Collaboration of Smart City Services with Appropriate Resource Management and Privacy Protection

Smart city is a quickly developing approach that is powered by Internet of Things (IoTs), providing a number of services such as collaborative diagnosis and intelligent transportation. In general, in a smart city, the terminals have certain limitations that crib their capability of processing cross application and diversified services. Due to insufficient availability of resources that can be used to develop a collaborative smart city services, a novel methodology that is highly recommended is edge computing which holds facility with high processing ability in the city terminals. However, the threat of privacy and safety of information in the collaborative services is crucial in order to ensure a safer environment of edge computing. To address this privacy issue, we have proposed an offloading method that can be used in smarty city to strengthen the privacy, promote edge utility and improve offloading efficiency. In order to establish balance between the collaborative service and privacy preservation, edge computing is integrated with information entropy. The performance is further verified using simulation analysis in appropriate environment.

A Classification Algorithm of Fault Modes-Integrated LSSVM and PSO with Parameters’ Optimization of VMD

To overcome the shortcomings that the early fault characteristics of rolling bearing are not easy to be extracted and the identification accuracy is not high enough, a novel collaborative diagnosis method is presented combined with VMD and LSSVM for incipient faults of rolling bearing. First, the basic concept of VMD was introduced in detail, and then, the adaptive selection principle of parameter K in VMD was constructed by instantaneous frequency mean. Furthermore, we used Lagrangian polynomial and Euclidean norm to verify the value of K accurately. Secondly, we proposed a classification algorithm based on PSO-optimized LSSVM. Meanwhile, the flowchart of the classification algorithm of fault modes may be also designed. Third, the experiment shows that the presented algorithm in this paper is effective by using the existing failure data provided by the laboratory of Guangdong Petrochemical Research Institute. Finally, some conclusions and application prospects were discussed.

Like, Comment, Post . . . Lawsuit?!

Social media (SM) and electronic communication (EC) use in emergency practice settings has offered patients and health care providers expansive options in accessing and utilizing information that affects medical decision-making. This widespread use has created opportunities and challenges for the health care community. This chapter discusses some of the ethical and legal ramifications of utilizing electronic communication, social media, and internet forums in patient care. The chapter seeks to prime emergency physicians and other providers to better inform themselves in order to ensure compliance with the Health Insurance Portability and Accountability Act (HIPAA) and other privacy standards. This will facilitate better patient outcomes via collaborative diagnosis while protecting against legal risks associated with the use of SM, EC, and recording for medical purposes.

A Collaboratory for the Distributed Collaborations Within a Biosecurity Laboratory and Across Different Organizations

This paper presents our work in the design and development of collaborative platforms to support distributed scientific collaborations in a national biosecurity laboratory which carries out diagnostics and research work in animal diseases. We have focused on two types of collaboration challenges. One is the “distributed” collaborations between scientists working inside the physical containment areas and scientists working in the general office area within the laboratory. The second is the collaborative diagnosis and decision-making work between this laboratory and other organizations working on the responses of emergency animal diseases. The “biosecurity collaboration platform” which addresses the first challenge has been implemented and used by the scientists in the laboratory. The platform integrates shared digital workspaces and supports the sharing and interaction of scientific data from various resources and laboratory instruments (e.g. microscopes). The “secure collaboration platform” which addresses the second challenge is an extension of the biosecurity collaboration platform and integrates eAuthentication and eAuthorization technologies to support secure communication and information sharing between experts from different organizations. Results from user studies have shown that the collaboration platforms can provide core capabilities of communication, trustworthy information sharing and access to real-time data from scientific instruments in complex collaborations in the biosecurity domain.

Collaborative diagnosis between clinician and patient: why to do it and what to consider

SUMMARYThis article discusses findings from the literature and our own research related to the experience of the diagnostic process in mental healthcare, primarily from the perspective of patients, and it focuses on the benefits of collaboration. A common finding throughout our research is that, if a diagnostic process is undertaken, the majority of patients want to be actively involved and feel valued in it. This helps ensure that they find the process and the resulting diagnosis to be meaningful, informative and useful. We believe that collaboration could also mitigate some of the reported negative unintended consequences of diagnosis, including feeling stigmatised, labelled and disempowered. Our work has led us to conceive of diagnosis as having two overarching elements: the diagnostic process and the resulting diagnostic label. This article focuses specifically on the diagnostic process; we do not consider here the debate surrounding the evidence base for the validity of psychiatric classification.LEARNING OBJECTIVESAfter reading this article you will be able to: •understand patients' experiences of the diagnostic process•achieve a shared and collaborative diagnostic process with patients•reflect on potential barriers and facilitators to collaborative diagnosis in your own practice.DECLARATION OF INTERESTNone.