In recent years, wireless sensor network becomes popular both in civil and military jobs. However, security is one of the significant challenges for sensor network because of their deployment in open and unprotected environment. As cryptographic mechanism is not enough to protect sensor network from external attacks, intrusion detection system (IDS) needs to be introduced. In this paper we prop...

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...

A HIERARCHICAL FRAMEWORK FOR ESTIMATING HETEROGENEOUS ARCHITECTURE-BASED SOFTWARE RELIABILITY

architecture specifications Figure 3. PICO’s hierarchical design flow.

The Hierarchical Architecture Simulation Environment (HASE) is a tool for modelling and simulating computer architectures. Using HASE, designers can create and explore architectural designs at different levels of abstraction through a graphical interface based on X-Windows/Motif and can view the results of the simulation through animation of the design drawings. This chapter describes the desig...

This paper 1 introduces the system we developed for the Youtube-8M Video Understanding Challenge, in which a large-scale benchmark dataset [1] was used for multilabel video classification. The proposed framework contains hierarchical deep architecture, including the framelevel sequence modeling part and the video-level classification part. In the frame-level sequence modelling part, we explore ...

This paper focuses on architecture-aware source-level code transformation methods for low energy consumption in complex VLIW processors. Though energy issue has long been addressed at hardware level, but a significant contribution of software applications can not be ignored. Successive energy-cycle cost guarded parametric optimization are applied in proposed iterative compilation environment to...

We explore efficient neural architecture search methods and show that a simple yet powerful evolutionary algorithm can discover new architectures with excellent performance. Our approach combines a novel hierarchical genetic representation scheme that imitates the modularized design pattern commonly adopted by human experts, and an expressive search space that supports complex topologies. Our a...

Lancaster University is investigating the design of a scalable hierarchical video storage architecture, which can support the replay of tens of simultaneous video and audio streams to clients distributed around the campus and wide area. The project aims to address the bandwidth problems of single node video servers, by providing multiple storage instances with streams load balanced across the i...

Cognition can appear complex owing to the fact that the brain is capable of an enormous repertoire of behaviors. However, this complexity can be greatly reduced when constraints of time and space are taken into account. The brain is constrained by the body to limit its goal-directed behaviors to just a few independent tasks over the scale of 1-2 min, and can pursue only a very small number of i...