苦难与罪恶中怒放的绝世名花 --浅析《扶桑》中女主人公形象的文化意蕴

透过小说《扶桑》跌宕起伏的故事情节，意在探究女主人公扶桑的母性形象及其所承载的人性内涵。通过对扶桑及其所属族群行为特征的对比剖析，挖掘出“女性”在北美华人移民史中的象征性，并指出了东方文化的真正精魂所在。     

关于进一步完善我国智慧城市评估体系的建议

完善智慧城市评估体系,有助于揭示智慧城市发展内在本质、科学衡量智慧城市发展水平,并正确引导城市智慧化发展。本文系统地回顾了国内外已有智慧城市评估体系的特点,分析了存在的共性问题。从"两大基础、四大应用"基本框架出发,给出了建议性的评估体系,并从评估组织体系、加强统计调查和开展试点评估三个方面给出了完善评估机制的建议。     

借助“物联网”与“云计算"技术构建智慧图书馆

论文深入研究了智慧图书馆的组成结构及其支撑技术,分析了通过利用这些关键的支撑技术,智慧图书馆在资源管理和读者服务方面发生的革命性变化。在此基础之上,研究了智慧图书馆在构建过程中所需要解决的关键问题,明确了智慧图书馆的设计实现策略。     

“互联网+”创新驱动制造业发展研究

创新是驱动经济发展的核心关键。为探究"互联网+"创新如何驱动制造业发展,从"互联网+"创新驱动制造业发展的运行机制、运行模式和发展途径等方面,提出"创新互联网平台"和"智慧创新元"的概念,深入研究"互联网+"创新驱动制造业的演化发展。"互联网+"创新是一种全新的创新模式,可以彻底改变传统的创新模式,变革制造业的组织模式,驱动制造业关键技术跨越发展,实现制造业转型升级。研究结论具有一定的理论和实践意义,以期为制造业发展提供参考和借鉴。     

Self-certified multi-proxy signature schemes with message recovery

Multi-proxy signature schemes allow the original signer to delegate his/her signing power to n proxy signers such that all proxy signers must corporately generate a valid proxy signature on behalf of the original signer. We first propose a multi-proxy signature scheme based on discrete logarithms and then adapt it to the elliptic curve cryptosystem. With the integration of self-certified public-key systems and the message recovery signature schemes, our proposed schemes have the following advantages： （1） They do not require the signing message to be transmitted, since the verifier can recover it from the signature; （2） The authentication of the public keys, verification of the signature, and recovery of the message can be simultaneously carried out in a single logical step; （3） No certificate is needed for validating the public keys. Further, the elliptic curve variant with short key lengths especially suits the cryptographic applications with limited computing power and storage space, e.g., smart cards. As compared with the previous work that was implemented with the certificate-based public-key systems, the proposed schemes give better performance in terms of communication bandwidth and computation efforts.     

Dynamics of R&D networked relationships and mergers and acquisitions in the smart card field

This paper analyzes how the structure and the evolution of inter-firm agreements have shaped the development of the smart card industry. The aim is to establish a closer connection between the evolution of inter-firm agreements in the smart card industry and the patterns of change of technology and demand in this new high-tech industry. Based on a proprietary database covering both collaborative agreements and mergers and acquisitions (M&As) occurring in this industry over the period 1992–2006, we find that the evolution of technology and market demand shapes the dynamics of R&D networks and M&As are likely to change the industry structure. We also find that a small group of producers – first-movers – still control the industry and technological trajectories. Their position arises not for oligopolistic reasons of market structure, but for technological and organizational reasons.     

Autonomic machine learning platform

Acquiring information properly through machine learning requires familiarity with the available algorithms and understanding how they work and how to address the given problem in the best possible way. However, even for machine-learning experts in specific industrial fields, in order to predict and acquire information properly in different industrial fields, it is necessary to attempt several instances of trial and error to succeed with the application of machine learning. For non-experts, it is much more difficult to make accurate predictions through machine learning.In this paper, we propose an autonomic machine learning platform which provides the decision factors to be made during the developing of machine learning applications. In the proposed autonomic machine learning platform, machine learning processes are automated based on the specification of autonomic levels. This autonomic machine learning platform can be used to derive a high-quality learning result by minimizing experts’ interventions and reducing the number of design selections that require expert knowledge and intuition. We also demonstrate that the proposed autonomic machine learning platform is suitable for smart cities which typically require considerable amounts of security sensitive information.     

新一代服务平台环境下的智慧图书馆建设:业务重组与数据管理

在信息时代数据意识全面增强的背景下,图书馆作为科研活动和文化事业发展的重要支撑,其服务和业务管理也应尽快走向数据化和智能化。本文以新一代图书馆服务平台的实施为契机,回顾我国图书馆业务重组的历史,探索大数据背景下图书馆业务流程重组的方法和主要内容,包括采访流程再造、馆藏模式再造、服务流程重组和图书馆人员再造等。在智慧图书馆建设的背景下,要革新图书馆服务理念,提供一体化的读者服务和资源发现服务,重构学术服务,强化数据管理。从全国图书馆发展的宏观规划来看,图书馆联盟也需重构,要探索向智慧图书馆联盟的转型升级。图书馆整体应该跳出传统的文献服务范畴,以数据智能计算为中心,着眼于数据的搜集、组织、挖掘、应用的全过程,将数据服务作为新时代图书馆服务的主要能力。     

广东省科技服务超市商业模式研究——以肇庆市智慧超市为例

以肇庆市智慧超市为科技服务行业的代表,运用商业模式画布工具分析其商业模式,找出存在的问题,并提出相应的对策。本研究对于提升区域自主创新能力,加快广东省科技服务产业的发展,促进广东产业转型升级具有重要战略意义。     

智慧专业化:区域创新战略的理性选择

通过分析智慧专业化产生的时代背景,结合数据挖掘和GIS,分析智慧专业化在欧洲的实践现状,为我国区域创新活动发展提供三方面建议,即:智慧专业化作为国际区域创新战略新趋势,为区域创新发展提供了新的结构分析体系,为区域优势领域识别提供了新的方法,同时丰富了区域创新驱动发展内涵。智慧专业化不仅有利于实现区域创活动有效性的提升,也能有效避免区际发展模式雷同的问题,是区域创新战略的理性选择。