Academic literature on the topic '代工模式'

“新工科”建设指明了我国工程教育改革的新方向，为新兴领域工程科技人才培养模式的构建带来了新思路。以大数据、云计算、人工智能为代表的新一代信息技术的迅猛发展为新工科建设的推进起到了“排头兵”的作用。工科的自动化专业作为信息技术的引领专业，在人才培养中占据重要作用。本篇文章从新工科建设理念出发，通过分析现有自动化专业人才培养的问题，结合我院自动化专业人才培养实际，提出新工科背景下将人工智能课程融入自动化专业人才培养模式的探究。

随着我国建筑行业的不断发展与进步，越来越多的新技术、新理念被应用到工程建设管理工作中，极大的促进了建筑工程建设质量的提升。信息化管理是当前社会各个行业管理工作的重要发展趋势，这种管理模式不仅能够促进工作质量和效率大大提升，同时也有助于管理模式的现代化转变。现阶段，信息化管理模式已受到我国建筑工程领域的高度关注，并推动了工程项目管理工作的信息化建设。本文就建筑工程施工项目信息化管理建设展开全面探讨和研究，以期为相关领域从业者提供必要的参考和帮助。

碩士
國立政治大學
企業管理研究所
94
Receiving outsourcing project orders from foreign major companies is the primary business of the 3D Animation firms in Taiwan currently. However, since the cost of the infrastructure for animation production has reduced, it is easier for developing countries to enter this industry, where labor cost is lower. Accordingly, Taiwan’s position in the value chain of the animation industry is threatened. Two solutions have been proposed in order to solve this problem. First, animation firms in Taiwan should extend to the high value-added content developing activities. Second, Taiwanese animation firms should improve their capability and retain their competence. This research focuses on how to improve the capability of animation firms in Taiwan, since it is still immature for them to transform into content developers, owing to the lack of experience and limitation of market size. Animation industry in Taiwan is in its infancy: most of the animation firms finish project orders independently. On the contrary, many industries in Taiwan, such as the computer industry, have developed excellent OEM/ODM models. Therefore, this research adopts case study method, taking CGCG Interactive as target, and compares it with the models of TSMC and Quanta Computer to figure out a suitable OEM supplier’s model in 3D animation industry. This research first concludes that there are four dimensions concerning the decision making process on selecting vertical integration or outsourcing strategies. These dimensions are cost, product, technology, and supplier (industry). Then these dimensions are used to analyze the supply model of TSMC and Quanta Computer so as to propose an appropriate supply model CGCG Interactive.

碩士
中國醫藥大學
職業安全與衛生學系碩士班
104
Background: Occupational noise exposure is one of the common problems in the workplace, and noise predictions are considered the most efficient way to evaluate occupational noise exposure. In the noise prediction model, the most important part is to analyze parameters related to noise levels at work. Objectives: This study aimed to develop a noise predictive model of occupational noise and to evaluate its validity by the actual noise measurements in a prospective cohort. In addition, this study investigated the impact factors related to different noise frequencies at work. Methods: This study used personal noise data among 143 volunteers and noise spectral characteristics at 48 sampling sites during 2008 - 2009 to develop noise predictive models. We recruited 123 volunteers to carry out personal-noise measurements and selected 116 environmental sites to analyze noise frequency components, as well as the collection of self-administered questionnaires during 2014 - 2015. We combined these information to develop multivariable linear regression models and evaluate the validity of developed models. Results: The whole workers exposed to personal noise levels of 75.4±8.7 dBA. Fourty-three field workers (82.6±7.4 dBA) and 31 mixed workers (74.9±6.7 dBA) had significantly higher average noise levels than 49 office workers (69.6±5.6 dBA; P <0.0001; P = 0.0002). Workers in the structure-assembly plant had the highest average noise exposure (86.2±6.6 dBA) compared with those in other departments. In addition, the highest average levels of environmental noise were found at 31.5 Hz, 63 Hz, 125 Hz, and 250 Hz in the steel plant (39.7±1.9, 50.7±6.2, 57.1±3.6, 64.3±1.7 dBA) and observed at 500 Hz, 1000 Hz, 2000 Hz, 4000 Hz, and 8000 Hz in the structure-assembly plant (68.4±2.7, 72.4±2.9, 74.0±3.4, 74.9±4.3, 70.4±4.9 dBA). We also found that the combination of branch and the use of HPDs in the model had the highest capacity (adjusted R2 0.66) to predict personal noise levels. In comparison with the personal-noise measurements from 123 workers, the precise and bias was 6.5±0.9 dBA. Regarding with environmental noise exposure, only the branch in each model of frequency components had the highest predictive capacity (adjusted R2 was 0.85, 0.76, 0.67, 0.27, 0.10, 0.17, 0.24, 0.34, and 0.46, respectively) and the better prediction was observed at 31.5 Hz, 63 Hz, and 125 Hz. In comparison with the measurements of frequency components at 116 environmental sites, the precise and bias were 5.5±-8.5 dBA, 8.4±-12.1 dBA, 8.6±-14.6 dBA, 8.9±-13.8 dBA, 8.2±-12.4 dBA, 8.7±-12.4 dBA, 8.3±-13.2 dBA, 8.3±-13.2 dBA, and 7.9±-12.0 dBA, respectively. Conclusion：This study showed that the predictive model of personal noise has a good predictive capacity, and it can be effectively applied to a prospective cohort for workers’ noise exposure. However, only environmental noise at low frequency components has the good prediction.

智慧城市作为一种新型的城市发展模式，越来越受到人们的认可与应用。随着社会经济和科学技术的不断发展，智慧城市建设越来越成熟，信息安全是智慧城市建设中的重要问题，是城市规划和运行的保障。如何将理想中快捷、方便、低碳、科技的城市科学有效地落实到空间上是一项长期的研究任务。本书分别从城市规划的内容及体系、城市用地及其规划、城市空间规划、低碳时代城市规划的管理探究、地形图测绘及其应用、总图运输设计与工程测量在城市规划中的应用、大数据在智慧城市规划中的应用、智慧城市信息安全对智慧城市规划设计与信息安全进行了详细的分析。

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