Optimal control of the feed voltage of a dipole antenna

An iterative algorithm is described for the construction of the input voltage of a dipole antenna for a specified electric field response at a given far-zone point. A functional is optimized subject to the state equation, which is an ordinary differential equation. The state equation used is Pocklington's equation where the control is the input voltage waveform and the state is the current distribution on the antenna. The Lagrange multiplier function, which is introduced by augmenting the functional, satisfies the adjoint Pocklington's equation. In the descent algorithm these two equations are solved at each step. All calculations are carried out in the time domain, so there is no need for additional specification related to frequency domain. However, the procedure implicitly determines the frequency bandwidth of the signals used     

Investigation of wind energy potential of Muradiye in Manisa,Turkey

The purpose of this survey is about to investigate wind energy potential of Celal Bayar University Muradiye Campus. The experimental system was commissioned in November 2006 and performance monitoring tests have been conducted since then. Author also undertake a case study to investigate how varying wind speeds considered affect the electricity production of the wind turbine system and to estimate a capacity factor which is defined as the ratio of the average power output to the rated output power of the generator. The collected data are quantified and illustrated in the tables, 07th of November 2006 till 09st of December 2007 for comparison purposes. According to experimental studies between 2006 and 2007 years, yearly average wind velocity is found to be 3.21 m/s at 30 m height and capacity factor is estimated to be 14.1% for Enercon E48 (800 kW) wind turbine. According to these results, the mean wind speed does not provide economical electricity production from the wind energy.     

Energetic performance test of an underground air tunnel system for greenhouse heating

The main objective of the present study is to investigate the performance characteristics of an underground air tunnel (UAT) for greenhouse heating with a 47 m horizontal, 56 cm nominal diameter U-bend buried galvanized ground heat exchanger. This system was installed in the Solar Energy Institute, Ege University, Izmir, Turkey. Based upon the measurements made in the heating mode, the average heat extraction rate to the soil is found to be 3.77 kW, or 80.21 W/m of tunnel length, while the required tunnel length in meters per kW of heating capacity is obtained as 12.46. The entering air temperature to the tunnel ranges from 14.3 to 21.5 °C, with an average value of 15.5 °C. When the system operates, the greenhouse air is at a minimum day temperature of 13.1 °C with a relative humidity of 32%. The maximum heating coefficient of performance of the UAT system is about 6.42, while its minimum value is about 0.98 at the end of a cloudy and cold day and fluctuates between these values at other times. The daily average maximum COP values for the system are also obtained to be 6.42. The total average COP in the heating season is found to be 5.16.     

Experimental prediction of total thermal resistance of a closed loop EAHE for greenhouse cooling system

The design of an earth to air heat exchanger (EAHE) requires knowledge of its total thermal resistance (R_Tot) for heating and cooling applications. In this research, a 47 m long horizontal, 56 cm nominal diameter U-bend buried galvanized was studied experimental EAHE used for the determination and evaluation of thermal properties of heat exchanger. This system was designed and installed in the Solar Energy Institute, Ege University, Izmir, Turkey. Based on the experimental results, generalized relationships were developed for predicting of thermal resistance of the heat exchanger. Average total heat exchanger thermal resistance was estimated to be 0.021 K-m/W as a constant value under steady state condition.     

Silicide pre-clean effects on NiPtSi thermal stability for 65 nm technologies and beyond

The effects of different surface preparations on NiPtSi thermal stability were studied. HF wet clean, argon sputter etch and remote plasma pre-clean were used as silicide pre-cleans prior to NiPt sputter deposition and subsequent silicidation on blanket and patterned Si wafers. NiPtSi was characterized using SIMS, ellipsometry, voltage contrast (ES25) testing and electrical performance measurements of 65 nm test structures. Results show that when an in situ remote plasma pre-clean is used in addition to a classical HF wet clean to remove native oxide from the Si substrate prior to NiPt deposition and silicidation, Rs uniformity and SRAM electrical performance as a function of thermal budget are significantly improved. Rs measurements of patterned wafers and SIMS analysis of blanket wafers strongly suggest that the absence of native oxide prior to NiPt deposition and the presence of fluorine at the NiPtSi/Si interface play a key role in improving NiPtSi thermal stability.     

Traversing and querying constraint driven temporal networks to estimate construction contingencies

Effective estimation of possible project futures is crucial to the success of construction projects. The focus of this paper is identifying and classifying possible construction crisis scenarios using an interactive simulation. We present a mathematical representation of construction processes, with foundations in temporal constraint networks, that can be used to infer alternative futures of a project as it unfolds. We present algorithms that can traverse the network in time, reason about the constraints driving the construction project, and present the combinatorial possibilities of futures that can emerge from one or more constraint violations during project implementation. The graphical depictions of the traversal results will aid construction managers in anticipating and reacting to crisis scenarios as they evolve in time. We present a case study and illustrate how the proposed algorithms can be used to represent and model uncertainty and estimate contingencies in construction projects. This research is part of a broader framework that integrates construction education, the study of expert decision making, and intelligent decision making aids.     

Probabilistic Assessment of Stress Normalization for CPT Data

Currently available cone penetration test (CPT) stress normalization schemes exhibit no consensus on the estimation of the stress normalization component. Depending on which power law stress normalization exponent is used, very different interpretations may result in the analyses where normalized CPT data are used (e.g., CPT-based soil classification and seismic soil liquefaction initiation assessment). Within the confines of this paper, it is intended to clarify and resolve some of these differences, and to propose improved recommendations for CPT stress normalization. For this purpose, available stress normalization databases from theoretical, numerical, and field data analyses approaches were compiled. For the soil types, and stress conditions where compiled database is not conclusive, additional finite element simulations have been performed. The resulting relationship not only eliminates several sources of bias intrinsic to previous, similar correlations, and provides greatly reduced overall uncertainty and variance, it also helps to establish a consensus to the stress normalization issue that have long been difficult and controversial. Key elements in the development of these new correlations are: (1) accumulation of a significantly expanded database of analytical/numerical CPT simulation results, as well as field and chamber test data from homogeneous soil layers; (2) use of improved knowledge and understanding of factors affecting CPT and stress normalization; and (3) use of high-order probabilistic tools (Bayesian updating).     

Effect of pH,flow rate and concentration on the sorption of Pb and Cd on montmorillonite: I. Experimental

Continuous column adsorption of lead (Pb) and cadmium (Cd) was studied using pH adjustment and calcium‐saturated montmorillonite in a short stainless steel column. Changing either pH or flow rate, while keeping inlet concentration of the ions constant, led to considerable changes in effluent concentrations and breakthrough curves (BTCs). At low pH values (2–4), H⁺ ions competed strongly with lead and cadmium ions; at intermediate pH (4–6), ionic size played the major role in adsorption and ion exchange and at high pH (6–9) precipitation was the major process taking place especially for lead sorption. At low flow rates less than 0.5 cm³ min⁻¹, sorption of both lead and cadmium increased due to the long retention time in the column. When both lead and cadmium ions were present in the feed, adsorption remained the same while that of cadmium decreased compared with single ion experiments. © 1999 Society of Chemical Industry