• Home
  • Computer Science
  • Computer, Intelligent Computing and Education Technology by Hsiang-Chuan Liu, Wen-Pei Sung, Wenli Yao

Computer, Intelligent Computing and Education Technology by Hsiang-Chuan Liu, Wen-Pei Sung, Wenli Yao

By Hsiang-Chuan Liu, Wen-Pei Sung, Wenli Yao

Long ago 20 years, laptop technological know-how and data expertise became concerned with many assorted purposes in the course of the international, with a number of items and swift industry prone. they've got not just supplied industries with new tools, new instruments and new items from layout, fabric processing to operation and administration method, yet also are altering the manners, considering types and dealing environments of individuals in all fields.

Show description

Read or Download Computer, Intelligent Computing and Education Technology PDF

Best computer science books

Purely Functional Data Structures

Such a lot books on info buildings imagine an principal language comparable to C or C++. in spite of the fact that, facts buildings for those languages don't consistently translate good to practical languages corresponding to commonplace ML, Haskell, or Scheme. This publication describes facts buildings from the perspective of sensible languages, with examples, and offers layout concepts that let programmers to boost their very own useful information buildings.

Cyber Warfare: Techniques, Tactics and Tools for Security Practitioners (2nd Edition)

Cyber battle explores the battlefields, members and instruments and strategies used in the course of today's electronic conflicts. The suggestions mentioned during this e-book will supply these excited about info defense in any respect degrees a greater notion of ways cyber conflicts are conducted now, how they are going to swap sooner or later and the way to notice and shield opposed to espionage, hacktivism, insider threats and non-state actors like prepared criminals and terrorists.

Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications

Create your individual traditional language education corpus for computing device studying. even if you're operating with English, chinese language, or the other ordinary language, this hands-on booklet courses you thru a confirmed annotation improvement cycle—the strategy of including metadata in your education corpus to aid ML algorithms paintings extra successfully.

Software Engineering for Resilient Systems: 6th International Workshop, SERENE 2014, Budapest, Hungary, October 15-16, 2014. Proceedings

This e-book constitutes the refereed complaints of the sixth foreign Workshop on software program Engineering for Resilient structures, SERENE 2014, held in Budapest, Hungary, in October 2014. The eleven revised technical papers provided including one undertaking paper and one invited speak have been conscientiously reviewed and chosen from 22 submissions.

Additional info for Computer, Intelligent Computing and Education Technology

Example text

The above optimization problem can be solved with OMP algorithm (Tropp & Gilbert 2007) and other sparse recovery algorithms (Tropp & Wright 2010). , e–jπ(dM – 1)sinθi]T (1 ≤ i ≤ L) are the steering vectors, and nv(t) also denotes a complex additive white Gaussian noise vector. Suppose a M × dM matrix G, whose entries are zeros and ones, satisfy A( ) 0 * 1≤ k < j ≤ N | 〈 ϕ k , ψ j 〉 |, (9) where φk is the normal k-th row of Φ, and ψj is the normal j-th column of Ψ. Observe that μ(Φ, Ψ) ∈ [1, N ] (Candes & Wakin 2008).

1] With the development of smart home and mobile device, demand for integration between smart home terminals and mobile devices was growing rapidly. In this paper, based on the existing research results, the main contribution is to combine the XMPP protocol push mechanism and IAIDL language, and put forward a universal data push mechanism suitable for smart home. This mechanism can integrate different terminals in smart home and process internal and external data push services simultaneously. So connections inside and outside of smart home can be better implemented, and expansibility, efficiency and user experience of smart home can also be improved.

The remainder of this paper is described as follows: Sec. 2 introduces the Elman neural network. 2 ELMAN NEURAL NETWORK Elman neural network is a partial recurrent network model first proposed by Elman (Elman 1990). It is a special kind of feed-forward neural network, which has extra local memory neurons and feedback loop. The Elman neural network is capable of approximating a nonlinear system without an explicit physical model. An Elman neural network has four kinds of layers (Fig. 1): input layer, hidden layer, context layer and output layer (Chen 2008).

Download PDF sample

Rated 4.61 of 5 – based on 11 votes