二元光学元件分析方法概述

作为 90年代的光学 ,二元光学具有广泛的应用前景。根据元件特征尺寸及观察衍射场离衍射元件的远近 ,二元光学元件的分析方法有两种 ,标量衍射分析法和矢量衍射分析法。本文详细介绍了两种方法及其具体应用范围 。

光纤的大长度轴向侧面抛磨实验及理论分析

在光器件的制作中，应用接近纤芯内部或附近传播的光场，常以光纤的轴向侧面抛磨为实现方法．目前小长度的光纤研磨技术已趋于成熟，但大长度的研磨仍为一技术难点．理论分析了光纤研磨的特性；实现了光纤的大长度研磨实验，并比较了实验结果与理论结果：二者变化规律基本相同；研磨精度可控，长度可选，最长可达十几厘米；在给定光纤参数下，得出光纤研磨的适宜深度范围为51．42~57．8μm．

Exploring Enterprise Performance Indicators Network： A Case Study of China Telecommunication Industry

Perforrmnce indicators play some important roles in enterprise operation. Both researchers and managers have recently pointed out that the identification of correlation between different performmance indicators may lead to a better understanding of business. However, it is becoming more and more difficult to measure and analyze these indicators since the fast growing number of performance indicators and the complex relationships between them The existing categories failed to reflect these changes in an adequate way, and the quantitative analysis methods for identifying the characters of those pefformance indicators are still worthy of investigation. The main objective of this paper is to propose a practical methodology for managing and analyzing performance indicators in enterprises, which focuses on building up a performance indicator system and discovering the characters of those performance indicators by applying complex network methods. The empirical results of a telecommunieation enterprise show that the proposed method can be effective in understanding the correlations between performance indicators.

Automatically detecting auditory P300 in several trials

A method was demonstrated based on Infomax independent component analysis(Infomax ICA) for automatically extracting auditory P300 signals within several trials. A signaling equilibrium algorithm was proposed to enhance the effectiveness of the Infomax ICA decomposition. After the mixed signal was decomposed by Infomax ICA, the independent component(IC) used in auditory P300 reconstruction was automatically chosen by using the standard deviation of the fixed temporal pattern. And the result of auditory P300 was reconstructed using the selected ICs. The experimental results show that the auditory P300 can be detected automatically within five trials. The Pearson correlation coefficient between the standard signal and the signal detected using the proposed method is significantly greater than that between the standard signal and the signal detected using the average method within five trials. The wave pattern result obtained using the proposed algorithm is better and more similar to the standard signal than that obtained by the average method for the same number of trials. Therefore, the proposed method can automatically detect the effective auditory P300 within several trials.

Measuring the Complexity of Business Organization and Business Software Using Analytic Hierarchy Process （AHP）

The paper shows a proposition of metrics for measuring the complexity of the business organization and business software. The metrics is based on a subjective estimation of complexity of the elements from a part of the structure of business organization or business software in relation to other elements from the observed part. Estimation is performed based on the measuring scale for comparison of complexity of elements, and reaching a final conclusion on the complexity of elements in relation to other elements, through the Analytic Hierarchy Process （AHP）. Defined in this manner, the metrics represents a unique metrics for measuring the complexity of elements of business organization and business software, which enables their comparison. The paper also presents a short overview of existing metrics for measuring the complexity of business organization and business software.

Ranking Quality Management Indicators for Radio Programs

Even though radio broadcasting is one of the most widespread electronic mass media, its management for survival is getting drastic. The competition among incumbent radio stations becomes challenging due to the market change and environmental evolution. Managing program quality is a critical issue to a radio station to sharpen its competitive advantages. Quality management of radio programs is intertwined with complicated factors. In order to identify the primary factors affecting radio program quality as well as explore the impact level these factors bring, this study adopts modified Delphi method and analytic hierarchy process （AHP） to explore the issues. According to the outcomes modified Delphi method, the factors were categorized into four dimensions： operation, coordination, structure, and improvement. Ten sub-dimensions were followed. Each sub-dimension includes six to nineteen indicators for measuring radio program quality. In total, 72 indicators were identified. The AHP result revealed that the most important weight was given to the operation dimension. On the contrary, the least important weight was placed on the improvement dimension. Among the sub-dimensions, the standard procedure and organizational design were rated more important than the rest. The results could provide some facts to radio managers for future management.

A Decision Method Based on Competition Model

We propose a decision method -double scale method to derive the priority vector of finite alternatives with respect to a single criterion based on competition model. Compared with the attribute hierarchical model, the double scale method is reasonable and practical.