This research papers examines the state-of-the-art in the area of P2P networks/computation. It attempts to identify the challenges that confront the community of P2P researchers and developers, which need to be addressed before the potential of P2P-based systems, can be effectively realized beyond content distribution and file-sharing applications to build real-world, intelligent and commercial...

An intelligent mathematical environment must enable symbolic mathematical computation and sophisticated reasoning techniques on the underlying mathematical laws. This paper disscusses diierent possible levels of interaction between a symbolic calculator based on algebraic algorithms and a theorem prover. A high level of interaction requires a common knowledge representation of the mathematical ...

Combining image processing and artificial neural network technology, a new diagnose method of soybean leaf diseases has been proposed, which identified the methods of division algorithm and eigenvalue computation, meanwhile, established a three-level neural network model to identify the diseased spot areas. According to the characteristics of soybean leaf disease, a new diagnose method has been...

Intelligent building (IB) technologies have widespread applications in the building design and development. In this regard, it is necessary to develop intelligent building assessment models in order to satisfy the clients, professionals, and occupants' growing demands. To this end, this paper proposes an integrated analytic hierarchy process (AHP) and preference degree approach (PDA) under the ...

Due to limited computation and storage resources of industrial internet things (IoT) edge devices, many emerging intelligent IoT applications based on deep neural networks (DNNs) heavily depend cloud computing for storage. However, faces technical issues in long latency, poor reliability, weak privacy, resulting the need on-device On-device is essential time-critical applications, which require...

a Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China b Centre for Quantum Computation & Intelligent Systems, University of Technology Sydney, Broadway, NSW 2007, Australia c Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing, China d College of Information Science & Technology, Univ. of Nebraska at Omaha, Omaha, NE 68...

1 -Norm Maximization Minnan Luo, Feiping Nie,2⇤ Xiaojun Chang, Yi Yang, Alexander Hauptmann, Qinghua Zheng 1 Shaanxi Province Key Lab of Satellite-Terrestrial Network , Department of Computer Science, Xi’an Jiaotong University, P. R. China. 2 School of Computer Science and Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, P. R. China. Centre for Quantum Co...

The use of intelligent techniques in the manufacturing field has been growing the last decades due to the fact that most manufacturing optimization problems are combinatorial and NP hard. This paper examines recent developments in the field of evolutionary computation for manufacturing optimization. Significant papers in various areas are highlighted, and comparisons of results are given wherev...

This paper describes a 51.2 GOPS video recognition processor that provides a cost effective device solution for vision based ICC (Intelligent Cruise Control) applications. By integrating 128 4-way VLIW processing elements into a single chip based on a SIMD linear array architecture, and operating in 100 MHz, the processor achieves to provide a computation power enough for a weather robust lane ...

Explanations have been introduced in the previous century. Their interest in reducing the search space is no longer questioned. Yet, their efficient implementation into CSP solver is still a challenge. In this paper, we introduce ESeR, an Event Selection Rules algorithm that filters events generated during propagation. This dynamic selection enables an efficient computation of explanations for ...