We propose an approach for forecasting video of complex human activity involving multiple people. Direct pixellevel prediction is too simple to handle the appearance variability in complex activities. Hence, we develop novel intermediate representations. An architecture combining a hierarchical temporal model for predicting human poses and encoder-decoder convolutional neural networks for rende...

One policy making issue that needs to be addressed more effectively through an intergovernmental and participatory approach is entrepreneurship policy. Entrepreneurship is an area where interdependencies are very high, and the establishment of collaborative relationships such as networks is vital. Therefore, a network approach in the entrepreneurial policy-making process, which leads to the inv...

A hierarchical clustering P2P network model based on user interest is presented in this paper to improve search efficiency. The routers in the network are abstracted as the activated peer node, and the activated routing table is constructed to depict the character of the interest cluster. The P2P network is divided into different subnets according into their interest character, and the correspo...

Recent advances in wireless sensor network (WSN) and radio frequency identifier (RFID) have made it possible to extend current human-to-human communication to the future unified communication environment among human society, computer network and the external physical world. A ubiquitous hierarchical generalized-sensor network (UHGSN) is presented in this paper as a typical network model for suc...

Recently a great deal of attention has been paid to the design of hierarchical shared memory cluster system. Cluster computing has made hierarchical computing systems increasingly common as target environment for large-scale scientific computations. This paper proposes hierarchical shared memory cluster architecture with load balancing and fault tolerance. Hierarchies of shared memory and cache...

Clustering is an important characteristic of most sensor applications. In this paper we define COSMOS, the Cluster-based, heterOgeneouS MOdel for Sensor networks. The model assumes a hierarchical network architecture comprising of a large number of low cost sensors with limited computation capability, and fewer number of powerful clusterheads, uniformly distributed in a two dimensional terrain....

The relevance feedback process uses information obtained from a user about a set of initially retrieved documents to improve subsequent search formulations and retrieval performance. In extended Boolean models, the relevance feedback implies not only that new query terms must be identified and re-weighted, but also that the terms must be connected with Boolean And/Or operators properly. Salton ...

A direct adaptive neural network control system with and without integral action term is designed for the general class of continuous biological fermentation processes. The control system consists of a neural identifier and a neural controller, based on the recurrent trainable neural network model. The main objective is to keep the glucose concentration, which is considered as external substrat...