An implicit GTS allocation mechanism in IEEE 802.15.4 for time-sensitive wireless sensor networks: theory and practice

Timeliness guarantee is an important feature of the recently standardized IEEE 802.15.4 protocol, turning it quite appealing for Wireless Sensor Network (WSN) applications under timing constraints. When operating in beacon-enabled mode, this protocol allows nodes with real-time requirements to allocate Guaranteed Time Slots (GTS) in the contention-free period. The protocol natively supports explicit GTS allocation, i.e. a node allocates a number of time slots in each superframe for exclusive use. The limitation of this explicit GTS allocation is that GTS resources may quickly disappear, since a maximum of seven GTSs can be allocated in each superframe, preventing other nodes to benefit from guaranteed service. Moreover, the GTS may be underutilized, resulting in wasted bandwidth. To overcome these limitations, this paper proposes i-GAME, an implicit GTS Allocation Mechanism in beacon-enabled IEEE 802.15.4 networks. The allocation is based on implicit GTS allocation requests, taking into account the traffic specifications and the delay requirements of the flows. The i-GAME approach enables the use of one GTS by multiple nodes, still guaranteeing that all their (delay, bandwidth) requirements are satisfied. For that purpose, we propose an admission control algorithm that enables to decide whether to accept a new GTS allocation request or not, based not only on the remaining time slots, but also on the traffic specifications of the flows, their delay requirements and the available bandwidth resources. We show that our approach improves the bandwidth utilization as compared to the native explicit allocation mechanism defined in the IEEE 802.15.4 standard. We also present some practical considerations for the implementation of i-GAME, ensuring backward compatibility with the IEEE 801.5.4 standard with only minor add-ons. Finally, an experimental evaluation on a real system that validates our theoretical analysis and demonstrates the implementation of i-GAME is also presented

Markets-as-networks theory: a review

This paper exposes the development of markets-as-networks theory from formal inception in the mid-1970s until 2010 state-of-the-art, en route presenting its historical roots. This largely European-based theory challenges the conventional, dichotomous view of the business world as including firms and markets, arguing for the existence of relational governance structures (the so-called ‘‘interfirm cooperation’’) in addition to hierarchical and transactional ones.

Bank networks and firm credit: an agent based model approach

Starting from the idea that economic systems fall into complexity theory, where its many agents interact with each other without a central control and that these interactions are able to change the future behavior of the agents and the entire system, similar to a chaotic system we increase the model of Russo et al. (2014) to carry out three experiments focusing on the interaction between Banks and Firms in an artificial economy. The first experiment is relative to Relationship Banking where, according to the literature, the interaction over time between Banks and Firms are able to produce mutual benefits, mainly due to reduction of the information asymmetry between them. The following experiment is related to information heterogeneity in the credit market, where the larger the bank, the higher their visibility in the credit market, increasing the number of consult for new loans. Finally, the third experiment is about the effects on the credit market of the heterogeneity of prices that Firms faces in the goods market.

A complex networks approach for data clustering

This work proposes a method for data clustering based on complex networks theory. A data set is represented as a network by considering different metrics to establish the connection between each pair of objects. The clusters are obtained by taking into account five community detection algorithms. The network-based clustering approach is applied in two real-world databases and two sets of artificially generated data. The obtained results suggest that the exponential of the Minkowski distance is the most suitable metric to quantify the similarities between pairs of objects. In addition, the community identification method based on the greedy optimization provides the best cluster solution. We compare the network-based clustering approach with some traditional clustering algorithms and verify that it provides the lowest classification error rate. (C) 2012 Elsevier B.V. All rights reserved.

Preprocessing and analyzing genetic data with complex networks: An application to Obstructive Nephropathy

Many diseases have a genetic origin, and a great effort is being made to detect the genes that are responsible for their insurgence. One of the most promising techniques is the analysis of genetic information through the use of complex networks theory. Yet, a practical problem of this approach is its computational cost, which scales as the square of the number of features included in the initial dataset. In this paper, we propose the use of an iterative feature selection strategy to identify reduced subsets of relevant features, and show an application to the analysis of congenital Obstructive Nephropathy. Results demonstrate that, besides achieving a drastic reduction of the computational cost, the topologies of the obtained networks still hold all the relevant information, and are thus able to fully characterize the severity of the disease.

Functional Brain Networks: beyond the small-world paradigm

This contribution reviews the current state of art comprising the application of Complex Networks Theory to the analysis of functional brain networks. We briefly overview the main advances in this field during the last decade and we explain how graph analysis has increased our knowledge about how the brain behaves when performing a specific task or how it fails when a certain pathology arises. We also show the limitations of this kind of analysis, which have been a source of confusion and misunderstanding when interpreting the results obtained. Finally, we discuss about a possible direction to follow in the next years.

Anomalous Consistency in Mild Cognitive Impairment: A Complex Networks Approach

Increased variability in performance has been associated with the emergence of several neurological and psychiatric pathologies. However, whether and how consistency of neuronal activity may also be indicative of an underlying pathology is still poorly understood. Here we propose a novel method for evaluating consistency from non-invasive brain recordings. We evaluate the consistency of the cortical activity recorded with magnetoencephalography in a group of subjects diagnosed with Mild Cognitive Impairment (MCI), a condition sometimes prodromal of dementia, during the execution of a memory task. We use metrics coming from nonlinear dynamics to evaluate the consistency of cortical regions. A representation known as parenclitic networks is constructed, where atypical features are endowed with a network structure, the topological properties of which can be studied at various scales. Pathological conditions correspond to strongly heterogeneous networks, whereas typical or normative conditions are characterized by sparsely connected networks with homogeneous nodes. The analysis of this kind of networks allows identifying the extent to which consistency is affected in the MCI group and the focal points where MCI is especially severe. To the best of our knowledge, these results represent the first attempt at evaluating the consistency of brain functional activity using complex networks theory.

Militancia en el movimiento ambientalista del sur de Bogotá: el caso de Casa Useme

Las redes sociales son una de tantas posibles explicaciones al por qué la gente se adhiere a los movimientos sociales y participa de sus luchas. Sin embargo, los acercamientos que se han hecho a la militancia desde las redes sociales tienden a ser rígidos, debido a que sólo diferencian entre los que militan y los que no militan, dejando fuera del espectro una gran cantidad de matices que existen entre las personas que pertenecen a un movimiento social determinado. Este estudio de caso trata de responder a este interrogante con el concepto de compromiso, el cual es un intento de matizar la militancia en un movimiento social desde la teoría de las redes sociales. Adicionalmente, esta investigación trata de acercarse al fenómeno poco conocido del ambientalismo al sur de Bogotá. El cual es un movimiento social joven, en pleno proceso de expansión, con muchos simpatizantes y militantes, pero poco conocido por la academia y por la gente que no habita este espacio.

Gestão compartilhada de P&D em petróleo:a interação entre a Petrobrás e a Universidade Federal do Rio Grande do Norte

This work addresses the relationship between University-Firm aims to understand the model of shared management of R&D in petroleum of Petrobras with UFRN. This is a case study which sought to investigate whether the model of cooperation established by the two institutions brings innovation to generate technical-scientific knowledge and contribute to the coordination with other actors in the promotion of technological innovation. In addition to desk research the necessary data for analysis were obtained by sending questionnaires to the coordinators of projects in R&D at the company and university. Also, interviews were conducted with subjects who participated in the study since its inception to the present day. This case study were analysed through the Resource-Based View and Interorganizational Networks theory. The sample data also stands that: searches were aligned to the strategic planning and that 29% of R&D projects have been successful on the scope of the proposed objectives (of which 11% were incorporated into business processes); which was produced technical and scientific knowledge caracterized by hundreds of national and international publications; thesis, dissertations, eleven patents, and radical and incremental innovations; the partnership has also brought benefits to the academic processes induced by the improved infrastructure UFRN and changing the "attitude" of the university (currently with national prominence in research and staff training for the oil sector). As for the model, the technical point of view, although it has some problems, it follows that it is appropriate. From the viewpoint of the management model is criticized for containing an excess of bureaucracy. From the standpoint of strategic allocation of resources from the legal framework needs to be reassessed, because it is focused only on the college level and it is understood that should also reach the high school given the new reality of the oil sector in Brazil. For this it is desirable to add the local government to this partnership. The set of information leads to the conclusion that the model is identified and named as a innovation of organizational arrangement here known as Shared Management of R&D in petroleum of Petrobras with UFRN. It is said that the shared management model it is possible to exist, which is a simple and effective way to manage partnerships between firms and Science and Technology Institutions. It was created by contingencies arising from regulatory stand points and resource dependence. The partnership is the result of a process of Convergence, Construction and Evaluation supported by the tripod Simplicity, Systematization and Continuity, important factors for its consolidation. In practice an organizational arrangement was built to manage innovative university-industry partnership that is defined by a dyadic relationship on two levels (institutional and technical, therefore governance is hybrid), by measuring the quarterly meetings of systematic and standardized financial contribution proportional to the advancement of research. These details have led to the establishment of a point of interaction between the scientific and technological-business dimension, demystifying they are two worlds apart

Contribution of individual to collective brands

Traditionally, literature estimates the equity of a brand or its extension but it pays little attention to collective brand equity even though collective branding is increasingly used to differentiate the homogenous products of different firms or organizations. We propose an approach that estimates the incremental effect of individual brands (or the contribution of individual brands) on collective brand equity through the various stages of a consumer hierarchical buying choice process in which decisions are nested: “whether to buy”, “what collective brand to buy” and “what individual brand to buy”. This proposal follows the approach of the Random Utility Theory, and it is theoretically argued through the Associative Networks Theory and the cybernetic model of decision making. The empirical analysis carried out in the area of collective brands in Spanish tourism finds a three-stage hierarchical sequence, and estimates the contribution of individual brands to the equity of the collective brands of “Sun, Sea and Sand” and of “World Heritage Cities”.

Gestão compartilhada de P&D em petróleo:a interação entre a Petrobrás e a Universidade Federal do Rio Grande do Norte

This work addresses the relationship between University-Firm aims to understand the model of shared management of R&D in petroleum of Petrobras with UFRN. This is a case study which sought to investigate whether the model of cooperation established by the two institutions brings innovation to generate technical-scientific knowledge and contribute to the coordination with other actors in the promotion of technological innovation. In addition to desk research the necessary data for analysis were obtained by sending questionnaires to the coordinators of projects in R&D at the company and university. Also, interviews were conducted with subjects who participated in the study since its inception to the present day. This case study were analysed through the Resource-Based View and Interorganizational Networks theory. The sample data also stands that: searches were aligned to the strategic planning and that 29% of R&D projects have been successful on the scope of the proposed objectives (of which 11% were incorporated into business processes); which was produced technical and scientific knowledge caracterized by hundreds of national and international publications; thesis, dissertations, eleven patents, and radical and incremental innovations; the partnership has also brought benefits to the academic processes induced by the improved infrastructure UFRN and changing the "attitude" of the university (currently with national prominence in research and staff training for the oil sector). As for the model, the technical point of view, although it has some problems, it follows that it is appropriate. From the viewpoint of the management model is criticized for containing an excess of bureaucracy. From the standpoint of strategic allocation of resources from the legal framework needs to be reassessed, because it is focused only on the college level and it is understood that should also reach the high school given the new reality of the oil sector in Brazil. For this it is desirable to add the local government to this partnership. The set of information leads to the conclusion that the model is identified and named as a innovation of organizational arrangement here known as Shared Management of R&D in petroleum of Petrobras with UFRN. It is said that the shared management model it is possible to exist, which is a simple and effective way to manage partnerships between firms and Science and Technology Institutions. It was created by contingencies arising from regulatory stand points and resource dependence. The partnership is the result of a process of Convergence, Construction and Evaluation supported by the tripod Simplicity, Systematization and Continuity, important factors for its consolidation. In practice an organizational arrangement was built to manage innovative university-industry partnership that is defined by a dyadic relationship on two levels (institutional and technical, therefore governance is hybrid), by measuring the quarterly meetings of systematic and standardized financial contribution proportional to the advancement of research. These details have led to the establishment of a point of interaction between the scientific and technological-business dimension, demystifying they are two worlds apart

General strain theory, situational anger, and social networks: An assessment of conditioning influences

Using a random sample of university students to test general strain theory (GST), this study expanded on previous tests of strain theory in two ways. First, situational anger was measured, a construct that had not been used thus far in assessments of general strain. In addition, this research examined the role of social support networks as a conditioning influence on the effects of strain and anger on intentions to commit three types of criminal behavior (serious assault, shoplifting, and driving under the influence of alcohol [DUI]). The results provided mixed support for GST. While the link between anger and crime was confirmed, the nature of that relationship in some cases ran counter to the theory. Moreover, the evidence indicated that the role of social support networks was complex, and varied as a conditioning influence on intentions to engage in criminal activities. (C) 2001 Elsevier Science Ltd. All rights reserved.