IoT Information Evolution in Perspective of Objective Knowledge Evolution Theory

Abstract:

According to general characters and proposing processes of the internet of things (IoT), this paper redefines Karl Poppers three worlds under the view of the IoT. Whats more, under this view it proposes a new information evolutionary model and imitates part of knowledge evolution process by using the testing environment hadoop cloud disposal platform. Analogy the knowledge evolutionary algorithm for the evolution of objective knowledge that exists in the IoT world, objective knowledge of the theory of evolution in the internet of things environment has some applicability. By using data processing and algorithm simulation, we could get closer to the objective truth to adapt to a higher degree of knowledge. This is the knowledge for smart home knowledge base provides a certain basis on a certain reference value. According the new window in looking into the IoTs information, it can provide new ideas in processing information.

• Periodical: Applied Mechanics and Materials (Volumes 462-463)
• Pages: 949-955
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.462-463.949
• Online since: November 2013
• Authors: Liang Hu, Chen Xin Ma, Guo Hang Song*, Fang Ming Wu
• Keywords: Information Processing, Internet of Things (IOT), Knowledge Evolution, Three Worlds

References

[1] Endong Tong, Qiang Shen, Fuzzy Recognition of the life stages of Network Information, Information Science 2012, v. 30; No. 25309: 1277-1283.

[2] Lv Naiji , Advancing technologies in the world 3. Studies in Dialectics of nature 2009, v. 25; No. 25303: 40-44.

[3] Li Quanmin, Emerging from the world three to the virtual world, Communication of Dialectics of nature, 2003, 05: 37-41+110-111.

[4] Ren Xiaoming, Wang Zuoli, Comment on Popper's Evolutionary Epistemology, Science Technology and Dialectics, 2002, 06: 22-25.

[5] Zhao Tao, Constructivism and world 3, Science Technology and Dialectics 1998, 01: 25-29.

[6] Guohang Song, Research on IoT Information Evolution in Perspective of Objective Knowledge Evolution Theory. Jilin Univ. (2013).

[7] Yu Gu, Ge Yu, Xiaolong Hu, Yi Wang, Efficient RFID Data Cleaning Algorithm Based on Dynamic Event Probabilistic Model. Journal of Software, 2010, v. 2104: 632-643.

DOI: 10.3724/sp.j.1001.2010.03565

[8] Zhiming Ding, Xu Gao, Database Cluster System Framework for Managing Massive Sensor Sampling Data in the Internet of Things, Chinese journal of computers, 2012, v. 35; No. 35406: 1175-1191.

DOI: 10.3724/sp.j.1016.2012.01175

[9] Zhengkun Yin. Popper's World III and virtual world. The journal of Huazhong University of Science and Technology, 2002, 02: 20-24.