Macrocell path loss prediction using artificial intelligence techniques

The prediction of propagation loss is a practical non-linear function approximation problem which linear regression or auto-regression models are limited in their ability to handle. However, some computational Intelligence techniques such as artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFISs) have been shown to have great ability to handle non-linear function approximation and prediction problems. In this study, the multiple layer perceptron neural network (MLP-NN), radial basis function neural network (RBF-NN) and an ANFIS network were trained using actual signal strength measurement taken at certain suburban areas of Bauchi metropolis, Nigeria. The trained networks were then used to predict propagation losses at the stated areas under differing conditions. The predictions were compared with the prediction accuracy of the popular Hata model. It was observed that ANFIS model gave a better fit in all cases having higher R² values in each case and on average is more robust than MLP and RBF models as it generalises better to a different data.     

Results of test on microprocessor-based voltage and speed regulators carried out on a large physical model complex

Results of experimental tests carried out with microprocessor-based voltage and speed regulators using a digital-analogue-physical model complex of a large power system at the Siberian Power Institute of the USSR Academy of Sciences are described. The physical test facility, and the test objectives and procedures are also outlined. Tests were carried out on a Soviet-built microprocessor AVR and a Canadian-built microprocessor AVR and speed governor. The work described shows that the development of speed and voltage regulators using microprocessors is a feasible and promising proposition.     

Investigation of non-Newtonian flow characterization and rheology of heavy crude oil

The heavy crude oil exhibits a non-Newtonian shear thinning behavior over the examined shear rate. The viscosity of the heavy crude oil decreases about 15.6% when the temperature increased from 30 to 60°C. Heavy crude oil was blended with the aqueous solution of surfactant and saline water in different volumetric proportions of NaCl, and Na₂CO₃ solution mixtures. The addition of 50% of the mixture to the heavy crude oil causes a strong reduction in the viscosity, about 67.5% at 60°C. The heavy crude oil fits the Power law model since it has the lowest average absolute percent error of 0.0291. The flow behavior index of the heavy crude oil reaches a value of 0.9305 at a temperature of 30°C and it increases to 0.9373 when the temperature raises 60°C, while the consistence coefficient decreases from 2.8811 to 2.3558.     

多晶硅发射极晶体管h_(FE)、G_e、和K的普遍表达式及其分类

本文综合考虑了影响多晶硅发射极晶体管(PET)电流增益的多种因素,针对最全面的器件结构推导出PET的共发射极直流电流增益h_FE发射极Gummel数G_e,和电流增益的增强因子k解析形式的普遍表达式,覆盖了PET的多种结构。并以此对PET从器件结构上进行了科学地分类。此普遍表达式也包含了Ning和Graaff的理论结果。     

基本网络元件数学模型及电磁暂态分析研究

随着电力系统的规模增大和新型电力电子器件的接入,系统数字仿真具有了更大的复杂性,电力系统仿真对电力系统发展的重要性变得更加突出,已成为电力系统的研究、规划、运行、设计等各个方面中不可或缺的工具。文中介绍了电力系统仿真分析方法的研究现状;随后分析了电感、电容、变压器等网络元件的数学模型,得到了各元件模型差分化之后的计算表达式;最后通过编写C++程序,对一阶电路和二阶电路进行了暂态过程仿真,获得了不同电路下暂态电压与电流的时域变化曲线。通过与理论结果比较,确认了仿真结果的准确性和使用数字仿真对系统进行分析的可行性。     

Adsorption separation of condensate oil from produced water using ACTF prepared of oil palm leaves by batch and fixed bed techniques

A novel method is applied to produce amorphous carbon thin film (ACTF) from oil palm leaves. The novel prepared ACTF is in the form of thin films like graphene sheets having winding surface. ACTF was characterized by different methods of characterization: FTIR, BET, SEM, EDX, TEM, and Raman. ACTF employed as an adsorbent to separate emulsified condensate oil from synthetic produced water as a treatment process before reinjection in oil reservoirs. The adsorption performance of batch and fixed bed adsorption systems were investigated. Contact time, initial concentration of condensate oil ($C_o$ = 100–2500 mg/l) and temperature were studied by batch experiments. The obtained results indicated that the adsorption capacity and the removal efficiency increased with time up to 132.77 mg condensate/g adsorbent and 66.38% respectively, within 6 h equilibrium time at 308 K. The thermodynamic adsorption experiments conducted at 288, 308 and 318 K, referring exothermic nature of the adsorption process.The performance study of fixed bed adsorption described through the breakthrough curves concept with two parameters: column bed heights (5, 10 and 15 mm) and flow rate (2.2, 5 and 8.4 ml/min). Two models (Thomas and Yoon-Nelson models) were applied to expect different parameters of fixed bed as adsorption capacity and time need for 50% breakthrough. The results exhibited that 2.2 ml /min feed flowrate and 5 mm bed height at 1000 mg/l initial oil condensate concentration were the optimum conditions for the ACTF column. The experimental breakthrough curves showed acceptable fit with the calculated breakthrough profiles obtained by Thomas model.     

Calculation of heavy oil viscosity in high water cut stage

The commonly used heavy oil viscosity models are just for low water cut stage, but they have some limitations when the viscosity of other oil samples is calculated in high water cut stage, this paper presents a new and simple method in high water cut stage to predict the viscosity of heavy oil, which can measure the viscosity of heavy oil by the temperature under the condition of different water cut. Compared with the commonly used model, the new model has the small computation error and can be tested in practices in calculating the viscosity of similar oilfields in high water cut stage.     

Performance Evaluation of Distributed Database Architectures for UMTS Service Deployed in an Urban Area

The design of distributed databases (DDBs) destined to store user information is a key issue in third-generation mobile communication systems such as UMTS. In particular, the problem of determining the most appropriate DDB architectures for UMTS is critical due to the anticipated requirements of high distribution and adaptability of information. This paper presents a model which allows different DDB architectures to be evaluated, in terms of query loads and average search times. The model proposed puts no constraints on either the DDB structure arrangement or the user position characterization. The paper also discusses a real, significant case study, concerning a query operation arising from an access procedure performed on the DDB of a communication network covering an urban area.     

语音帧间相关信息对基于HMM系统识别精度的影响

本文探讨经短时信号处理后的语音信号帧间相关信息对基于隐马尔可夫模型（ＨＭＭ）的语音识别系统识虽精度的影响，鉴于ＨＭＭ的输出独立假设导致语音帧间相关信息的损失，本文提出了一种描述帧间相关信息的统计模型－马尔可夫链（ＭＣＭ）用来弥补ＨＭＭ在这方面的缺陷；经非特定人和多话者孤立字实验表明，用ＭＣＭ作为ＨＭＭ的辅助模型，可将原有ＨＭＭ系统的识别率提高约１～６个百分点。     

聚合物驱后增产技术研究

针对聚合物驱后提高采收率问题,在孤岛油田研究了3种增产技术,分别是高效洗油技术、聚合物絮凝再利用技术、深部调剖技术。采用年板模型模拟油藏非均质特点,改变各作业剂注入孔隙体积倍数,比较其采收率增值和经济效果。研究表明：聚合物驱后采用上述技术可以进一步提高采收率,各作业剂用量需要优化,才能最大限度提高开发效果,提高波及系数的增油效果较提高洗油效率更为明显。