129 resultados para Neighborhood networking


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 This article presents SOR, a vehicular social network to enable social communications and interactions among users on the road during their highway travels. Motivated by the limited connection to Internet contents and services, the essential goal of SOR is to encourage distributed users on the road to spontaneously contribute as the information producer, assembler, and distributer in order to provide timely and localized infotainments to each other through low-cost inter-vehicle communications. To be specific, SOR enables individual users to maintain a personal blog, similar to one on Facebook and Twitter, over which users can create and share personal content information to the public such as travel blogs with pictures and videos. By accessing each other's SOR blogs and commenting on interesting topics, passengers can exchange messages and initiate social interactions. In the specific highway environment, SOR addresses two challenges in the context of vehicular social communications. First, vehicular social communications tend to be frequently interrupted by diverse vehicle mobility and intermittent intervehicle connections, which is annoying to users. To address this issue, SOR adopts a proactive mechanism by estimating the connection time between peer vehicles, and recommending vehicles with relatively long-lasting and stable intervehicle connections for social communications. Second, as users on the road are typically strangers to each other, they are reluctant to disclose personal information to others. This makes it challenging to identify users of shared interests and accordingly restricts the scale of users' social interactions. To remedy that, SOR provides a secured solution to protect sensitive user information during social communications. Lastly, we use simulations to verify the performance of SOR. © 2015 IEEE.

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Young people with first episode psychosis are at an increased risk for a range of poor health outcomes. In contrast to the growing body of evidence that suggests that exercise therapy may benefit the physical and mental health of people diagnosed with schizophrenia, there are no studies to date that have sought to extend the use of exercise therapy among patients with first episode psychosis. The aim of the study is to test the feasibility and acceptability of an exercise program that will be delivered via internet enabled mobile devices and social networking technologies among young people with first episode psychosis.

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To examine the extent to which characteristics of the neighborhood built environment explain the association between adiposity and educational qualifications in Australian women.

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Relationships between the neighborhood environment and children's physical activity have been well documented in Western countries but are less investigated in ultra-dense Asian cities. The aim of this study was to identify the environmental facilitators and barriers of physical activity behaviors among Hong Kong Chinese children using nominal group technique.

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Any organisation that captures personal data in Canada for processing is deemed tohave a ‘real and substantial connection’ to Canada and thus fall within thejurisdiction of the Personal Information Protection and Electronic Documents Act(PIPEDA) and of the Office of the Privacy Commissioner of Canada (OPC). Whathas been the experience of enforcing Canadian privacy protection law on US-basedsocial networking services? We analyse some of the high-profile enforcement actionsby the Privacy Commissioner. We also test compliance through an analysis of theprivacy policies of the top 23 SNSs operating in Canada and through the use of accessto personal information requests. Our analysis suggests that non-compliance iswidespread, and is explained by the countervailing conceptions of jurisdictioninherent in corporate policy and technical system design.

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In today’s changing economy, moving rapidly beyond industrial and information priorities, the creative arts, industries and enterprises have a powerful capacity for transforming a society’s cultural and economic capabilities and growth. One of the greatest challenges for present and future workplace participants in the context of this rapid change is the need to adapt to changing roles within a capitalism which has moved beyond a focus on the production of commodities to a greater social and economic flexibility. Gee talks of the ‘new capitalism’ requiring ‘shape-shifting portfolio people’ , creative and entrepreneurial individuals who can take on multiple identities. The key to managing this change is to focus on building a capacity to design new identities, affinity groups and networks. The virtual villages project described in this paper is a creative response to building ‘shape-shifting’ skills, focusing on the power of narrative immersion through virtual world environments to explore issues for rural and regional communities. The project aims to assist local communities in geographically diverse regions to develop their capacities for designing new identities through participating in the creation of digital storylines and characters for problem-solving. This will also have the outcome of an expanded affinity group (the project participants and their digital audiences) and potentially global networks (the archipelago). The concept of virtual villages utilizes associational narrative techniques, exploring portals of virtual worlds, thresholds of community discovery and fragments of narrative as the framework. Developing associational narratives which explore and share creative problem solving across diverse virtual villages will provide both individuals and the community with the ‘shape-shifting’ capacity to situate themselves beyond current community networks and identities.

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Environmental changes are potentially effective population-level physical activity (PA) promotion strategies. However, robust multisite evidence to guide international action for developing activity-supportive environments is lacking. We estimated pooled associations of perceived environmental attributes with objectively measured PA outcomes, between-site differences in such associations, and the extent to which perceived environmental attributes explain between-site differences in PA.

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Environmental initiatives to support walking are keys to non-communicable disease prevention, but the relevant evidence comes mainly from cross-sectional studies. We examined neighborhood environmental attributes associated cross-sectionally with walking and those associated prospectively with walking maintenance.

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In this paper we analyze some of the practical realities around deleting personal data on social networks with respect to the Canadian regime of privacy protection. We first discuss the extent to which Canadian privacy law imposes access, deletion, and retention requirements on data brokers. After this discussion we turn to corporate organizational practices. Our analyses of social networking sites’ privacy policies reveal how poorly companies recognize the right to be have one’s personal information deleted in their existing privacy commitments and practices. Next, we turn to Law Enforcement Authorities (LEAs) and how their practices challenge the deletion requirements because of LEAs’ own capture, processing, and retention of social networking information. We conclude by identifying lessons from the Canadian experience and raising them against the intense transatlantic struggle over the scope of deletion of data stored in cloud-based computing infrastructures.

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Cuckoo search (CS) is a relatively new meta-heuristic that has proven its strength in solving continuous optimization problems. This papers applies cuckoo search to the class of sequencing problems by hybridizing it with a variable neighborhood descent local search for enhancing the quality of the obtained solutions. The Lévy flight operator proposed in the original CS is modified to address the discrete nature of scheduling problems. Two well-known problems are used to demonstrate the effectiveness of the proposed hybrid CS approach. The first is the NP-hard single objective problem of minimizing the weighted total tardiness time (Formula presented.) and the second is the multiobjective problem of minimizing the flowtime ¯ and the maximum tardiness Tmaxfor single machine (Formula presented.). For the first problem, computational results show that the hybrid CS is able to find the optimal solutions for all benchmark test instances with 40, 50, and 100 jobs and for most instances with 150, 200, 250, and 300 jobs. For the second problem, the hybrid CS generated solutions on and very close to the exact Pareto fronts of test instances with 10, 20, 30, and 40 jobs. In general, the results reveal that the hybrid CS is an adequate and robust method for tackling single and multiobjective scheduling problems.

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The aim of this study is to examine associations between the neighborhood social environment and leisure-time physical activity (LTPA)(1) and walking among women, and whether these associations are mediated by perceived personal safety.

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This paper is devoted to a case study of a new construction of classifiers. These classifiers are called automatically generated multi-level meta classifiers, AGMLMC. The construction combines diverse meta classifiers in a new way to create a unified system. This original construction can be generated automatically producing classifiers with large levels. Different meta classifiers are incorporated as low-level integral parts of another meta classifier at the top level. It is intended for the distributed computing and networking. The AGMLMC classifiers are unified classifiers with many parts that can operate in parallel. This make it easy to adopt them in distributed applications. This paper introduces new construction of classifiers and undertakes an experimental study of their performance. We look at a case study of their effectiveness in the special case of the detection and filtering of phishing emails. This is a possible important application area for such large and distributed classification systems. Our experiments investigate the effectiveness of combining diverse meta classifiers into one AGMLMC classifier in the case study of detection and filtering of phishing emails. The results show that new classifiers with large levels achieved better performance compared to the base classifiers and simple meta classifiers classifiers. This demonstrates that the new technique can be applied to increase the performance if diverse meta classifiers are included in the system.