a gas permeation model (coupling model) has been developed which has the flexibility to be used for different membrane module configurations. the aim of this work is to predict the performance of a single stage gas separation process using membranes and provide a comprehensive description of process parameters like flow rates, composition, stage cut and stream pressure. the significant feature ...

in this research performed during 1993-1994, the effluent of behran oil refmery, in south of tehran, which produces different types of industrial oil and greases, was studied and 3 methods of gravity separation, coagulation and flocculation and dissolved air flotation were investigated. in the first phase of the survey, the quality and quantity of the effluent were determined. this showed an av...

In this paper, we adopt supreme-utilities among fuzzy level (decision) vectors to propose a power allocation rule, its efficient extension and normalization in the framework of multicriteria fuzzy transferable-utility (TU) games. We also provide several axiomatic results to present the rationality for these rules. Based on different viewpoints, we introduce different formulations and dynamic re...

近幾十年來,無數的學者先進對於此雜訊干擾問題提出了豐富眾多的演算法,略分成兩 大類別:強健性語音特徵參數表示法(robust speech feature representation)與語音模型調適 法(speech model adaptation),第一類別之方法主要目的在抽取不易受到外在環境干擾下 而失真的語音特徵參數,或從原始語音特徵中儘量削減雜訊造成的效應,比較知名的方 法有:倒頻譜平均值與變異數正規化法 (cepstral mean and variance normalization, CMVN)[1]、倒頻譜統計圖正規化法(cepstral histogram normalization, CHN)[2]、倒頻譜平 均值與變異數正規化結合自動回歸動態平均濾波器法(cepstral mean and variance normalization plus auto-r...

in order to investigate the gas separation ability of a column packed with nanozeolitic material, nano nay zeolite was synthesized and granulated. these uniform granules packed in a chromatographic column were utilized for separation of xe and kr under various operating conditions. with regards to the response peaks obtained from trace injections of xe and kr into the column, the first and seco...

Linear transformations such as min–max normalization and z-score standardization are commonly used in logistic regression for the purpose of scaling. However, work literature on linear has two major limitations. First, most focuses improving fit model. Second, effects rarely discussed. In this paper, we first generalized a transformation single variable to multiple variables by matrix multiplic...

Blind deconvolution and demixing is the problem of reconstructing convolved signals kernels from sum their convolutions. This arises in many applications, such as blind MIMO. work presents a separable approach to via convex optimization. Unlike previous works, our formulation allows separation into smaller optimization problems, which significantly improves complexity. We develop recovery guara...