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Determining Attributes to Maximize Visibility of Objects

机译：确定属性以最大化对象的可见性

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Muhammed Miah; Gautam Das; Vagelis Hristidis; Heikki Mannila;
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年度 2010
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1. Determining Attributes to Maximize Visibility of Objects [J] . Miah Muhammed, Das Gautam, Hristidis Vagelis, Knowledge and Data Engineering, IEEE Transactions on . 2009,第7期

机译：确定属性以最大化对象的可见性
2. Attribute and Object Selection Queries on Objects with Probabilistic Attributes [J] . RABIA NURAY-TURAN, DMITRI V. KALASHNIKOV, SHARAD MEHROTRA, ACM transactions on database systems . 2012,第1期

机译：具有概率属性的对象的属性和对象选择查询
3. Attribute weights determination models for consensus maximization in multiple attribute group decision-making [J] . Zeshui Xu International journal of general systems . 2011,第7期

机译：多属性组决策中共识最大化的属性权重确定模型
4. Maximizing visibility of objects [C] . Miah M. Data Engineering Workshops (ICDEW), 2010 . 2010

机译：最大化对象的可见性
5. Attributes selection and package design to maximize visibility of objects. [D] . Miah, Md Zahiduzzaman. 2009

机译：属性选择和包装设计可最大程度地提高对象的可见性。
6. Making figures: are you taking the best approach to maximize visibility? [O] . Shogo Mori, Sylvie Garneau-Tsodikova 2018

机译：制定数字：您是否正在采用最佳方法来最大化可见性？
7. ABSTRACTudThe purpose of this research is to obtain an optimal formulations of Black mulberry leaves dried noodle product by using Design Expert Application with Design Mixture D-optimal method.udThis research was done with two phases. The preliminary procedures research is to determine levels of antioxidant activity, chlorophyll content, and the levels of tannin that was contained in black mulberry leaves, the black mulberry leaf flour, a pare fruits, and pare flour. Primary research is to determine the best formulation by using a Mixture Design Expert Design D-optimal method, for a purpose is to optimized the Black mulberry leaf dry noodle. Responses in this studies are a chemical analysis response by using a crude fiber analysis and protein analysis. Physical response is water absorption. Sensory response are color, flavor, and odor.udBlack mulberry leaves dried noodles was made from wheat flour, black mulberry leaf flour, and pare flour, other materials such as an eggs, water, salt, and sodium bicarbonate, of the 16 formulations that has offered to produce an optimal formulation based on desirability which contains 39.69 Flour,14.25 Black Mulberry Leaves flour, 3.06 Pare fruit and flour amounted, and other materials are 30 water, 10 eggs, 2 salt, and 1 sodium bicarbonate. The formulation has been result by program 11,05 crude fiber content, 12.93 protein, 274.31 water absorption, 4,31 for color attribute, 3,87 for taste attribute, and 3,71 for aroma attribute.ududKeyword: Black mulberry leaf dried noodles, optimization. [O] . Leti Nurlatifah Alumni, Yudi Garnida DS, Tantan Widiantara DS 2017

机译：抽象 ud本研究的目的是通过使用带有Design Mixture D-最优方法的Design Expert Application获得黑桑叶干面条产品的最佳配方。 ud这项研究分两个阶段进行。初步程序研究是确定抗氧化剂活性，叶绿素含量以及黑桑叶，黑桑叶粉，果皮和果皮中所含单宁的含量。首要研究是通过使用Mixture Design Expert Design D-optimal方法确定最佳配方，目的是优化黑桑叶干面条。本研究中的反应是通过使用粗纤维分析和蛋白质分析进行的化学分析反应。物理反应是吸水。感官反应是颜色，味道和气味。黑桑叶干面条由小麦粉，黑桑叶粉和削皮粉，鸡蛋，水，盐和碳酸氢钠等其他材料制成，这16种配方可根据需要提供最佳配方其中包含39.69％的面粉，14.25％的黑桑叶面粉，3.06％的去皮水果和面粉，其他材料是30％的水，10％的鸡蛋，2％的盐和1％的碳酸氢钠。该配方是通过程序11,05％的粗纤维含量，12.93％的蛋白质，274.31％的吸水率，4.31的颜色属性，3,87的味道属性和3,71的芳香属性得出的。 ud关键字：黑桑叶干面条，优化。
8. CATCH: Computer Assisted Topography, Cartography, and Hypsography. Part IV. SEESIJ: A Subroutine Package for Determining the Visibility of Objects Throughout a Region. [R] . Tucker, T. C. 1976

机译：CaTCH：计算机辅助地形学，制图学和Hypsography。第四部分。 sEEsIJ：用于确定整个区域中对象可见性的子例程包。

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