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A cloud computing based mobile healthcare service system

A cloud computing based mobile healthcare service system

引用

ieee international conference on Smart Instrumentation, Measurement and Applications (ICSIMA)

作者： Gao Zhiqiang He Lingsong Tian Hang Ling Cong School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

The promising potential of cloud computing and its convergence with technologies such as cloud storage, cloud push, mobile computing leads to new developments for divers application domains, which provides a strong technical support for remote healthcare service as well. experts and researchers believe that cloud computing technology can greatly improve the level of healthcare services. Currently, many experts have done fruitful research in this domain. This paper presents a cloud computing based remote healthcare service system. This system mainly consists of three parts: Portable medical devices, intelligent terminals (phones, tablets, etc.), cloud services platform. Portable medical acquisition devices transmit physiological signal to the intelligent terminal via wireless way (Bluetooth/WiFi). Monitoring software in smart terminal responses for data display, storage, and push the measurement results to the cloud service platform. Cloud services platform is a special website developed using cloud server, cloud storage and cloud push technology, which is the core of the whole system. Users can view and maintain their health data record anytime and anywhere only need an Internet equipment. Physicians can view their patient's health status through the same way. If necessary, the doctor can also push the diagnosis to patients and their families' smart phone, so related people can get the diagnosis result at the first time. On the smart terminal, a virtual instrument browser is proposed which can dynamically load virtual instrument page programs and can turn them into executable virtual instrument applications, which can break through the install limitation of measurement application, to avoid installing many applications on the phone.

关键词： Cloud computing Decision support systems Medical services Instruments Handheld computers Medical diagnostic imaging Convergence

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An analytical method of electric power consumers behavior based on Storm

An analytical method of electric power consumers behavior ba...

引用

2015 international conference on Management science,education Technology,Arts,Social science and economics(MSeTASSe 2015)

作者： Dewen Wang Liping Yang School of Control and Computer Engineering North China Electric Power University

ISBN: (纸本)9781510817449

The smart grid is one of the important fields of large data applications. The study of power behavior of the user in the big data environment has important significance for the demand side management,load forecasting and so on. Aiming at the problem of insufficient real-time response capability of massive power data, the introduction of distributed real-time computing platform Storm is used to analyze the user's behavior. In this paper, the k-means algorithm is implemented under the Storm framework. Through the experimental test and comparison analysis, it is verified that the Storm computing system can improve the real-time processing of the data, and can deal with large-scale data.

关键词： Large data Storm Real time clustering

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Study of power quality with changing customer loads in an urban distribution network

Study of power quality with changing customer loads in an ur...

引用

international conference on Green energy and Technology (ICGeT)

作者： Tareq Aziz Sanjib Kumar Nandi Md. Siddikur Rahman Ridown Rashid Riadh Department of Electrical & Electronic Engineering Ahsanullah University of Science & Technology Dhaka Bangladesh American International University-Bangladesh Dhaka Bangladesh American International University Bangladesh Dhaka Dhaka District BD

Power quality is one of the most significant current discussions in electric energy distribution systems. The issue of harmonics has been a controversial and much disputed subject within the field of power quality. Harmonic current originates from all types of nonlinear loads. This paper attempts to show the impacts of rapidly increasing share of nonlinear loads on harmonic distortion of urban distribution feeders. The recommendations of ieee Std. 519-1992 and Bangladesh grid Code are considered carefully. Simulations have been carried out to find out how far the existing distribution system can accommodate non-linear loads. Results show that though the connected load is not hampering power quality of test distribution at present, an increase of nonlinear load share above 30% would cause Total Harmonic Distortion (THD) go beyond tolerable limit and result in poor power quality.

关键词： Harmonic analysis Power system harmonics Harmonic distortion Power quality Inverters Load modeling

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An autonomic approach for fault tolerance using scaling, replication and monitoring in cloud computing

An autonomic approach for fault tolerance using scaling, rep...

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ieee international conference in MOOC Innovation and Technology in education (MITe)

作者： Ashima Garg Sachin Bagga Department of Computer Science and Engineering LLRIET Moga India

Cloud based systems are more popular in today's world but fault tolerance in cloud is a gigantic challenge, as it affects the reliability and availability for the end users. A number of tools have been deployed to minimize the impact of faults. A fault tolerable system ensures to perform continuous operation and produce correct results even after the failure of components up to some extent. More over huge amount of data in the cloud cannot monitor manually by the administrator. Automated tools, dynamic deploying of more servers are the basic requirements of the todays cloud system in order to handle unexpected traffic spikes in the network. This proposed work introduces an autonomic prospective on managing the fault tolerance which ensure scalability, reliability and availability. HAProxy has been used to provide scaling to the web servers for load balancing in proactive manner. It also monitors the web servers for fault prevention at the user level. Our framework works with autonomic mirroring and load balancing of data in database servers using MySQL master- master replication and Nginx respectively. Administrator keeps an eye on working of servers through Nagios tool 24×7 monitoring can't be done manually by the service provider. The proposed work has been implemented in the cloud virtualization environment. experimental results show that our framework can deal with fault tolerance very effectively.

关键词： Databases Cloud computing Web servers Monitoring Fault tolerance Fault tolerant systems

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Accuracy of the frequency and phase measurement concerning different noise sources for phase Doppler Anemometry

Accuracy of the frequency and phase measurement concerning d...

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ieee international conference on Smart Instrumentation, Measurement and Applications (ICSIMA)

作者： Lu Zhang Janusz Kulon Yong Yan School of Control and Computer Engineering North China Electric Power University Beijing PR China Faculty of Computing Engineering and Science University of South Wales Pontypridd UK School of Engineering and Digital Arts University of Kent Canterbury Kent UK

The measurement accuracy of the estimation of the Doppler frequency and the signal phase difference in Phase Doppler Anemometry (PDA) systems is investigated in this paper by taking into account the effect of the particle trajectory via the measurement volume and the different noise sources. Both the signal dependent (quantum shot) noise and the signal independent (thermal and dark current) noise are considered. The minimum achievable measurement uncertainty of the phase shift estimation for the signal independent noise is determined by employing the 2D model of the Doppler Burst Signal with the Gaussian envelope and compared with the performance of the correlation method. Additionally, the Cramér-Rao lower bound (CRLB) of the frequency estimation concerning the quantum shot noise is calculated. The numerical examples show the performance of the correlation method with various parameter configurations compared with the derived CRLB. The numerical results confirm the validity of the analysis in terms of the relative effect of the particle trajectory, relative measurement time, size of the volume and signal-to-noise ratio on the accuracy of the estimation.

关键词： Decision support systems estimation Doppler effect Atmospheric measurements Frequency measurement Volume measurement Particle measurements

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Classifying Bone Trabecular Volumes Using 3D Shape Descriptors

Classifying Bone Trabecular Volumes Using 3D Shape Descripto...

引用

ieee international conference on e-science and grid computing

作者： Manuel Herrera Carlos Martinez-Ortiz Patricia Carvalho-Lobato Maria-Cristina Manzanares-Cespedes Department of Human Anatomy & Embryology Complutense University Madrid Netherlands eScience Center Department of Pathology and Experimental Therapeutics University of Barcelona Spain

In this poster we apply the 3D-cubeness shape descriptor from [1] (C(S)) to a sample (n=37, vertebra, male) of cubic trabecular bone volumes obtained by microcomputerized tomography (CT). Also theoretical models with a decreasing number of assigned trabecular voxels, irrespective their position, were analyzed. Our results show that C(S) correctly classifies the theoretical and the trabecular bone volumes according to their bone volume density (BV/TV) parameter (r=0.97; r2=0.95), and trabecular fractal dimension (FD-BV) (r=0.87; r2=0.80). This provides an alternative to standard global 3D-morphometrical methods used for assessing the microarchitectural deterioration of trabecular bone.

关键词： Bones Shape TV Three-dimensional displays Standards Microarchitecture Biomedical imaging

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TMaaS: Traffic management as a service using cloud in VANeTs

TMaaS: Traffic management as a service using cloud in VANETs

引用

ieee international conference on Smart Instrumentation, Measurement and Applications (ICSIMA)

作者： Jetendra Joshi Kritika Jain Yash Agarwal Manash Jyoti Deka Pravit Tuteja Dept. Of Electronics and Communication Engineering NIIT University Neemrana Rajasthan India

In vehicular ad hoc networks (VANeTs) the network services and applications (e.g., safety messages, vehicle navigation data) require an exchange of vehicle and event location information. VANeT is an important research field of wireless sensor networks providing different applications such as real time traffic information for on road vehicles and related authorities. The integrated model of VANeT with Cloud computing Services (SaaS, PaaS and IaaS), supports many of the real time applications such as vehicle tracking, lane changing, accident detection etc. In this paper we propose the TMaaS: Traffic management as a service in vehicular networks by using the integrated model of VANeT and Cloud computing Services. We have designed a hardware prototype for vehicular speed and location tracking, efficient lane changing and accident detection on real time basis. We have proposed an idea to integrate this hardware system with the cloud service to carry out the data transfer from vehicles to the Central Cloud in a real-time environment for real-time traffic management services. The data of a particular area, stored in the central cloud can be accessed by the traffic monitoring system of that particular area on realtime basis. We have also tested the hardware on road along with radio modules (433 MHz Tx, Rx) to exchange the information. Lastly we have simulated the model using Simulation of Urban Mobility (SUMO) and Network Simulator-2 (NS2) software. The test results show that the system is 75% efficient with respect to the graphs plotted between vehicle movement v/s speed of vehicle and vehicle movement v/s lane changing.

关键词： Cloud computing Vehicles Vehicular ad hoc networks Roads Mobile communication Real-time systems Monitoring

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VISRAD, 3-D target design and radiation simulation code

VISRAD, 3-D target design and radiation simulation code

引用

ieee international conference on Plasma science (ICOPS)

作者： V. N. Golovkina I. e. Golovkin J. J. MacFarlane Prism Computational Sciences Madison WI USA

The 3-D view factor code VISRAD is widely used in designing HeDP experiments at major laser and pulsedpower facilities, including NIF, OMeGA, OMeGA-eP, ORION, LMJ, Z, and PLX. It simulates target designs by generating a 3-D grid of surface elements, utilizing a variety of 3-D primitives and surface removal algorithms, and can be used to compute the radiation flux throughout the surface element grid by computing element-to-element view factors and solving power balance equations. Target set-up and beam pointing are facilitated by allowing users to specify positions and angular orientations using a variety of coordinates systems (e.g., that of any laser beam, target component, or diagnostic port). Analytic modeling for laser beam spatial profiles for OMeGA DPPs and NIF CPPs is used to compute laser intensity profiles throughout the grid of surface elements. We will discuss recent improvements to the software package and plans for future developments.

关键词： Laser beams Computational modeling Mathematical model Solid modeling Algorithm design and analysis Ports (Computers) Analytical models

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Parallel MapReduce for Clustering of Residential Customers energy Behavior

Parallel MapReduce for Clustering of Residential Customers E...

引用

2015 3rd international conference on Machinery,Materials and Information Technology Applications(ICMMITA 2015)

作者： WANG Zheng YANG Yongbiao SONG Jie JIANG Ling YU Jiancheng WANG Xudong State Grid Tianjing Electric Power Company State Grid NARI technology Co. Ltd.

In allusion to the problem about electricity behavior analysis in the low efficiency of dealing with huge amounts of data, we puts forward the Fuzzy c-means clustering(Fuzzy c-means clustering, FCM) parallel algorithm based on Mapreduce technology. By decomposing the iterative process of FCM algorithm into two steps of Map and Reduce, it can effectively improve the efficiency of similarity computing between the data objects and the clustering centers. On this basis, the four characteristics of resident electrical data are clustering analyzed by using the proposed FCM parallel algorithm. The experimental results show that the proposed algorithm can improve the efficiency of mass data clustering analysis and also proves the feasibility of the model.

关键词： Mapreduce Fuzzy c-means clustering Analysis of electric behavior Big data

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Bioinformatics and Healthcare computing Models and Services on grid Initiatives for Data Analysis and Management 3

Bioinformatics and Healthcare Computing Models and Services ...

引用

3rd international conference on Advanced Computer science Applications and Technologies (ACSAT)

作者： Al Mazari, Ali ALFAISAL Univ Dept Informat Technol PSCJ Campus Jeddah Saudi Arabia

ISBN: (纸本)9781479918454

grid platforms serve a wide range of activities in life sciences, bioinformatics, engineering, healthcare and other industries. This paper identifies the key bioinformatics and healthcare computing models and services on grid initiatives and classifies and describes their current use in the industry. Based on what has been reported by the literature, the paper identifies eight key areas of interests and eleven models where bioinformatics and healthcare oriented services are available. The efforts of this work will assist in determining areas of interests for end-users of grid technologies and highlighting future grid studies and research toward further grid services developments.

关键词： grid Platforms Bioinformatics Healthcare Medical Databases Medical Imaging Clinical Informatics Drug Discovery Biomedical Applications Proteins and Genes sciences Medical Simulation and Visualization Brain Activities

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