapidly expanding technologies of nitrogen oxide control, with disc

ussions of regulatory requirements and available processes; absorption in physical solvents, covering single component and mixed solvent systems; and membrane permeation, with emphasis on the gas purification applications of membrane units. In addition, new sections cover areas of strong current int

erest, particularly liquid hydrocarbon treating, Claus plant tail gas treating, thermal oxidation of volatile organic compounds, and sulfur scavenging processes. This volume brings you expanded coverage of alkanolamines for hydrogen sulfide and carbon dioxide removal, the removal and use of ammonia

in gas purification, the use of alkaline salt solutions for acid gas removal, and the use of water to absorb gas impurities. The basic technologies and all significant advances in the following areas are thoroughly described: sulfur dioxide removal and recovery processes, processes for converting hy

drogen sulfide to sulfur, liquid phase oxidation processes for hydrogen sulfide removal, the absorption of water vapor by dehydrating solutions, gas dehydration and purification by adsorption, and the catalytic and thermal conversion of gas impurities.

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使用 FMCW 雷達和利用人工神經網絡進行運動生命體徵檢測

為了解決hardware equipment l的問題，作者李景量 這樣論述：

由於對人們對健康的關注度增長使得健康監護監測變得更加流行。 現在有許多可穿戴或直接接觸的生理設備能夠在日常生活活動中監測一個人的心率； 然而，在鍛煉或長期監測期間佩戴設備通常會令使用者很尷尬或不舒服。 幸運的是，對於非接觸式設備，例如基於 FMCW 雷達的設備，可以避免這種情況發生。 與可穿戴式或直接接觸式生理設備相比，非接觸式系統更方便，可應用的地方亦更廣泛。在這項工作中，我們提出了一個 60-64 GHz 頻率調製連續波 (FMCW) 雷達系統，用於在運動期間進行非接觸式心率監測。 通過使用修改後的 MobileNetV3 模型進行回歸分析，可以實現約 90% 的準確率預測。此外，我們使

用剪枝方法將神經網絡模型的模型大小減少了 87%，以有效降低模型的計算成本並保持準確性。