A tree-based address configuration for a MANET

This paper proposes an address configuration scheme for a MANET. In this paper, the tree-based architecture and the algorithm of constructing a MANET are presented. In this architecture, a proxy node can assign a unique address for neighbor new nodes, so the address configuration task is distributed around all proxy nodes. The transmission of control packets is controlled within one-hop scope, so the cost is reduced and the delay is shortened. Through this architecture, the address resources released by failed nodes can be automatically reclaimed for reuse, so a proxy node has always the sufficient address space for assignment. In order to ensure the uniqueness of a node’s address, the paper also proposes the MANET merging and partitioning algorithms. Finally, this paper evaluates the performance metrics of both the proposed scheme and the existing schemes, and the results show that the proposed scheme reduces the address configuration cost and shortens the address configuration delay.     

The HLD Study of Surfactant Partitioning for Oilfield Corrosion Inhibitors

The partitioning of corrosion inhibitor (CI) products is a measure of their potential to protect oilfield pipelines. In this paper the hydrophilic–lipophilic deviation (HLD) model is first used to quantify their partitioning in terms of the characteristic curvature (C _c,act) of a series of anionic (alkoxylated phosphate esters) and cationic (alkoxylated amines, aromatic amines, imidazoline acetates and quaternary amines) actives. This parameter is expressed over a range of pHs within which pipeline corrosion occurs. The HLD model is next used to predict the partitioning of each active from water into toluene at increased salinities. Linear mixing rules are lastly used to predict the characteristic curvature of Product A (C _c,mix) as a function of the C _c,act of a subset of actives.     

Modeling water and hydrogen networks with partitioning regeneration units

Strict environment regulations in chemical and refinery industries lead to minimize resource consumption by designing utility networks within industrial process plants. The present study proposed a superstructure based optimization model for the synthesis of water and hydrogen networks with partitioning regenerators without mixing the regenerated sources. This method determines the number of partitioning regenerators needed for the regeneration of the sources. The number of the regenerators is based on the number of sources required to be treated for recovery. Each source is regenerated in an individual partitioning regenerator. Multiple regeneration systems can be employed to achieve minimum flowrate and costs. The formulation is linear in the regenerator balance equations. The optimized model is applied for two systems, partitioning regeneration systems of the fixed outlet impurity concentration and partitioning regeneration systems of the fixed impurity load removal ratio (RR) for water and hydrogen networks. Several case studies from the literature are solved to illustrate the ease and applicability of the proposed method.     

Partitioning of α-lactalbumin and β-lactoglobulin from cheese whey in aqueous two-phase systems containing poly (ethylene glycol) and sodium polyacrylate

Partitioning behavior of the whey proteins α-lactalbumin (α-la) and β-lactoglobulin (β-lg) in aqueous two-phase systems prepared with poly ethylene glycol (PEG) and sodium polyacrilate (NaPA) was investigated as a function of pH and polymer concentrations. It was observed that α-la concentrated in the PEG phase while β-lg concentrated in the NaPA phase. Response surface methodology was applied to optimize protein partitioning and to achieve the best conditions for their fractionation. Thermodynamic analysis based on isothermal titration microcalorimetry indicated that the partitioning of α-la was accompanied by endothermic heat and was entropically driven, while β-lg partitioning was accompanied by exothermic heat and was enthalpically driven at low polymer concentrations and entropically driven at high polymer concentrations. Purification and yield parameters were determined using fresh whey and the results allowed for conclusion of the great applicability of this new system for α-la and β-lg fractionation.     

Automatic identification of spatial defect patterns for semiconductor manufacturing

This research proposes an on-line diagnosis system based on denoising and clustering techniques to identify spatial defect patterns for semiconductor manufacturing. Today, even with highly automated and precisely monitored facilities used in a near dust-free clean room and operated with well-trained process engineers, the occurrence of spatial signatures on the wafer still cannot be avoided. Typical defect patterns shown on the wafer, including edge ring, linear scratch, zone type and mixed type, usually contain important information for quality engineers to remove their root causes of failures. In this paper, a spatial filter is simultaneously used to judge whether the input data contains any systematic cluster and to extract it from the noisy input. Then, an integrated clustering scheme combining fuzzy C means (FCM) with hierarchical linkage is adopted to separate various types of defect patterns. Furthermore, a decision tree based on two cluster features (convexity and eigenvalue ratio) is applied to a separated pattern to provide decision support for quality engineers. Experimental results show that both real dataset and synthetic dataset have been successfully extracted and classified. More importantly, the proposed method has potential to be further applied to other industries, such as liquid crystal display (LCD) and plasma display panel (PDP).     

An algorithm for the selection problem

A refinement to a well-known selection algorithm is described. The refinement results in a useful improvement in the performance of the original algorithm, particularly when the selection index is small relative to the median.     

The alloying mechanisms of Re, Ru in the quaternary Ni-based superalloys interface: A first principles calculation

The site preference of Re, Ru on the γ/γ^′ interface and their influence on the partitioning behaviors of W, Mo in the γ and γ^′ phase have been investigated by DMol3 calculation. The transfer energy results show that both Re and Ru exhibit a weak Ni site preference. When Re substitutes Ni on the γ/γ^′ interface, it is found a reverse partitioning behavior of W, while the partitioning behavior of Mo was not affected. In contrast, Ru’s substitution for Ni on the interface does not affect the partitioning behaviors of W, Mo, which is in agreement with experimental results. In addition, the different interface strengthening mechanisms for Re and Ru are investigated by the electronic structure analysis of the Mulliken population, the impurity-induced charge redistribution and the partial density of states. Results show that the alloying strengthening effect of Re is mainly due to the direct bonding of Re and the host atoms. Whereas, the addition of Ru is effective for improving the phase stability of Ni-based superalloys.     

数据仓库技术在放射性监测系统中的应用研究

针对目前核辐射安全防护还停留在基于以事务处理为主的数据库管理系统之上的传统数据分析，文章提出了在放射性监测系统中建立以分析处理为主的数据仓库体系化环境。初步设计了系统的总体框架，完成了数据仓库的建模过程。重点在于确定主题、粒度划分和多维数据模型的确立。同时运用数据挖掘工具对其数据进行模式和知识的发现。     

逻辑与物理相结合的MCM划分神经学习方法

本文提出一种性能驱动的MCM划分神经学习方法．新算法具有如下特点：（1）允许功能设计和布图设计同时进行，（2）划分时，不仅考虑了模块间的逻辑关系，还考虑了MCM的版图结构．（3）具有芯片间连线数目最少和时钟周期最短双重优化目标．（4）能使连线尽可能产生在相邻近的芯片之间．（5）网络的结构合理，学习速度快．