基于仿生智能软件适应性解决多浏览器兼容问题的解决方案

随着互联网技术的快速发展,通过浏览器访问各类网站成为获取信息和网上办事的主要方式,多种浏览器并存的现状造成了各类兼容性问题,大大降低了用户体验感,成为互联网信息化的一个"痛点"。在互联网的世界里,IE、火狐(Firefox)、谷歌(Chrome)、360安全浏览器、Safari和Opera等浏览器占据了互联网世界的大部分入口,瓜分了互联网世界的市场份额;就好比沙漠,海洋,高原,冰川等不同地理环境分割了整个地球,能够突破浏览器的限制在互联网世界里畅游的网络系统数量很少。另一方面,自然界的物种适应性比较强的动物却能在各种地貌环境自由生存,如狐狸既有沙漠狐也有北极狐,它们能够在极度干旱或严寒的环境中适应生存。那么受自然界生物适应性的启发,通过仿生智能软件开发的手段,借助软件诞生阶段的适应性应用,来解决浏览器兼容性问题就是本文要讨论的内容。诞生不过几十年的IT行业,向有着几亿年的生物界学习,既是大势所趋也是一种新颖可行的思考方式。

Simulation analysis of ammonia distribution in methanol production from coal water slurry gasification

Aspen plus software was employed to simulate process. The system concludes gasification scrubbing system the opposed multi-burner gasifier （OMB） methanol production and purification shift system. The distributions of ammonia con- centration in streams were obtained. The study demonstrates that ammonium crystallization problem caused by ammonia ac- cumulation, and if the process has ammonia exports its concentration will greatly reduced and the ammonia salt problem will effectively alleviate. Aspen plus simulation is a useful tool strengthening the ammonia recycling use and reducing pollutant for improving water quality, maintaining stable production, emissions.

Modeling and Simulation of Hydrogen Storage Device for Fuel Cell Plant

The article reviews a brief literature on the modeling of hydrogen storage device for fuel cell. Different dimensional approaches in modeling hydrogen absorption/desorption in a metal hydride reactor for use in fuel cell are summarized. Mathematical modeling equations involved are also stated. The effect of various operating parameters such as temperature, concentration, viscosity, thermal conductivity and time on the gas is also verified. The importance of various simulation software with reference to their major functions is also identified. The review concludes on the opportunities and challenges with the use of hydrogen as an alternative renewable energy.

关于生命科学应用于智能化软件开发的初步实践及思考

仿生软件工程是把仿生学和软件工程相结合,利用仿生学的理论体系运用于指导软件工程的研究。仿生软件开发的学术论文较少,在实际应用中更少有成功的案例。另一方面,当今人工智能如机器学习等技术方兴未艾,作为其中一个分支的人工神经网络研究,是根据仿生学模拟人体大脑结构的交叉学科,近年来取得了很大进展,而生命科学应用于软件科学的热点在于机器学习,即智能仿生软件的开发与应用,而并不关注软件的诞生过程。笔者认为如果把一款软件比作一个生命体,研究人员竞相关注于后期的机器学习,即争做智能化"老师",而不愿关注如何全自动化、智能化地来生产软件,即孕育、分娩仿生软件。这样的趋势并不合理,因为生命科学对于仿生智能软件开发的借鉴意义,应该是全生命周期的,即贯穿于软件开发的全过程,尤其是软件诞生初期,只有在其设计模式与开发理念都符合未来智能化发展趋势的前提下,软件才能拥有更高的智慧并通过后期机器学习成为高智慧的仿生命体。正如人类孕育诞生之初,就拥有尔后通过学习开发高智慧的全部基因。正因为软件孕育诞生即早期设计的重要性绝不亚于后期的机器学习,故本文着重对仿生学如何应用于智能化软件的诞生进行实践与探索。