Search results

The purpose of this paper is to present the results of preliminary analysis and research on the potential relevance and applicability of autonomic computing principles and practices to problems unique to e‐government.

This paper examines the applicability of autonomic computing principles to four main e‐government problems thought to be potential candidates for autonomic computing practices. These problems include issues related to interoperability, blending technology and processes, and outdated business models and systems development methodologies.

This paper concludes that based upon current research and autonomic computing practices, solutions to interoperability could become realized through the application of autonomic computing practices within the public sector.

Additional research is required to determine how other e‐government problems could benefit from future research and innovative solutions potentially available from the examination of autonomic computing practices.

Problems associated with the successful implementation of e‐government are significant around the world; if autonomic computing, or some form of enabled technology could advance progress, this would be of value to the democratization of e‐government, and its associated social and economic implications.

The goal of this paper is to provide contributions aimed at illustrating how the autonomic computing concept may be applied within a multi‐path transport protocol called multi‐path TCP (MPTCP) with the aim of providing as high as possible a quality of service (QoS) for mobile and multimedia applications.

The paper's general vision is to define how to use the general IBM Autonomic framework for the design of a new and generic autonomous transport layer aimed at fitting as best as possible both QoS requirements and network constraints.

Several QoS‐aware mechanisms are proposed and evaluated and an ontology‐based semantic model for the dynamic discovery of MPTCP mechanisms is also presented. This work was done within the A2NETS project funded by the ITEA 2 program, a strategic pan‐European program for advanced pre‐competitive research and development (R&D). A2NETS aims at developing a set of common services for M2M devices communicating within heterogeneous networks.

The originality of this paper is the study of the QoS benefits induced by the implementation of the “partial reliability” concept in MPTCP for interactive video applications based on the codec H.264. The second contribution of the paper is that it deals with the decision process that has to be enforced to provide such an adaptable MPTCP with self‐autonomic capabilities. Towards this goal, a semantic ontology‐based model has been proposed allowing to classify and to define clearly the semantic of the different QoS‐oriented mechanisms that have been proposed for MPTCP. This ontology is aimed at being used by the autonomic manager during the decision process step.

This paper describes the design of a scalable bio‐mimetic framework that addresses several key issues of autonomous agents in the functional management domain of complex Ubiquitous Service‐Oriented Networks.We propose an autonomous network service management platform ‐ SwarmingNet, which is motivated by observations of the swarm intelligence in biological systems (e.g., Termite, Ant/Bees colonies, or Locusts ). In this SwarmingNet architecture, the required network service processes are implemented by a group of highly diverse and autonomic objects. These objects are called TeleService Solons (TSSs) as elements of TeleService Holons (TSHs), analoguous to individual insects as members of the whole colony. A single TSS is only able to pursue simple behaviors and interactions with local neighbors, on the contrary, a group of TSSs have the capabilities of fulfilling the complex tasks relating to service discovery and service activation.We simulate a service configuration process for a Multimedia Messaging Service, and a performance comparison between the bio‐agents and normal agents is analyzed. Finally, we conclude that through bio‐swarming intelligence behaviors, this infrastructure develops the enhanced self‐X capabilities which give IP networks advantages of instinctive compatibility, efficiency and scalability.

The authors propose the concept of “Autonomic Cycle for innovation processes,” which defines a set of tasks of data analysis, whose objective is to improve the innovation process in micro-, small and medium-sized enterprises (MSMEs).

The authors design autonomic cycles where each data analysis task interacts with each other and has different roles: some of them must observe the innovation process, others must analyze and interpret what happens in it, and finally, others make decisions in order to improve the innovation process.

In this article, the authors identify three innovation sub-processes which can be applied to autonomic cycles, which allow interoperating the actors of innovation processes (data, people, things and services). These autonomic cycles define an innovation problem, specify innovation requirements, and finally, evaluate the results of the innovation process, respectively. Finally, the authors instance/apply the autonomic cycle of data analysis tasks to determine the innovation problem in the textile industry.

It is necessary to implement all autonomous cycles of data analysis tasks (ACODATs) in a real scenario to verify their functionalities. Also, it is important to determine the most important knowledge models required in the ACODAT for the definition of the innovation problem. Once determined this, it is necessary to define the relevant everything mining techniques required for their implementations, such as service and process mining tasks.

ACODAT for the definition of the innovation problem is essential in a process innovation because it allows the organization to identify opportunities for improvement.

The main contributions of this work are: For an innovation process is specified its ACODATs in order to manage it. A multidimensional data model for the management of an innovation process is defined, which stores the required information of the organization and of the context. The ACODAT for the definition of the innovation problem is detailed and instanced in the textile industry. The Artificial Intelligence (AI) techniques required for the ACODAT for the innovation problem definition are specified, in order to obtain the knowledge models (prediction and diagnosis) for the management of the innovation process for MSMEs of the textile industry.

As Pervasive Computing environments become more richly populated with sensors and computing power it may be possible for the environment to observe and interpret user actions and pre‐emptively provide accurate support for those actions. This requires accurate inference of user intent. Though individual user acts may be inferable from environmental context sensing, the inference of intent for which appropriate support might be offered is more challenging. Numerous researchers have used probabilistic techniques such as Bayesian Analysis techniques to attempt such inference. Unlike a desktop environment, however, pervasive computing environments are extremely heterogeneous, so any heuristics used must be tailored to the physical environment and the users in question. Thus these techniques are only likely to be accurate if configured with accurate knowledge of routine user behavior. Many existing approaches attempt to learn such knowledge from operational data, but this often requires user involvement in training and expert configuration of probabilistic processing structure. In this paper we examine a complimentary approach where users are presented with an intuitive interface to support the direct configuration of probabilistic structure by users with appropriate knowledge. By treating an intent inference system for a particular pervasive computng environment as an autonomic system, we approach the problem as the design of an intuitive governance interface for this system. We then present the design and usability evaluation of this governance interface.

The Reflective Middleware for Acoustic Management (ReM-AM), based on the Middleware for Cloud Learning Environments (AmICL), aims to improve the interaction between users and agents in a Smart Environment (SE) using acoustic services, in order to consider the unpredictable situations due to the sounds and vibrations. The middleware allows observing, analyzing, modifying and interacting in every state of a SE from the acoustics. This work details an extension of the ReM-AM using the ontology-driven architecture (ODA) paradigm for acoustic management.

This work details an extension of the ReM-AM using the ontology-driven architecture (ODA) paradigm for acoustic management. In this paper are defined the different domains of knowledge required for the management of the sounds in SEs, which are modeled using ontologies.

This work proposes an acoustics and sound ontology, a service-oriented architecture (SOA) ontology, and a data analytics and autonomic computing ontology, which work together. Finally, the paper presents three case studies in the context of smart workplace (SWP), ambient-assisted living (AAL) and Smart Cities (SC).

Future works will be based on the development of algorithms for classification and analysis of sound events, to help with emotion recognition not only from speech but also from random and separate sound events. Also, other works will be about the definition of the implementation requirements, and the definition of the real context modeling requirements to develop a real prototype.

In the case studies is possible to observe the flexibility that the ReM-AM middleware based on the ODA paradigm has by being aware of different contexts and acquire information of each, using this information to adapt itself to the environment and improve it using the autonomic cycles. To achieve this, the middleware integrates the classes and relations in its ontologies naturally in the autonomic cycles.

The main contribution of this work is the description of the ontologies required for future works about acoustic management in SE, considering that what has been studied by other works is the utilization of ontologies for sound event recognition but not have been expanded like knowledge source in an SE middleware. Specifically, this paper presents the theoretical framework of this work composed of the AmICL middleware, ReM-AM middleware and the ODA paradigm.

After a vigorous debate in the late 1970s, the sociology of emotion put aside most discussion of whether or not the physiological arousal associated with emotion labels is differentiated. Since this early period, scholars have made great progress on two fronts. First, theories about the interrelationship of identity, action and emotion have specified a family of new concepts related to emotion. Second, a large corpus of research on the physiological correlates of emotional experience emerged. In this chapter, we review the well-developed control theories of identity and emotion, and focus on the key concepts that might relate to different physiological states. We then review the general classes of physiological measures, discussing their reliability, intrusiveness and other features that might determine their usefulness for tracking responses to social interaction. We then offer a highly provisional mapping of physiological measures onto the concepts that they might potentially measure, given past research about how these physiological processes relate to environmental stimuli. While any linkage between concepts and measures must be speculative at this point, we hope that this review will serve as a stimulus to theoretically guided research that begins to assess the validity of these new measures for sociological use.

The purpose of this paper is to explore whether challenging experiences on development programmes would simulate leadership challenges and therefore stimulate the body’s autonomic nervous system response. The authors also aimed to determine whether increase in autonomic arousal would be related to learning, and/or moderated by personality variables.

The research used heart rate (HR) monitors to measure HR continuously over a two-day simulated learning experience. This was used to calculate autonomic arousal which was taken to be the difference between resting HR measured during sleep and HR during critical incidents (CIs) (HR). The authors correlated this with self-reports of learning immediately after, and one month after, the programme to assess the impact of autonomic arousal on perceived learning, as well as with variety of psychometric measures.

The research found significant correlations between (HR) during CIs and perceived learning which were not related to personality type. The research also found a significant correlation between (HR) and learning during a control event for individuals with “approach” personalities.

Whilst a significant result was found, the sample size of 28 was small. The research also did not empirically assess the valence or intensity of the emotions experienced, and used only a self-report measure of learning. Future research should replicate the findings with a larger sample size, attempt to measure these emotional dimensions, as well as obtain perceptions of learning from direct reports and line managers.

The findings from the research help clarify the mechanisms involved in the effectiveness of experiential learning, and contribute to the understanding of the influence of personality type on perceived learning from experiential methodologies. Such understanding has implications for business schools and learning and development professionals, suggesting that development experiences that challenge leaders are likely to result in learning that is longer lasting.

The research extends the literature regarding the value of learning through experience, the role of autonomic arousal on learning, and the impact of negative emotions on cognition. The research makes a unique contribution by exploring the impact of experience on arousal and learning in a simulated learning experience and over time, by demonstrating that simulated experiences induce emotional and physiological responses, and that these experiences are associated with increased learning.

Although first rank symptoms focus on positive symptoms of psychosis they are shared by a number of psychiatric conditions. The difficulty in differentiating bipolar disorder from schizophrenia with affective features has led to a third category of patients often loosely labeled as schizoaffective. Research in schizophrenia has attempted to render the presence or absence of negative symptoms and their relation to etiology and prognosis more explicit. A dichotomous population is a recurring theme in experimental paradigms. Thus, schizophrenia is defined as process or reactive, deficit or non-deficit and by the presence or absence of affective symptoms. Laboratory tests confirm the clinical impression showing conflicting responses to dexamethasone suppression and clearly defined differences in autonomic responsiveness, but their patho-physiological significance eludes mainstream theory. Added to this is the difficulty in agreeing to what exactly constitutes useful clinical features differentiating, for example, negative symptoms of a true deficit syndrome from features of depression. Two recent papers proposed that the general and specific cognitive features of schizophrenia and major depression result from a monoamine-cholinergic imbalance, the former due to a relative muscarinic receptor hypofunction and the latter, in contrast, to a muscarinic hypersensitivity exacerbated by monoamine depletion. Further development of these ideas will provide pharmacological principles for what is currently an incomplete and largely, descriptive nosology of psychosis. It will propose a dimensional view of affective and negative symptoms based on relative muscarinic integrity and is supported by several exciting intracellular signaling and gene expression studies. Bipolar disorder manifests both muscarinic and dopaminergic hypersensitivity. The greater the imbalance between these two receptor signaling systems, the more the clinical picture will resemble schizophrenia with bizarre, incongruent delusions and increasingly disorganized thought. The capacity for affective expression, by definition a non-deficit syndrome, will remain contingent on the degree of preservation of muscarinic signaling, which itself may be unstable and vary between trait and state examinations. At the extreme end of muscarinic impairment, a deficit schizophrenia subpopulation is proposed with a primary and fixed muscarinic receptor hypofunction.

The genomic profile of bipolar disorder and schizophrenia overlap and both have a common dopaminergic intracellular signaling which is hypersensitive to various stressors. It is proposed that the concomitant muscarinic receptor upregulation differentiates the syndromes, being marked in bipolar disorder and rather less so in schizophrenia. From a behavioral point of view non-deficit syndromes and bipolar disorder appear most proximate and could be reclassified as a spectrum of affective psychosis or schizoaffective disorders. Because of a profound malfunction of the muscarinic receptor, the deficit subgroup cannot express a comparable stress response. None -theless, a convergent principle of psychotic features across psychiatric disorders is a relative monoaminergic-muscarinic imbalance in signal transduction.

The purpose of this article is to compare the consumer decision‐making behavior between married and cohabiting couples.

Data were collected from 40 cohabiting couples and 53 married couples in a western state via a self‐administered questionnaire. The structure and the instrument used replicated the Gadis et al. study in exploring consumer decision‐making processes of married couples.

Married couples tended to be more syncratic than cohabiting couples in their decision to purchase forms of savings in this phase, but more autonomic when purchasing alcoholic beverages. Cohabiting couples were found to be more syncratic in their decision making for these products at this phase than married couples. The results, when compared to those of 18 years ago found that men and women of married couples make purchasing decisions separately, while men and women of cohabiting couples made most of theirs together. Implications of the findings were then discussed.

Marketers, when attempting to reach married couples today, should focus media and advertising communication efforts on two audiences rather than one since either the husband or wife may be making the decision. The communication strategy used should focus on the joint nature of both processes since cohabiters showed a propensity toward syncratic strategies in all three phases. Advertising and message strategies should focus on how single people of the opposite sex decide on product purchases together since cohabiters are more like single people in their decision‐making behavior.

This study compares consumer decision making among married and cohabiting couples.