As the focus on higher education in China gradually shifts from rapid development to an emphasis on quality, the need for campus environments to become facilitators of education has gained increasing attention. The accelerated development of information technology has also led to tremendous changes in both teaching and learning methods, with informal learning taking on an increasingly important role. Furthermore, the development of human sensing technology, especially visual perception technology, has brought in new opportunities for the research and optimization of informal learning spaces (ILSs) in universities. This paper focuses on the ILS in Chinese universities by exploring optimal design approaches based on visual perception analysis. Through research and field investigation, this paper proposes revised theoretical research of classifications and spatial elements of ILS in universities more applicable to the architectural study of space. This paper also explores practical optimal design methods with two case studies and makes experiments with wearable eye trackers to study the users’ perception in these spaces before and after optimization. The optimal design is made from the aspects of physical space, facilities, and environment. Visual perception experiments and quantitative analysis were used to obtain a higher level of experimental accuracy than the previous studies and thus to study the real feeling of users in spaces. By these means, the effect of the optimized design was verified and the relation between users’ perceptions and the spatial environments was explored for further improvements to optimal design methods. This article can provide theoretical and practical references for campus space optimization research and design, especially for ILS on university campuses.
This paper takes (2, 1, 5) convolutional codes as example, disscusses the decoding algorithm for (n, 1, m) convolutional codes according to the principle of the reversibility of the modulo 2 operation.We designed the decoder and the syndrome of the (2, 1, 5) convolutional codesbased on its encoder firstly; then studied on the error correction methodused for one or two bits error within a constraint lengthaccording to the corresponding relationships between syndrome and the type of error codes; finally validity of this algorithm is verified through the computer simulation.
With the prosperous development of the next generation Internet technology and the rapid popularization of intelligent ends, cloud media will shift from "one cloud end, multi-screen" to "user-centered" "endless interaction", becoming the next transformation of Internet and serving the world more extensively. Aiming at making the intelligent city construction more humanized, this paper narrates the basic features, platform construction, communication trend of cloud media, and discusses the positioning, fusing and innovation of cloud media in TV, mobile phone, medical treatment and emergency management.
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