The European Power Hierarchy, Member State Trust, and Public Support for the Common Security and Defense Policy. Jean Monnet/Robert Schuman Paper Series Vol. 15 No. 2, August 2015

Existing studies focus on overall support for European integration while less work has been done on explaining public opinion on specific policy areas, such as the development of the Common Security and Defense Policy (CSDP). We hypothesize that the probability of supporting a CSDP increases with greater levels of trust in the European Union member states, most notably the more powerful members. This variable is critical since integration’s development is influenced strongly by, and dependent on, the resources of the relatively more powerful European member states. Binary logistic regression analyses using pooled repeated cross-sectional data from the Eurobarometer surveys conducted from 1992 to 1997 among individuals of 11 member states largely support these claims.

Mixed human saliva, its variations in composition and amylolytic power and the action of its freed enzyme, a series of observations and experiments from a chemical standpoint; submitted in partial fulfillment of the requirements for the degree of M.S. [in the] University of California.

Type-written manuscript.

Report on modified flows at selected power sites, Columbia River basin.

Mode of access: Internet.

Remarks on canal navigation : illustrative of the advantages of the use of steam, as a moving power on canals : With an appendix, containing a series of experiments, tables, &c. on which a number of proposed improvements are founded : Also, plans and descriptions of certain classes of steam boats, intended for the navigation of canals, and the adjoining branches of the sea /

On plates: H.G. James's Lithography, 9 Ridge Field, Manchester.

Series-L/parallel-tuned Class-E power amplifier analysis

An analysis of the operation of a new series-L/parallel-tuned Class-E amplifier and its equivalence to the classic shunt-C/series-tuned Class-E amplifier are presented. The first reported closed form design equations for the series-L/parallel-tuned topology operating under ideal switching conditions are given, including the switch current and voltage in steady state, the circuit component values, the peak values of switch current and voltage and the power-output capability. Theoretical analysis is confirmed by numerical simulation for a 500 mW (27 dBm), 10% bandwidth, 5 V series-L/parallel-tuned, then, shunt-C/series-tuned Class-E power amplifier, operating at 2.5 GHz. Excellent agreement between theory and simulation results is achieved.

Time series wind power forecasting based on variant Gaussian process and TLBO

Due to the variability and stochastic nature of wind power system, accurate wind power forecasting has an important role in developing reliable and economic power system operation and control strategies. As wind variability is stochastic, Gaussian Process regression has recently been introduced to capture the randomness of wind energy. However, the disadvantages of Gaussian Process regression include its computation complexity and incapability to adapt to time varying time-series systems. A variant Gaussian Process for time series forecasting is introduced in this study to address these issues. This new method is shown to be capable of reducing computational complexity and increasing prediction accuracy. It is further proved that the forecasting result converges as the number of available data approaches innite. Further, a teaching learning based optimization (TLBO) method is used to train the model and to accelerate
the learning rate. The proposed modelling and optimization method is applied to forecast both the wind power generation of Ireland and that from a single wind farm to show the eectiveness of the proposed method.