Quantitative analysis of packet-processing applications regarding architectural guidelines for network-processing-engine development

This paper presents a simulation-based profile-driven quantitative analysis of packet-processing applications. In this domain, demands for increasing the performance and the ongoing development of network protocols both call for flexible and performance-optimized engines. Based on the achieved profiling results, we introduce platform-independent analysis that locates the performance bottlenecks and architectural challenges of a packet-processing engine. Finally based on these results, we extract helpful architectural guidelines for design of a flexible and high-performance embedded processor that is optimized for packet-processing operations in high-performance and cost-sensitive network embedded applications.     

Modeling the effects of ore properties on water recovery in the thickening process

A better understanding of solid-liquid separation would assist in improving the thickening performance and perhaps water recovery as well. The present work aimed to develop an empirical model to study the effects of ore properties on the thickening process based on pilot tests using a column. A hydro-cyclone was used to prepare the required samples for the experiments. The model significantly predicted the experimental underflow solid content using a regression equation at a given solid flux and bed level for different samples, indicating that ore properties are the effective parameters in the thickening process. This work confirned that the water recovery would be increased about 5% by separating the feed into two parts, overflow and underflow, and introducing two different thickeners into them separately. This is duo to the fact that thickeners are limited by permeability and compressibility in operating conditions.     

Removal of copper from molybdenite concentrate by mesophilic and extreme thermophilic microorganisms

Mixed mesophilic and extreme thermophilic bioleaching were evaluated to remove copper from the molybdenite concentrate. Bioleaching tests were carried out in shake flasks and in a 50-L bioreactor. The shake flask tests were performed with different inoculum size, solids density, pH, and temperature in order to identify optimum conditions. The highest amount of copper elimination, 75% was obtained with extreme thermophilic microorganisms (at 12% inoculation, 10% solids, 65 °C and a pH of 1.5). The highest copper elimination by mesophilic microorganisms was 55% (at 12% inoculation, 5% solids, 30 °C at pH 2). The optimum conditions in shake flask tests were applied to 7 days batch tests in a 50-L bioreactor. Extreme thermophilic experiment gave the best copper elimination of 60% (at 12% inoculation, 10% solids, 65 °C and pH 1.5). Mesophilic test removed 50% of the copper (at 12% inoculation, 10% solids, 35 °C at pH 2).     

Acidophilic bioleaching: A Review on the Process and Effect of Organic–inorganic Reagents and Materials on its Efficiency

Bio-hydrometallurgical applications have been receiving more attention globally for processing of several metal bearing wastes. Developments in bioleaching enable this technique to be utilized as an alternative process for extraction of metals (ex-copper, gold, etc.) from complex ores or even concentrates, consequently solving several environmental issues. Organic and inorganic reagents or additives used during the process have been seen to affect the leaching efficiency of microbes for metal dissolution. The present review discusses the influence of certain organic–inorganic reagents and other materials or additives on the growth, oxidation activity, and bioleaching efficiency of acidophiles on metal dissolution.     

Geochemical and Mineralogical Characterization of a Pyritic Waste Pile at the Anjir Tangeh Coal Washing Plant, Zirab, Northern Iran

Coal washing at the Anjir Tangeh plant, in Zirab, northern Iran, has produced more than 1.5 Mt of coal wastes. These waste materials were geochemically and mineralogically characterised to guide development of an appropriate remediation scheme. Three vertical trenches up to 4 m deep were excavated from the coal waste pile surface and 25 solid samples were collected at 0.5 m intervals. The samples were analysed for total concentrations of 54 elements, paste pH, SO ₄ ^?2 , CO ₃ ^?2 , and HCO₃ ^?. The lowest pH values were measured at a depth of 0.3 m. The upper portion (1 m) of one profile was moderately oxidised, while oxidation in the other two profiles did not extend more than 0.8 and 0.5 m beneath the pile surface. The waste piles have low acid-producing potential (15–21.87 kg CaCO₃/t) and high values of acid-neutralizing potential (0.06–96.2 kg CaCO₃/t). Fe, Al, S, Na, Mn, Pb, Zn, Cd, and Ag increased with increasing depth, while Mo, Sr, Zr, and Ni decreased with increasing depth. The results show pyrite oxidation at depth and subsequent leaching of the oxidation products. Mn, Zn, Cu, Pb, Ag, and Cd are the most important contaminants of concern at this site.     

Thermodynamical and catalytic aspects of zinc separation from aqueous solution

The present research work examines extraction mechanism of zinc by D2EHPA (Di-2-ethyl hexyl phosphoric acid) and comprehensively studies the main effective parameters on the process. Results of thermodynamic experiments showed that zinc extraction by D2EHPA was endothermic and spontaneous, and thermodynamic parameters including entropy and enthalpy were+27.37 J·mol^-1·K^-1 and 25.21 kJ·mol^-1, respectively. Gibbs free energy was varied between -7.21 kJ·mol^-1 and -8.41 kJ·mol^-1 with the variation of temperature from 20℃ to 70℃. Solution ionic strength was increased by addition of potassium and lithium sulfate solution while addition of calcium sulfate decreased ionic strength whereby zinc extraction efficiency was also decreased. TBP showed positive synergism at concentration of 5% (v/v) and negative synergism effect at concentrations of 2% and 10%. Simultaneous addition of both TBP and salt caused extraction efficiency to drop significantly and lower both TBP and ionic strength efficiency. Results showed that a continuous addition of TBP tends to effectively improve the zinc extraction efficiency. Experiments in the presence of catalyst Ni-Raney demonstrated that zinc extraction kinetic increases remarkably and due to easy recycling of the catalyst, we can propose a novel idea in solvent extraction field.     

混合嗜温细菌对辉钼矿中Cu、Mo和Re的生物浸出

运用响应面方法和中央复合旋转实验设计方法对辉钼矿生物浸出过程中影响铜、钼和铼浸出的一些工艺条件进行了建模与优化.基于中央复合旋转实验设计方法,考察了3个主要因素对生物浸出的影响,即料液pH值、矿浆浓度、接种体浓度,其值分别为:pH1.46～2.14,矿浆浓度0.95％～11.05％,接种体浓度1.59％～18.41％.根据中央复合旋转设计方法进行20组生物浸出实验.根据所得到的铜、钼和铼浸出率的实验结果,基于3个考察因素对其分别建立了经验公式.在实验条件范围内,根据经验公式采用二次方程对获得最大的铜、钼和铼浸出率的工艺条件进行了优化.结果表明,获得最大的铜浸出率的工艺条件为:pH=1.68,矿浆浓度0.95％,接种体浓度18.41％;在此条件下,钼和铼的浸出率分别为2.18％和24.41％.铜、钼和铼浸出率的预测结果与实验结果吻合较好.考察了生物浸出中黄钾铁矾生成对浸出的影响.     

Adaptive fault-tolerant DVFS with dynamic online AVF prediction

Advances in silicon technology and shrinking the feature size to nanometer levels make random variations and low reliability of nano-devices the most important concern for fault-tolerant design. Design of reliable and fault-tolerant embedded processors is mostly based on developing techniques that compensate reliability shortcomings by adding hardware or software redundancy. The recently-proposed redundancy adding techniques are generally applied uniformly to all parts of a system and lead to heavy overheads and inefficiencies in terms of performance, power, and area. Efficient employment of non-uniform redundancy becomes possible when a quantitative analysis of a system behavior while encountering transient faults is provided. In this work, we present a quantitative analysis of the behavior of an embedded processor regarding transient faults and propose a new approach that accurately predicts the architecture vulnerability factor (AVF) in real-time. Another critical concern in design of new-silicon processors is power consumption issue. Dynamic voltage and frequency scaling (DVFS) is an effective method for controlling both energy consumption and performance of a system. Since rate of radiation-induced transient faults depends on operating frequency and supply voltage, DVFS techniques are recently shown to have compromising effects on electronic system reliability. Therefore, ignoring the effects of voltage scaling on fault rate could considerably degrade the system reliability. Here, by exploiting the proposed online AVF prediction methodology and based on analytic derivation, we propose a reliability-aware adaptive dynamic voltage and frequency scaling (DVFS) approach in case study of Multi-Processor System on Chip (MPSoC) with Multiple Clock Domain (MCD) pipeline architectures in which the frequency and voltage are scaled by simultaneously considering all three of power consumption, reliability, and performance. Comparing to the traditional methods of reliability-aware DVFS systems, the proposed reliability-aware DVFS method yields 50% better power saving at the same reliability level.     

Instruction set architectural guidelines for embedded packet-processing engines

This paper presents instruction set architectural guidelines for improving general-purpose embedded processors to optimally accommodate packet-processing applications. Similar to other embedded processors such as media processors, packet-processing engines are deployed in embedded applications, where cost and power are as important as performance. In this domain, the growing demands for higher bandwidth and performance besides the ongoing development of new networking protocols and applications call for flexible power- and performance-optimized engines.The instruction set architectural guidelines are extracted from an exhaustive simulation-based profile-driven quantitative analysis of different packet-processing workloads on 32-bit versions of two well-known general-purpose processors, ARM and MIPS. This extensive study has revealed the main performance challenges and tradeoffs in development of evolution path for survival of such general-purpose processors with optimum accommodation of packet-processing functions for future switching-intensive applications. Architectural guidelines include types of instructions, branch offset size, displacement and immediate addressing modes for memory access along with the effective size of these fields, data types of memory operations, and also new branch instructions.The effectiveness of the proposed guidelines is evaluated with the development of a retargetable compilation and simulation framework. Developing the HDL model of the optimized base processor for networking applications and using a logic synthesis tool, we show that enhanced area, power, delay, and power per watt measures are achieved.     

A Numerical Multi-Component Reactive Model for Pyrite Oxidation and Pollutant Transportation in a Pyritic,Carbonate-Rich Coal Waste Pile in Northern Iran

A one-dimensional numerical finite volume model is presented to simulate pyrite oxidation and reactive transportation of the oxidation products in a pyritic, carbonate-rich, coal waste pile. The proposed model incorporates the shrinking core concept for describing pyrite oxidation, pyrite surface area reduction, oxygen diffusion, and transport of the oxidation products through the waste pile. The model governing equations were solved using the PHOENICS computational fluid dynamics model. The accuracy of the model was verified with field data. Pyrite oxidation was more intense at shallower depths where oxygen decreased almost linearly from the pile surface to an approximate depth of 2 m. The lowest pH, 3.5, was predicted at a depth of 0.5 m. The waste pile has high neutralisation potential due to buffering by carbonate minerals. The maximum concentration of SO₄ ^2?, 31.6 mol/m³, was predicted at an approximate depth of 4 m and to remain constant throughout the rest of waste profile. Simulation of a scenario with a cap shows that iron and sulphate was removed from the upper parts of the pile; their peak concentrations shifted downward due to dilution. Oxygen source removal limited iron and sulphate production. These results will be useful for developing an appropriate remediation scheme.