"Can the neuro fuzzy model predict stock indexes better than its rivals?"

This paper develops a model of a trading system by using neuro fuzzy framework in order to better predict the stock index. Thirty well-known stock indexes are analyzed with the help of the model developed here. The empirical results show strong evidence of nonlinearity in the stock index by using KD technical indexes. The trading point analysis and the sensitivity analysis of trading costs show the robustness and opportunity for making further profits through using the proposed nonlinear neuro fuzzy system. The scenario analysis also shows that the proposed neuro fuzzy system performs consistently over time.

Case Study of Internationalization Strategy of Cord Set Industry in Taiwan

The present study mainly investigated the internationalization strategy of case company in Taiwan cord set industry. The characteristics of this industry are low gross profit rate, many competitors, and high customer overlap. Thus, the companies need to have considerable economies of scale and productivity in order to competitive in the global market. Besides, the academic research about the internationalization strategy of this traditional manufacturing industry is lack. The results of present study not only can provide the proper internationalization strategy direction of case company, but also can provide reference to other companies in Taiwan cord set industry. Results showed the internationalization courses of case company are: (1) Joint venture and sole proprietorship are the main types of case company to setup overseas subsidiaries; (2) The purpose of difference areas is different: the subsidiaries of mainland China is followed customer and the Southeast Asia is expansion growth; (3) The internationalization strategy of case company is mainly followed the international leading company and pursuit of growth in current stage; (4) The strategy of cord set industry in Taiwan should be strategic alliance and diversification of products in the future

Finding efficient frontier of process parameters for plastic injection molding

Product quality for plastic injection molding process is highly related with the settings for its process parameters. Additionally, the product quality is not simply based on a single quality index, but multiple interrelated quality indices. To find the settings for the process parameters such that the multiple quality indices can be simultaneously optimized is becoming a research issue and is now known as finding the efficient frontier of the process parameters. This study considers three quality indices in the plastic injection molding: war page, shrinkage, and volumetric shrinkage at ejection. A digital camera thin cover is taken as an investigation example to show the method of finding the efficient frontier. Solidworks and Moldflow are utilized to create the part's geometry and to simulate the injection molding process, respectively. Nine process parameters are considered in this research: injection time, injection pressure, packing time, packing pressure, cooling time, cooling temperature, mold open time, melt temperature, and mold temperature. Taguchi's orthogonal array L27 is applied to run the experiments, and analysis of variance is then used to find the significant process factors with the significant level 0.05. In the example case, four process factors are found significant. The four significant factors are further used to generate 34 experiments by complete experimental design. Each of the experiments is run in Moldflow. The collected experimental data with three quality indices and four process factors are further used to generate three multiple regression equations for the three quality indices, respectively. Then, the three multiple regression equations are applied to generate 1,225 theoretical datasets. Finally, data envelopment analysis is adopted to find the efficient frontier of the 1,225 theoretical datasets. The found datasets on the efficient frontier are with the optimal quality. The process parameters of the efficient frontier are further validated by Moldflow. This study demonstrates that the developed procedure has proved a useful optimization procedure that can be applied in practice to the injection molding process

Enhancement in electron field emission in ultrananocrystalline and microcrystalline diamond films upon 100 MeV silver ion irradiation

[[abstract]]Enhanced electron field emission (EFE) behavior was observed in ultrananocrystalline diamond (UNCD) and microcrystalline diamond (MCD) films upon irradiation with 100 MeV Ag9+-ions in a fluence of 5×1011 ions/cm2. Transmission electron microscopy indicated that while the overall crystallinity of these films remained essentially unaffected, the local microstructure of the materials was tremendously altered due to heavy ion irradiation, which implied that the melting and recrystallization process have occurred along the trajectory of the heavy ions. Such a process induced the formation of interconnected nanocluster networks, facilitating the electron conduction and enhancing the EFE properties for the materials. The enhancement in the EFE is more prominent for MCD films than that for UNCD films, reaching a low turn-on field of E0 = 3.2 V/μm and large EFE current density of Je = 3.04 mA/cm2 for 5×1011 ions/cm2 heavy ion irradiated samples.[[incitationindex]]SCI[[incitationindex]]EI[[booktype]]紙本[[booktype]]電子