Is the ultraviolet waveband a special communication channel in avian mate choice?

There is growing evidence that ultraviolet (UV) wavelengths play an important role in avian mate choice. One of the first experiments to support this idea showed that female zebra finches (Taeniopygia guttata) prefer UV-reflecting males to males whose ultraviolet reflection has been removed. The effect was very strong despite little or no UV reflection from several plumage areas. However, it is not clear how the importance of the UV waveband compares to other regions of the bird-visible spectrum. We tested whether the response of female zebra finches to the removal of male UV reflection is greater than to the removal of other wavebands. We presented females with a choice of males whose appearance was manipulated using coloured filters. The filters removed single blocks of the avian visible spectrum corresponding closely to the spectral sensitivities of each of the zebra finch's single cone classes. This resulted in males that effectively had no UV (UV-), no short-wave (SW-), no medium-wave (MW-) or no long-wave (LW-) plumage reflection. Females preferred UV- and SW- males. LW- and MW- males were least preferred, suggesting that female zebra finches show the greatest response to the removal of longer wavelengths. Quantal catches of the single cone types viewing body areas of the male zebra finch are presented for each treatment. Our study suggests it is important to consider the role of the UV waveband in avian mate choice in conjunction with the rest of the avian visible spectrum.

Detecting and mitigating HX-DoS attacks against cloud web services

Cyber-Physical Systems allow for the interaction of the cyber world and physical worlds using as a central service called Cloud Web Services. Cloud Web Services can sit well within three models of Cyber- Physical Systems, Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a- Service (IaaS). With any Cyber-Physical system use Cloud Web Services it inherits a security problem, the HX-DoS attack. HX-DoS attack is a combination of HTTP and XML messages that are intentionally sent to flood and destroy the communication channel of the cloud service provider. The relevance of this research is that TCP/IP flood attacks are a common problem and a lot of research to mitigate them has previously been discussed. But HTTP denial of service and XML denial of service problem has only been addressed in a few papers. In this paper, we get closer to closing this gap on this problem with our new defence system called Pre- Decision, Advance Decision, Learning System (ENDER). In our previous experiments using our Cloud Protector, we were successful at detecting and mitigate 91% with a 9% false positive of HX-DoS attack traffic. In this paper, ENDER was able to improve upon this result by being trained and tested on the same data, but with a greater result of 99% detection and 1% false positive.

A low overhead scaled equalized harmonic-based voice authentication system

With the increasing trends of mobile interactions, voice authentication applications are in a higher demand, giving rise to new rounds of research activities. Authentication is an important security mechanism that requires the intended communication parties to present valid credentials to the communication network. In a stronger sense, all the involved parties are required to be authenticated to one another (mutual authentication). In the voice authentication technique described in this paper, the voice characteristics of an intended individual wishing to take part in a communication channel will be classified and processed. This involves a low overhead voice authentication scheme, which features equalization and scaling of the voice frequency harmonics. The performance of this system is discussed in a Labview 8.5 visual development environment, following a complete security analysis. © 2013 Elsevier Ltd. All rights reserved.

Agent-based smart grid protection and security

The vision of a smart grid is to provide a modern, resilient, and secure electric power grid as it boasts up with a highly reliable and efficient environment through effective use of its information and communication technology (ICT). Generally, the control and operation of a smart grid which integrate the distributed energy resources (DERs) such as, wind power, solar power, energy storage, etc., largely depends on a complex network of computers, softwares, and communication infrastructure superimposed on its physical grid architecture facilitated with the deployment of intelligent decision support system applications. In recent years, multi-agent system (MAS) has been well investigated for wide area power system applications and specially gained a significant attention in smart grid protection and security due to its distributed characteristics. In this chapter, a MAS framework for smart grid protection relay coordination is proposed, which consists of a number of intelligent autonomous agents each of which are embedded with the protection relays. Each agent has its own thread of control that provides it with a capability to operate the circuit breakers (CBs) using the critical clearing time (CCT) information as well as communicate with each other through high speed communication network. Besides physical failure, since smart grid highly depends on communication infrastructure, it is vulnerable to several cyber threats on its information and communication channel. An attacker who has knowledge about a certain smart grid communication framework can easily compromise its appliances and components by corrupting the information which may destabilize a system results a widespread blackout. To mitigate such risk of cyber attacks, a few innovative counter measuring techniques are discussed in this chapter.

Communicating to culture audiences

Purpose – The purpose of this paper is to provide novel insights into arts consumption behaviour and patterns of communication displayed by arts consumers using Peterson’s theoretical framework, and to identify differences in the use of communication channels across arts segments.

Design/methodology/approach – The authors conducted an a priori market segmentation study, with two variables serving as segmentation criteria, namely, the frequency of and the variety of arts events attended. The authors tested for differences in communication patterns.

Findings – Four segments were created: low-frequency univores, low-frequency multivores, high-frequency multivores and high-frequency omnivores. They differ in their communication patterns and online behaviours, including their online activities before and after attending arts events. Printed materials and e-mail newsletters were the most effective communication channel for raising awareness of all arts consumers.

Research limitations/implications – Understanding these communication patterns can help arts marketers to increase the attendance of low-frequency segments and broaden the variety of arts events attended by the univore and multivore segments. The generalisability of the findings is limited as the survey was conducted among online Australian arts consumers only.

Originality/value – The paper adds the dimension of arts consumption frequency to the taxonomy of omnivores and univores proposed by Peterson, which is based on the variety of consumed arts only. The paper contributes to communication and arts marketing literature by identifying key differences in communication patterns across segments of arts consumers and the most promising communication channels to engage them.

Maintaining optimal co-channel interference for power efficient wireless communication

Maintaining QoS (quality of service) guaranteed communication links, and improving the energy consumption; are two aspects that received a significant consideration in the modern wireless sensor network research. This paper formulates a transmission power control problem which satisfies both considerations mentioned above. Moreover, a class of functions for an iterative controller was introduced and analyzed for its convergence. The experimental evaluation of the controller justifies the theoretical assertions as well as the applicability of the control scheme in wireless nodes with minimum measurement capabilities.

Channel estimation scheme for 3.9G wireless communication systems using RLS algorithm

Main challenges for a terminal implementation are efficient realization of the receiver, especially for channel estimation (CE) and equalization. In this paper, training based recursive least square (RLS) channel estimator technique is presented for a long term evolution (LTE) single carrier-frequency division multiple access (SC-FDMA) wireless communication system. This CE scheme uses adaptive RLS estimator which is able to update parameters of the estimator continuously, so that knowledge of channel and noise statistics are not required. Simulation results show that the RLS CE scheme with 500 Hz Doppler frequency has 3 dB better performances compared with 1.5 kHz Doppler frequency.

Socio-technical factors influencing channel use for knowledge-sharing in regional SME networks

The economic sustainability of regional areas is dependent on cross-industry innovation and knowledge-sharing among Small and Medium Enterprises (SMEs). The web-based initiatives deployed in regions worldwide to facilitate SME knowledge-sharing have typically been unsuccessful. This paper argues that the main reason for these failures is the lack of understanding of the socio-technical factors which influence the use of web-based channels (websites, online forums and expertise databases) as well as the more conventional channels (face-to-face and e-mail). This paper reports the findings of interpretive case studies of two regional SME business networks. It evaluates the major channels on six socio-technical criteria: link strength; trustworthiness; tacitness; usability; durability and currency. None of the channels were strong against all socio-technical factors. This highlights the importance of achieving an appropriate mix of channels to facilitate SME knowledge-sharing.

CM-based blind equalization of time-varying SIMO-FIR channel with single pulsation estimation

It is known that the constant modulus (CM) property of the source signal can be exploited to blindly equalize time-invariant single-inputmultiple-output (SIMO) and finite-impulse-response (FIR) channels. However, the time-invariance assumption about the channel cannot be satisfied in several practical applications, e.g., mobile communication. In this paper, we show that, under some mild conditions, the CM criterion can be extended to the blind equalization of a time-varying channel that is described by the complex exponential basis expansion model (CE-BEM). Although several existing blind equalization methods that are based on the CE-BEM have to employ higher order statistics to estimate all nonzero channel pulsations, the CM-based method only needs to estimate one pulsation using second-order statistics, which yields better estimation results. It also relaxes the restriction on the source signal and is applicable to some classes of signals with which the existing methods cannot deal.

Self-service technology complaint channel choice : exploring consumers' motives

Purpose – This study aims to explore consumers' motives for their choice of complaint channel in the context of self-service technology (SST) failure. Traditional and evolving communication channels are considered.

Design/methodology/approach – Qualitative self-report data from consumers who had recently experienced dissatisfaction with SSTs were collected via an open-ended survey question. Three independent coders used a deductive and inductive iterative process to code the data.

Findings – The findings suggest that both consumer complaint behaviour (CCB) theory and media richness theory (MRT) help to explain consumers' motivation for channel choice. However, consumers' choice appears to be motivated to a greater degree by convenience rather than task-medium fit.

Research limitations/implications – This study was set solely in the SST context and explored consumers' hypothetical complaint channel choice, not actual channel use. Future research could examine the actual performance of complaint channels as perceived by consumers. Consumers' motivation to choose other emerging electronic complaint channels, such as complaint blogs and forums, could also be explored.

Practical implications – Understanding consumers' complaint channel choice is important for organisations to enable them to provide effective and efficient ways for consumers to complain. As complaint channels proliferate, it is difficult for organisations to know which channels to offer.

Originality/value – Choosing an appropriate channel for resolving a complaint is an important consumer decision, which the study of CCB needs to be broadened to include. The current study addresses this gap by, for the first time, integrating CCB theory and MRT. This is valuable because it is common for consumers not to voice their complaints to organisations. To facilitate voiced complaints, organisations need to determine which complaint channels will be most effective and efficient and in which situations.

Antenna selection and channel estimation for hybrid relay systems

The research addressed performance issues for wireless signal transmission and has shown that performance improves with the help of relays due to increased diversity. Further, the areas of antenna selection and channel estimation and modelling has been investigated for improved cost and complexity and has shown to further enhance the performance of the wireless relay systems.

Channel estimation of dual-hop MIMO relay system via parallel factor analysis

The optimal source precoding matrix and relay amplifying matrix have been developed in recent works on multiple-input multiple-output (MIMO) relay communication systems assuming that the instantaneous channel state information (CSI) is available. However, in practical relay communication systems, the instantaneous CSI is unknown, and therefore, has to be estimated at the destination node. In this paper, we develop a novel channel estimation algorithm for two-hop MIMO relay systems using the parallel factor (PARAFAC) analysis. The proposed algorithm provides the destination node with full knowledge of all channel matrices involved in the communication. Compared with existing approaches, the proposed algorithm requires less number of training data blocks, yields smaller channel estimation error, and is applicable for both one-way and two-way MIMO relay systems with single or multiple relay nodes. Numerical examples demonstrate the effectiveness of the PARAFAC-based channel estimation algorithm.

Superimposed channel training for two-way MIMO relay systems

Two-way relaying systems are known to be capable of providing higher spectral efficiency compared with one-way relaying systems. However, the channel estimation problem for two-way relaying systems becomes more complicated. In this paper, we propose a superimposed channel training scheme for two-way MIMO relay communication systems, where the individual channel information for users-relay and relay-users links are estimated. The optimal structure of the source and relay training sequences are derived when the mean-squared error (MSE) of channel estimation is minimized. We also optimize the power allocation between the source and relay training sequences to improve the performance of the algorithm. Numerical examples are shown to demonstrate the performance of the proposed channel training algorithm.

Channel estimation for frequency-selective two-way MIMO relay systems

In this paper, we investigate the channel estimation problem for two-way multiple-input multiple-output (MIMO) relay communication systems in frequency-selective fading environments. We propose a superimposed channel training algorithm to estimate the individual channel state information (CSI) of the first-hop and second-hop links for two-way MIMO relay systems with frequency-selective fading channels. In this algorithm, a relay training sequence is superimposed on the received signals at the relay node to assist the estimation of the second-hop channel matrices. The optimal structure of the source and relay training sequences is derived to minimize the meansquared error (MSE) of channel estimation. We also derive the optimal power allocation between the source and relay training sequences. Numerical examples are shown to demonstrate the performance of the proposed algorithm.