Cognitive radio is a potential technique to solve the spectrum shortage problem in wireless communications. Integrating wireless relaying into the cognitive radio networks can further improve the spectrum efficiency. In this study, a multiple-input multiple-output cognitive relay network is considered, where the primary network (PN) consists of one transmitter-receiver pair and the secondary network consists […]
Read moreCognitive radio networks using relays have been introduced to enhance secondary network performance by having secondary users (SUs) transmit in two hops. This paper develops a framework for a random cognitive relay network (RCRN) where the primary, secondary, and relay nodes are randomly distributed according to Poisson point processes (PPPs) to investigate the effect of […]
Read moreTwo major challenges in networked control systems are the time-varying networked-induced delays and the packet losses. To alleviate these problems, this study presents a novel fuzzy sliding mode controller, where a fuzzy system is used to estimate the nonlinear dynamical system online, and the networked-induced delay is handled by Pade approximation. The problem of packet […]
Read moreThe Internet of Things (IoT) has the strong potential to support a human society interacting more symbiotically with its physical environment. Indeed, the emergence of tiny devices that sense environmental cues and trigger actuators after consulting logic and human preferences promises a more environmentally aware and less wasteful society. However, the IoT inherently challenges software […]
Read more
No Comments
Regional ACO-Based Cascaded Adaptive Routing for Traffic Balancing in Mesh-Based Network-on-Chip Systems
The regular topology of mesh-based network-on-chip (NoC) provides flexible and scalable architecture for chip multiprocessor (CMP) systems. However, as the complexity of network increases, routing problems become performance bottlenecks. In the field of wide area networks (WANs), ant colony optimization (ACO) has been applied to an adaptive routing for improving performance and achieving load balancing. […]
Read moreWe consider the problem of network coding across three unicast sessions over a directed acyclic graph, where the sender and receiver of each unicast session are both connected to the network via a single edge of unit capacity. We consider a network model in which the middle of the network can only perform random linear […]
Read moreBayesian network classifier (BNCs) are typically implemented on nowadays desktop computers. However, many real world applications require classifier implementation on embedded or low power systems. Aspects for this purpose have not been studied rigorously. We partly close this gap by analyzing reduced precision implementations of BNCs. In detail, we investigate the quantization of the parameters […]
Read more
No Comments
Hierarchical Risk Assessment of Transmission System Considering the Influence of Active Distribution Network
In traditional distribution system, power flow was unidirectional; thus loads were usually aggregated into the substation as an equivalent constant bus in the original risk analysis of transmission system. Detail structures of the distribution system were absolutely ignored. However, distribution system is transformed from passive to active nowadays with more and more distributed generations (DGs) […]
Read more
No Comments
Gene Regulation Network Modeling via Improved Multi-agent System and Dynamic Bayesian Network
Gene regulation network is playing a more and more important role in system biology, bioinformatics and pharmacology in the era of post-genomic. This paper presents a high efficient and accurate method to model gene regulation network. In the method, we first use an improved Multi-Agent System (Im-MAS) to fuse multiple data sources to generate an […]
Read moreAs a newly emerging network model, heterogeneous information networks (HINs) have received growing attention. Many data mining tasks have been explored in HINs, including clustering, classification, and similarity search. Similarity join is a fundamental operation required for many problems. It is attracting attention from various applications on network data, such as friend recommendation, link prediction, […]
Read more