ACARS:adaptive context - aware rate selection for DSRC in vehicular networks

Throughput plays a vital role for data transfer in Vehicular Networks which is useful for both safety and non-safety applications. An algorithm that adapts to mobile environment by using Context information has been proposed in this paper. Since one of the problems of existing rate adaptation algorithm is underutilization of link capacity in Vehicular environments, we have demonstrated that in wireless and mobile environments, vehicles can adapt to high mobility link condition and still perform better due to regular vehicles that will be out of communication range due to range checking and then de-congest the network thereby making the system perform better since fewer vehicles will contend for network resources. In this paper, we have design, implement and analyze ACARS, a more robust algorithm with significant increase in throughput performance and energy efficiency in the mist of high mobility of vehicles.

Performance evaluation of adaptive context aware rate selection algorithm (ACARS) for road safety applications in vehicular network

One of the major drawbacks for mobile nodes in wireless networks is power management. Our goal is to evaluate the performance power control scheme to be used to reduce network congestion, improve quality of service and collision avoidance in vehicular network and road safety application. Some of the importance of power control (PC) are improving spatial reuse, and increasing network capacity in mobile wireless communications. In this simulation we have evaluated the performance of existing rate algorithms compared with context Aware Rate selection algorithm (ACARS) and also seen the performance of ACARS and how it can be applied to road safety, improve network control and power management. Result shows that ACARS is able to minimize the total transmit power in the presence of propagation processes and mobility of vehicles, by adapting to the fast varying channels conditions with the Path loss exponent values that was used for that environment which is shown in the network simulation parameter. Our results have shown that ACARS is a very robust algorithm which performs very well with the effect of propagation processes that is prone to every transmitted signal in mobile networks. © 2013 IEEE.

Convergence-divergence of HRM in the Asia-Pacific:context-specific analysis and future research agenda

In this article, we highlight the significance and need for conducting context-specific human resource management (HRM) research, by focusing on four critical themes. First, we discuss the need to analyze the convergence-divergence debate on HRM in Asia-Pacific. Next, we present an integrated framework, which would be very useful for conducting cross-national HRM research designed to focus on the key determinants of the dominant national HRM systems in the region. Following this, we discuss the critical challenges facing the HRM function in Asia-Pacific. Finally, we present an agenda for future research by presenting a series of research themes.

Leader-member exchange in a Chinese context:antecedents, outcomes and mediating role of psychological empowerment

This study examines organizational antecedents of LMX and the mediating influence of empowerment on the relationships between LMX and the work outcomes of job satisfaction, task performance and psychological withdrawal behavior. Data were obtained from employees of a listed Chinese company in Guangdong Province, People's Republic of China. The results revealed that: (a) supervisor control of rewards and work unit climate were related to LMX and (b) empowerment fully mediated the relationship between LMX and the work outcomes as hypothesized.

Regional benchmarking in a global context:knowledge, competitiveness, and economic development

Benchmarking exercises have become increasingly popular within the sphere of regional policy making. However, most exercises are restricted to comparing regions within a particular continental bloc or nation.This article introduces the World Knowledge Competitiveness Index (WKCI), which is one of the very few benchmarking exercises established to compare regions across continents.The article discusses the formulation of the WKCI and analyzes the results of the most recent editions.The results suggest that there are significant variations in the knowledge-based regional economic development models at work across the globe. Further analysis also indicates that Silicon Valley, as the highest ranked WKCI region, holds a unique economic position among the globe’s leading regions. However, significant changes in the sources of regional competitiveness are evolving as a result of the emergence of new regional hot spots in Asia. It is concluded that benchmarking is imperative to the learning process of regional policy making.

Queer enough? Contested terrains of identity deployment in the context of gay and lesbian public activism in Poland

Gay and lesbian prides and marches are of crucial relevance to the way in which non-heterosexual lives are imagined internationally despite regional and national differences. Quite often, these events are connected not only with increased activist mobilisation, but also with great controversy, which is the case of Poland, where gay and lesbian marches have been attacked by right-wing protesters and cancelled by right-wing city authorities on a number of occasions. Overall, the scholars analysing these events have largely focused on the macro-context of the marches, paying less attention to the movement actors behind these events. The contribution of this thesis lies not only in filling a gap when it comes to research on sexual minorities in Eastern Europe/Poland, but also in its focus on micro-level movement processes and engagement with theories of collective identity and citizenship. Furthermore, this thesis challenges the inscription of Eastern European/Polish movements into the narrative of victimhood and delayed development when compared to LGBT movements in the Global North. This thesis is grounded in qualitative research including participant observation of public activist events as well as forty semi-structured interviews with the key organisers of gay and lesbian marches in Warsaw, Poznan and Krakow between 2001 and 2007, and five of these interviews were further accompanied by photo-elicitation (self-directed photography) methods. Starting from the processes whereby from 2001 onwards, marches, pride parades and demonstrations became the most visible and contested activity of the Polish lesbian and gay movement, this thesis examines how the activists redefined the meanings of citizenship in the post-transformation context, by incorporating the theme of sexual minorities' rights. Using Bernstein's (1997, 2002, 2005, 2008) concept of identity deployment, I show how and when movement actors use identity tactically, depending on their goals. Specifically, in the context of movement-media interactions, I examine the ways in which the activists use marches to challenge the negative representations of sexual minorities in Poland. I also broaden Bernstein's framework to include the discussion of emotion work as relevant to public LGBT activism in Poland. Later, I discuss how the emotions of protests allowed the activists to inscribe their efforts into the "revolutionary" narrative of the Polish Solidarity movement and by extension, the frame of citizenship. Finally, this thesis engages with the dilemmas of identity deployment strategies, and seeks to problematise the dichotomy between identity-based gay and lesbian assimilationist strategies and the anti-identity queer politics.

The impact of the language barrier on the management of multinational companies : a case study and survey, based exploration of the impact of the language barrier on the strategies, policies and systems by which multinational companies manage their subsidaries

The thesis begins with a conceptual model of the way that language diversity affects the strategies, organisation and subsidiary control policies of multinational companies. The model is based solely on the researcher'’ personal experience of working in a variety of international management roles, but in Chapter 2 a wide-ranging review of related academic literature finds evidence to support the key ideas. The model is developed as a series of propositions which are tested in a comparative case study, refined and then re-tested in a global survey of multinational subsidiaries. The principal findings of the empirical phases of the thesis endorse the main tenets of the model: - That language difference between parent and subsidiary will impair communication, create mistrust and impede relationship development. - That subsequently the feelings of uncertainty, suspicion and mistrust will influence the decisions taken by the parent company. - They will have heightened sensitivity to language issues and will implement policies to manage language differences. - They will adopt low-risk strategies in host countries where they are concerned about language difference. - They will use organisational and manpower strategies to minimise the consequences and risks of the communications problems with the subsidiary. - As a consequence the level of integration and knowledge flow between parent and subsidiary will be curtailed. - They will adopt styles of control that depend least on their ability to communicate with their subsidiary. Although there is adequate support for all of the above conclusions, on some key points the evidence of the Case Studies and Survey is contradictory. The thesis, therefore, closes with an agenda for further research that would address these inconsistencies.

Developments in technologies for human-centric mobile computing and applications

With recent expansions in technology, mobile computing continues to play a vital role in all aspects of our lives. Digital technology tools such as Web browsing, media tracking, social media, and emailing have made mobile technology more than just a means of communication but has widespread use in business and social networks. Developments in Technologies for Human-Centric Mobile Computing and Applications is a comprehensive collection of knowledge and practice in the development of technologies in human –centric mobile technology. This book focuses on the developmental aspects of mobile technology; bringing together researchers, educators, and practitioners to encourage readers to think outside of the box.

Formal methods @ runtime

Heuristics, simulation, artificial intelligence techniques and combinations thereof have all been employed in the attempt to make computer systems adaptive, context-aware, reconfigurable and self-managing. This paper complements such efforts by exploring the possibility to achieve runtime adaptiveness using mathematically-based techniques from the area of formal methods. It is argued that formal methods @ runtime represents a feasible approach, and promising preliminary results are summarised to support this viewpoint. The survey of existing approaches to employing formal methods at runtime is accompanied by a discussion of their challenges and of the future research required to overcome them. © 2011 Springer-Verlag.

Using knowledge management to give context to analytics and big data and reduce strategic risk

At the moment, the phrases “big data” and “analytics” are often being used as if they were magic incantations that will solve all an organization’s problems at a stroke. The reality is that data on its own, even with the application of analytics, will not solve any problems. The resources that analytics and big data can consume represent a significant strategic risk if applied ineffectively. Any analysis of data needs to be guided, and to lead to action. So while analytics may lead to knowledge and intelligence (in the military sense of that term), it also needs the input of knowledge and intelligence (in the human sense of that term). And somebody then has to do something new or different as a result of the new insights, or it won’t have been done to any purpose. Using an analytics example concerning accounts payable in the public sector in Canada, this paper reviews thinking from the domains of analytics, risk management and knowledge management, to show some of the pitfalls, and to present a holistic picture of how knowledge management might help tackle the challenges of big data and analytics.

A survey of self-awareness and its application in computing systems

Novel computing systems are increasingly being composed of large numbers of heterogeneous components, each with potentially different goals or local perspectives, and connected in networks which change over time. Management of such systems quickly becomes infeasible for humans. As such, future computing systems should be able to achieve advanced levels of autonomous behaviour. In this context, the system's ability to be self-aware and be able to self-express becomes important. This paper surveys definitions and current understanding of self-awareness and self-expression in biology and cognitive science. Subsequently, previous efforts to apply these concepts to computing systems are described. This has enabled the development of novel working definitions for self-awareness and self-expression within the context of computing systems.

EPiCS:engineering proprioception in computing systems

Modern compute systems continue to evolve towards increasingly complex, heterogeneous and distributed architectures. At the same time, functionality and performance are no longer the only aspects when developing applications for such systems, and additional concerns such as flexibility, power efficiency, resource usage, reliability and cost are becoming increasingly important. This does not only raise the question of how to efficiently develop applications for such systems, but also how to cope with dynamic changes in the application behaviour or the system environment. The EPiCS Project aims to address these aspects through exploring self-awareness and self-expression. Self-awareness allows systems and applications to gather and maintain information about their current state and environment, and reason about their behaviour. Self-expression enables systems to adapt their behaviour autonomously to changing conditions. Innovations in EPiCS are based on systematic integration of research in concepts and foundations, customisable hardware/software platforms and operating systems, and self-aware networking and middleware infrastructure. The developed technologies are validated in three application domains: computational finance, distributed smart cameras and interactive mobile media systems. © 2012 IEEE.

Mobile bluetooth-based multi-player game development in ubiquitous computing

This paper describes the use of Bluetooth and Java-Based technologies in developing a multi-player mobile game in ubiquitous computing, which strongly depends on automatic contextual reconfiguration and context-triggered actions. Our investigation focuses on an extended form of ubiquitous computing which game software developers utilize to develop games for players. We have developed an experimental ubiquitous computing application that provides context-aware services to game server and game players in a mobile distributed computing system. Obviously, contextual services provide useful information in a context-aware system. However, designing a context-aware game is still a daunting task and much theoretical and practical research remains to be done to reach the ubiquitous computing era. In this paper, we present the overall architecture and discuss, in detail, the implementation steps taken to create a Bluetooth and Java based context-aware game. We develop a multi-player game server and prepare the client and server codes in ubiquitous computing, providing adaptive routines to handle connection information requests, logging and context formatting and delivery for automatic contextual reconfiguration and context-triggered actions. © 2010 Binary Information Press.

Robust control of nonlinear stochastic systems by modelling conditional distributions of control signals

We introduce a novel inversion-based neuro-controller for solving control problems involving uncertain nonlinear systems that could also compensate for multi-valued systems. The approach uses recent developments in neural networks, especially in the context of modelling statistical distributions, which are applied to forward and inverse plant models. Provided that certain conditions are met, an estimate of the intrinsic uncertainty for the outputs of neural networks can be obtained using the statistical properties of networks. More generally, multicomponent distributions can be modelled by the mixture density network. In this work a novel robust inverse control approach is obtained based on importance sampling from these distributions. This importance sampling provides a structured and principled approach to constrain the complexity of the search space for the ideal control law. The performance of the new algorithm is illustrated through simulations with example systems.