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関連する概念動画

Quality of Water01:19

Quality of Water

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In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
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Testing Water Quality01:14

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When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
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Regression Toward the Mean01:52

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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Adaptations that Reduce Water Loss01:57

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Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
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The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

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According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
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Multiple Regression01:25

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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
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関連する実験動画

Updated: Feb 12, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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近接分光センシング技術と適応アンサンブル回帰を用いた水質パラメータの予測

Yubo Zhao1, Jie Zhan1, Jinling Chen1

  • 1Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China; University of Chinese Academy of Sciences, Beijing 100049, China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|February 10, 2026
PubMed
まとめ

本研究は、濁度、クロロフィルa、化学的酸素要求量、溶存酸素を高精度に測定する、連続非接触水質モニタリングのための新しい分光センシングシステムを紹介する。

キーワード:
適応アンサンブル回帰フレームワーク特徴量エンジニアリング近接分光センシングシステム水質モニタリング

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関連する実験動画

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科学分野:

  • 環境科学; 分析化学; センサー技術

背景:

  • 従来の、およびリモートセンシングによる水質モニタリング方法には限界があります。連続的な非接触表面水質評価の必要性があります。

研究 の 目的:

  • リアルタイムの水質取得のための近接分光センシングシステムを開発すること。正確なパラメータ推定のための適応アンサンブル回帰フレームワークを作成すること。

主な方法:

  • 12バンド設定可能な分光センサーを使用しました。異常分光曲線除去フレームワーク、特徴量拡張、およびRFECVを実装しました。ベース学習器（RFR、GBR、GPR、KNNR）とアンサンブル戦略（加重平均、スタッキング）を備えた適応アンサンブル回帰フレームワークを採用しました。

主要な成果:

  • 濁度（0.988）、クロロフィルa（0.814）、COD（0.882）、DO（0.833）で高いR^2値（決定係数）を達成しました。ほとんどのパラメータで10％未満の低い平均絶対パーセント誤差（MAPE）を示しました。ノイズに対するモデルの堅牢性と、限られたデータでの安定性を示し、水質トレンドを効果的に追跡しました。

結論:

  • 開発された近接分光センシングシステムは、高頻度、連続的な表面水質モニタリングのための安定した低コストソリューションを提供します。アンサンブル戦略は光学的に活性でないパラメータに有利であり、ツリーベースモデルは光学的に活性なパラメータに優れています。