Currently, Internet and big data as the representative of emerging technologies are widely penetrated into every aspect of the high-end equipment manufacturing industry. Considering the characteristics of multi-source, personalized and potential for high-end equipment, this paper focuses on requirement elicitation in the background of Internet, and proposes a high-end equipment requirement elicitation model based on requirement classification, which stands on the perspective of management to study the high-end equipment requirement elicitation. First, we classify the user's need, and then different technical means are taken orienting different types of needs. In this paper, according to users' master degree of requirement, requirements can be divided into instant user requirement and potential user requirement. For instant user requirement, we design a requirement interaction platform based on Internet; For potential user requirement, a requirement mining model based on the open source information of the Internet is established. Eventually, a complete user requirement program is integrated. In conclusion, the idea of classifying the requirements provides a new perspective on requirement elicitation of high-end equipment. 1.Introduction The high-end equipment refers to that kind of technology equipment, which has high technology content, large capital investment, long service life, and involving many disciplines, generally requires the organization of cross-sectoral, cross-industry, cross-regional manufacturing power to complete, such as aviation equipment, rail transportation equipment, marine engineering equipment, intelligent manufacturing equipment etc. To cultivate and develop the high-end equipment manufacturing industry, which is a necessary demand to enhance the core competitiveness of China's industry. For accelerating the transformation of economic development mode and achieving the transformation of the manufacturing country to a powerful country have important strategic significance. The Chinese government also attaches great importance to the development of high-end equipment manufacturing industry, and issued a number of planning and policy measures to accelerate the industrial development of high-end equipment manufacturing industry. The current situation investigation and development Strategy Research Report of 2014-2020 Chinese high-end equipment manufacturing industry have showed that manufacture a high-end equipment must base on user's requirement, and to meet the individual requirements is the starting point and ultimate goal of high-end equipment manufacturing. The strategic guidelines of "Chinese manufacturing 2025" also pointed out that we should make the work of requirement analysis and management in economic development and national defense construction clear. In addition,we should realize the transformation from "China manufacturing" to " China creation" with the combination of industrial technology and information technology. Therefore, the requirement elicitation of high-end equipment m...
A low-voltage and low-power true single-phase flip-flop that minimum the total transistor count by using the pass transistor logic circuit scheme is proposed in this paper. Optimization measures lead to a new flip-flop design with better various performances such as speed, power, energy, and layout area. Based on post-layout simulation results using the TSMC CMOS 180 nm and 90 nm technologies, the proposed design achieves the conventional transmission-gate-based flip-flop design with a 53.6% reduction in power consumption and a 63.2% reduction in energy, with 12.5% input data switching activity. In order to further the performance parameters of the proposed design, a shift-register design has been realized. Experimental measurements at 0.5 V/0.5 MHz show that this proposed design reduces power consumption by 47.3% while achieving a layout area reduction of 30.5% compared to the conventional design.
Abstract. At present, most research about the impact factor of new energy automobile sales is qualitative. There is controversy over different influence of each factor. To some extent hindered the market promotion of new energy automobile. This paper utilizes Internet search data to analyze the impact factors of new energy automobile sales in the era of big data. Based on the behavior process of consumers who purchased new energy automobile, we firstly use Baidu search engine data to calculate the corresponding search index. Then we use the keyword search index and related data of new energy automobile sales as a basis, to compare the domestic market sales and quantitatively analyze the influence factors. Lastly we provide some guides and suggestions targeting at the market promotion of new energy automobile
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