• Journal of Electrical Engineering and Technology
• /
• v.12 no.2
• /
• pp.911-917
• /
• 2017

There are generally three folds when developing neural network classifiers. They are as follows: 1) discriminant function; 2) lots of parameters in the design of classifier; and 3) high dimensional training data. Along with this viewpoint, we propose space search optimized polynomial neural network classifier (PNNC) with the aid of data preprocessing technique and simultaneous tuning strategy, which is a balance optimization strategy used in the design of PNNC when running space search optimization. Unlike the conventional probabilistic neural network classifier, the proposed neural network classifier adopts two type of polynomials for developing discriminant functions. The overall optimization of PNNC is realized with the aid of so-called structure optimization and parameter optimization with the use of simultaneous tuning strategy. Space search optimization algorithm is considered as a optimize vehicle to help the implement both structure and parameter optimization in the construction of PNNC. Furthermore, principal component analysis and linear discriminate analysis are selected as the data preprocessing techniques for PNNC. Experimental results show that the proposed neural network classifier obtains better performance in comparison with some other well-known classifiers in terms of accuracy classification rate.

• Asian Journal of Innovation and Policy
• /
• v.4 no.3
• /
• pp.397-409
• /
• 2015

Nowadays, crowdfunding presents a promising development. This research focuses on the influence of platform strategy and market response on the success of crowdfunding from the perspective of the elaboration likelihood model (ELM) theory. Detailed product specifications, crowdfunding difficulty coefficient, vivid advertising video such as introduction and music, and recommendations from relevant figures are all used to depict platform strategy. Meanwhile, we use the number of lovers, followers, comments and 1 RMB backers to measure the level of market response. And thus, we model the impact of platform strategy and market response on crowdfunding success with empirical studies based on 400 samples of observed value. We found firstly that there exist significant positive relations between the total amount of funds pledged and detailed product specification, vivid advertising video, recommendations from relevant figures and the number of 1 RMB backers. Secondly, the crowdfunding difficulty of projects affects negatively, and significantly, the total amount of funds pledged. Thirdly, the influence of the number of lovers and followers on funds pledged is not significant.

• Korean Management Science Review
• /
• v.12 no.2
• /
• pp.1-14
• /
• 1995

Recently Korean textile industry has been in the phase that requires its strategy change from the less-develped country style of the labor-intensive products to the developed country style of the technology-intensive products. It needs to make more efforts to develop the value-added products to meet the customer's various needs. In addition, development of technology, equipment, and design is required to implement its corporate strategy successfully. Although Korean textile companies have currently kept skillful labor and advanced equipments, they are losing their share in the international textile markets. This is mainly because corporate management has not been involved with efficient strategy. Strategy is an adoption of a company to environment by its corporate members, thus leading to the requirement of coordination of the main functions such as manufacturing and marketing. In fact, the coordination of the two departments toward reaching the corporate goal is not easy since the two are interested in different areas, respectively. Manufacturing people show their interests in production capacity, equipment layout, process technology, quality, purchasing, and labor while marketing people, target customer, product mix, advertisement, product specification, and customer service. For this reason, conflicts sometimes happen between the two departments. There are, however, many area that need a horizontal cooperation, for instance, in layout, process technology, product mix, and potential demand. Therefore, reciprocal coordination is necessary for achieving the firm's common objectives. This study was concerned with determining the factors that enhance the competitiveness of textile firms so that they could reach the common goal of the two departments with a horizontal collaboration.

• Journal of Power Electronics
• /
• v.16 no.6
• /
• pp.2109-2118
• /
• 2016

Based on the space vector pulse width modulation (SVPWM) theory, this paper realizes an easier SVPWM strategy, which is equivalently implemented by CBSPWM with zero-sequence voltage injection. The traditional SVPWM strategy has no effect on controlling the neutral-point voltage balance. In order to solve the neutral-point voltage unbalance problem for neutral-point-clamped (NPC) three-level inverters, this paper proposes a neutral-point voltage balance controller. The proposed controller realizes controlling the neutral-point voltage balance by dynamically calculating the offset superimposed to the three-phase modulation waves of an equivalent SVPWM strategy. Compared with the traditional SVPWM strategy, the proposed neutral-point voltage balance controller has a strong ability to balance the neutral-point voltage, has good steady-state performance, improves the output waveforms quality and is easy for digital implementation. An experiment has been carried out on a NPC three-level inverter prototype based on a digital signal processor-complex programmable logic device (DSP-CPLD). The obtained experimental results verify the effectiveness of the proposed neutral-point voltage balance controller.

• Journal of Power Electronics
• /
• v.18 no.6
• /
• pp.1879-1888
• /
• 2018

With power level of grid-connected converters rising, the switching frequency of the switching devices is commonly greatly reduced to improve its power capacity. However, this results in serious couplings of the dq current components, which leads to degradation of the static and dynamic performances of grid-connected converters and fluctuations of the reactive power in dynamic processes. In this paper, complex vector models under low switching frequency are established for an L/LCL grid-connected converter, and the relationship between the switching frequency and the coupling degree is analyzed. In addition, a series decoupling current control strategy is put forward. It is shown that the proposed control strategy can eliminate the couplings, improve the performances and have good robustness to parameter variations through static and dynamic characteristics analyses and a sensitivity analysis. Experimental and simulation results also verify the correctness of the theoretical analyses and the superiority of the proposed control strategy.

• Journal of Information Technology Services
• /
• v.2 no.1
• /
• pp.99-110
• /
• 2003

Because thin-client technology is introduction stage, some company has many problems. To reduce the problems, this paper presents the application areas and the introduction strategy of thin-client technology.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.4
• /
• pp.2038-2057
• /
• 2017

Gaussian learning is a new technology in the computational intelligence area. However, this technology weakens the learning ability of a particle swarm and achieves a lack of diversity. Thus, this paper proposes a vector Gaussian learning strategy and presents an effective approach, named particle swarm optimization based on vector Gaussian learning. The experiments show that the algorithm is more close to the optimal solution and the better search efficiency after we use vector Gaussian learning strategy. The strategy adopts vector Gaussian learning to generate the Gaussian solution of a swarm's optimal location, increases the learning ability of the swarm's optimal location, and maintains the diversity of the swarm. The method divides the states into normal and premature states by analyzing the state threshold of the swarm. If the swarm is in the premature category, the algorithm adopts an inertia weight strategy that decreases linearly in addition to vector Gaussian learning; otherwise, it uses a fixed inertia weight strategy. Experiments are conducted on eight well-known benchmark functions to verify the performance of the new approach. The results demonstrate promising performance of the new method in terms of convergence velocity and precision, with an improved ability to escape from a local optimum.

• New & Renewable Energy
• /
• v.8 no.3
• /
• pp.30-37
• /
• 2012

In this study, we studied solar cell and fuel cell. To estimate the technology competitiveness, we used patent analysis using patent information and delphi method. For patent analysis, PII indicating the impact of patent was used. Also to analysis PII, citations data of registered and published patent were used from 2001 through 2010 in the United States, Japan, South Korea and the European Patent Office. And the delphi method results of the 'International trend analysis on the Green Energy Technology and the establishment of international cooperation models(2009)' were cited to estimate the technology level. According to the analysis results, Korea's patent registration growth rate was fairly high, but the patent impact and technology levels were significantly lower than in the United States, Japan and Germany. Especially in the solar cell, United States's PII is 1.8, but Korea's PII is 0.2. And the technology level of United States is 7 to 8, but Korea's is 5 to 6. Therefore, to improve technology competitiveness, Korea need to enhance the core technology R&D, and set up the consumer-oriented R&D strategy for commercialization from R&D planning phase. In this study, we analysed competitiveness of renewable energy which is not actively discussed. But there are limitations of the study because we used the result of past research and patent data in the past 10 years. Therefore to accurate research the period of patent data should be extended. Finally diverse indicators for measuring the technology competitiveness should be researched and developed.

• Proceedings of the Korea Association of Information Systems Conference
• /
• 2004.05a
• /
• pp.202-213
• /
• 2004

An effective use of information and communications technology is thought of as critical for achieving corporate competitiveness. This study identifies patterns of corporate use of communications technology, and examines how the use of those technologies is associated with business strategies and the level of information intensity. A survey study on a sample of Korean corporations shows that the use of communications technology is closely related both to business strategy and information intensity, and that communications technologies can be divided into two types in terms of their usage pattern. The structured communication technology is found to be related to the tools and services that support structured tasks, and the The unstructured technology to the tools the use of which is less structured and more flexible. Cost-based strategy is found to be closely related to the use of structured communication technology, while differentiation strategy is closely related to the use of unstructured communication technology.

• Asian Journal of Innovation and Policy
• /
• v.6 no.2
• /
• pp.138-151
• /
• 2017

This aim of the study is to show the necessity of implementing an industrial innovation strategy with consideration given to characteristics of the industrial technology. The relationship between industrial technological characteristics and innovation performance is analyzed by using an innovation survey as well as a human capital corporate panel (HCCP). The time-lag effect is also examined. Findings of the analysis show that high-tech industries have entered the post catch-up technology innovation stage in the mid-2000s, but low-tech industries still seem to stay in the catch-up stage. In terms of technology policy, the additional technology innovation support policy should focus on enhancing the innovation capability of the middle and low technology industries, since high technology industries are already developing their own innovation capability. It is necessary to strengthen capacity building through technical cooperation with technology consulting, rather than providing technical support through suppliers.