Showing 1–12 of 17 results
A big data analytics framework for scientific data management
The Ophidia projectرایگان!
The Ophidia project is a research effort addressing big data analytics requirements, issues, and challenges for eScience. We present here the Ophidia analytics framework, which is responsible for atomically processing, transforming and manipulating array-based data. This framework provides a common way to run on large clusters analytics tasks applied to big datasets. The paper highlights the design principles, algorithm, and most relevant implementation aspects of the Ophidia analytics framework. Some experimental results, related to a couple of data analytics operators in a real cluster environment, are also presented.
A Survey of Security and Privacy in Big Data
Big data has been arرایگان!
Big data has been arising a growing interest in both scientific and industrial fields for its potential value. However, before employing big data technology into massive applications, a basic but also principle topic should be investigated: security and privacy. In this paper, the recent research and development on security and privacy in big data is surveyed. First, the effects of characteristics of big data on information security and privacy are described. Then, topics and issues on security are discussed and reviewed. Further, privacy-preserving trajectory data publishing is studied due to its future utilization, especially in telecom operation.
A systematic review of economic analyses of telehealth services using real time video communication
Background: Telehealth is the delivery of health care at a distance, using information and communication technology. The major rationales for its introduction have been to decrease costs, improve efficiency and increase access in health care delivery. This systematic review assesses the economic value of one type of telehealth delivery – synchronous or real time video communication – rather than examining a heterogeneous range of delivery modes as has been the case with previous reviews in this area. Methods: A systematic search was undertaken for economic analyses of the clinical use of telehealth, ending in June 2009. Studies with patient outcome data and a non-telehealth comparator were included. Cost analyses, noncomparative studies and those where patient satisfaction was the only health outcome were excluded. Results: 36 articles met the inclusion criteria. 22(61%) of the studies found telehealth to be less costly than the non-telehealth alternative, 11(31%) found greater costs and 3 (9%) gave the same or mixed results. 23 of the studies took the perspective of the health services, 12 were societal, and one was from the patient perspective. In three studies of telehealth to rural areas, the health services paid more for telehealth, but due to savings in patient travel, the societal perspective demonstrated cost savings. In regard to health outcomes, 12 (33%) of studies found improved health outcomes, 21 (58%) found outcomes were not significantly different, 2(6%) found that telehealth was less effective, and 1 (3%) found outcomes differed according to patient group. The organisational model of care was more important in determining the value of the service than the clinical discipline, the type of technology, or the date of the study.
CogNet: A Network Management Architecture Featuring Cognitive Capabilities
It is expected thatرایگان!
It is expected that the fifth generation mobile networks (5G) will support both human-to-human and machine-tomachine communications, connecting up to trillions of devices and reaching formidable levels of complexity and traffic volume. This brings a new set of challenges for managing the network due to the diversity and the sheer size of the network. It will be necessary for the network to largely manage itself and deal with organisation, configuration, security, and optimisation issues. This paper proposes an architecture of an autonomic selfmanaging network based on Network Function Virtualization, which is capable of achieving or balancing objectives such as high QoS, low energy usage and operational efficiency. The main novelty of the architecture is the Cognitive Smart Engine introduced to enable Machine Learning, particularly (near) realtime learning, in order to dynamically adapt resources to the immediate requirements of the virtual network functions, while minimizing performance degradations to fulfill SLA requirements. This architecture is built within the CogNet European Horizon 2020 project, which refers to Cognitive Networks.
Environmental, Health, and Safety Guidelines for Fish Processing
The Environmental, Hرایگان!
The Environmental, Health, and Safety (EHS) Guidelines are technical reference documents with general and industryspecific examples of Good International Industry Practice (GIIP)1. When one or more members of the World Bank Group are involved in a project, these EHS Guidelines are applied as required by their respective policies and standards. These industry sector EHS guidelines are designed to be used together with the General EHS Guidelines document, which provides guidance to users on common EHS issues potentially applicable to all industry sectors. For complex projects, use of multiple industry-sector guidelines may be necessary. A complete list of industry-sector guidelines can be found at: www.ifc.org/ifcext/enviro.nsf/Content/EnvironmentalGuidelines The EHS Guidelines contain the performance levels and measures that are generally considered to be achievable in new facilities by existing technology at reasonable costs. Application of the EHS Guidelines to existing facilities may involve the establishment of site-specific targets, with an appropriate timetable for achieving them. The applicability of the EHS Guidelines should be tailored to the hazards and risks established for each project on the basis of the results of an environmental assessment in which site-specific variables, such as host country context, assimilative capacity of the environment, and other project factors, are taken into account.
Four Decades of Data Mining in Network and Systems Management
How has the interdisرایگان!
How has the interdisciplinary data mining field been practiced in Network and Systems Management (NSM)? In Science and Technology, there is a wide use of data mining in areas like bioinformatics, genetics, Web and more recently astroinformatics. However, the application in NSM has been limited and inconsiderable. In this article, we provide an account of how data mining has been applied in managing networks and systems for the past four decades, presumably since its birth. We look into the field’s applications in the key NSM activities – discovery, monitoring, analysis, reporting and domain knowledge acquisition. In the end, we discuss our perspective on the issues that are considered critical for the effective application of data mining in the modern systems which are characterized by heterogeneity and high dynamism.
Identify Future Changes of ICT in Human Resources Management : A Delphi Study
In an age of increasرایگان!
In an age of increasing complexity and pace of innovation, futures thinking and foresight are becoming more important and attractive than ever before. This study aimed to identify future Changes of information and communication technology (ICT) affecting on the performance and activities of human resources management(HRM), between now and the 5 years future. The paper applies the Delphi method and draws on a panel of anonymous experts comprising e-HRM academics and e-HRM practitioners from TUGA Company, in the 2015. After survey theoretical sources, proper understanding of the issues and consult with professors, a questionnaire composed of two parts, designed and distributed among members of the panel and after three rounds and reach a consensus between experts, rounds stopped. Findings indicate that Changes in information and communication technology (ICT) are have implications for HRM in the future. So, organizations have to preparation for future changess in technology, and increased attention to the conduct of research activities in this the field .
Improved ant colony algorithm for adaptive frequency-tracking control in WPT system
When the distance beرایگان!
When the distance between resonators is low enough for the coupling condition to be greater than the critical coupling, the single resonant peak at the load splits to form double peaks. This frequency-splitting phenomenon results in a reduction in the power transferred. In this study, an adaptive frequency-tracking control (AFTC) approach based on a closedloop control scheme is implemented to overcome this problem. An improved ant colony algorithm (IACA) was proposed in AFTC to track the maximum power point in real time. Then, simulations were performed to test the real-time characteristics of IACA. Finally, a wireless power transfer system with AFTC is demonstrated experimentally to validate the IACA results and the tracking of the optimal frequency.
Information Communication Technology (ICT) use among PLHIV in China: A promising but underutilized venue for HIV prevention and care
In this paper, we reرایگان!
In this paper, we report the use of information and communication technology (ICT) among people living with HIV (PLHIV) in Guangxi, China. A total 2987 participants were recruited from 12 sites with the highest number of cumulative HIV incidence, including 2 cities and 10 counties. A questionnaire survey was conducted to collect data on the participants’ social demographic characteristics, clinical outcomes, infections and coinfections, pattern of ICT use, and use and intention of using ICT in HIV and AIDS management. The data was analyzed using SPSS, version 24. The results showed 78.7% (n = 2347) never used a computer, 86.9% (n = 2587) had a cellphone, 32.7% (n = 207) owned an email account, and 85.4% (n = 544) owned a social media account. Less than half of the participants reported ever using ICTs for HIV management. Only 26.2% (n = 266) were willing to join a web-based HIV prevention program. Findings of this study suggest that there was an imbalance in the participants’ ICT device ownership and choices of media platform. Social media appeared to be a potential platform for health intervention among this group. There was a low penetration of computer use among rural participants and a large disparity between the urban and rural participants, which indicated a need to expand the current infrastructure related to ICTs and increase people’s health literacy. Future research also needs to pay attention to security and trustworthiness of the intervention program to better promote ICTs as an efficient and reliable platform for HIV prevention and care.
Layered Structure and Management in Internet of Things
The development forرایگان!
The development for Internet of Things and RFID technology is described in this paper. A feasible scheme and layered structure is proposed for Internet of Things. Its management is presented according to the demand for Internet of Things in China. The general system contains two parts: computer information subsystem and RFID terminal subsystem, the latter of which is the main focus. The management protocol for Internet of Things explored in the paper includes SNMP and RFID managing protocol (RFIDMP).
Optimal Roadside Units Placement in Urban Areas for Vehicular Networks
The most important cرایگان!
The most important component of a vehicular ad hoc network (VANET), besides VANET-enabled vehicles, is roadside units (RSUs). The effectiveness of a VANET largely depends on the density and location of these RSUs. During the initial stages of VANET, it will not be possible to deploy a large number of RSUs either due to the low market penetration of VANET-enabled vehicles or due to the deployment cost of RSUs. There is, therefore, a need to optimally place a limited number of RSUs in a given region in order to achieve maximum performance. In this paper, we present two different optimization methods for placement of a limited number of RSUs in an urban region: an analytical Binary Integer Programming (BIP) method and a novel Balloon Expansion Heuristic (BEH) method. BIP method utilizes branch and bound approach to find an optimal analytical solution whereas BEH method uses balloon expansion analogy to find an optimal or near optimal solution. Our evaluations show that both methods perform optimally or near optimally compared with the exhaustive method. Further, BEH method is more versatile and performs better than BIP method in terms of
computational cost and scalability.
Probabilistic Modeling to Achieve Load balancing in Expert Clouds
Expert Cloud as a neرایگان!
Expert Cloud as a new class of Cloud computing systems enables its users to request the skill, knowledge and expertise of people without any information of their location by employing Internet infrastructures and Cloud computing concepts. Effective load balancing in a heterogeneous distributed environment such as Cloud is important. Since the differences in the human resource (HRs) capabilities and the variety of users’ requests causes that some HRs are overloaded and some others are idle. The task allocation to the HR based on the announced requirements by the user may cause the imbalanced load distribution among HRs as well. Hence resource management and scheduling are among the important cases to achieve load balancing. Using static and dynamic algorithms, the ant colony, and the method based on searching tree all are among the methods to achieve load balancing. This paper presents a new method in order to distribute the dynamic load based on distributed queues aware of service quality in the Cloud environment. In this method, we utilize the colorful ants as a ranking for making distinction among the HRs capabilities. In this paper, we perform the mapping among the tasks and HRs using allocating a label to each HR. We model the load balancing and mapping process based on Poisson and exponential distribution. This model allows us to allocate each task to the HR which is able to execute it with maximum power using the distributed queues aware of the service quality. Simulation results show that the expert Cloud can reduce the execution and tardiness time and improve HR utilization. The cost of using resources as an effective factor in load balancing is also observed.