Control of physiological states such as mean arterial pressure (MAP) has been successfully achieved using single drug by different control algorithms. Multi-drug delivery demonstrates a significantly challenging task ...
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Control of physiological states such as mean arterial pressure (MAP) has been successfully achieved using single drug by different control algorithms. Multi-drug delivery demonstrates a significantly challenging task as compared to control with a single-drug. Also the patient's sensitivity to the drugs varies from patient to patient. Therefore, the implementation of adaptive controller is very essential to improve the patient care in order to reduce the workload of healthcare staff and costs. This paper presents the design and implementation of a Proportional Integral Derivative controller (PID) using neural network based parameter tuning mechanism to regulate mean arterial pressure and cardiac output (CO) by administering vasoactive and inotropic drugs that are sodium nitroprusside (SNP) and dopamine (DPM) respectively. The parameters of PID controller were optimised offline using Simulink Response Optimization tool. The proposed Neuro-PID controller has been implemented, tested and verified to demonstrate its merits and capabilities as compared to the existing approaches to cover wide range of patients.
The sustained increase in users and the request for advanced services are some of the key motivations for considering the designing of Hierarchical Cellular Networks (HCN). HCN can provide high system capacity, effici...
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The sustained increase in users and the request for advanced services are some of the key motivations for considering the designing of Hierarchical Cellular Networks (HCN). HCN can provide high system capacity, efficient channel utilisation, and an inherent load-balancing capability. In this type of system, calls blocked in a microcell flow over to an overlay macrocell. In this paper, a two layer macrocell/microcell HCN system model is considered. Performance models for microcells and macrocell are developed through the use of 1-D and 2-D markov process, respectively. In the proposed CAC, the HCN system supports both fast and slow mobility users. The macrocells handle the fast-mobility users while the microcells serve the slow-mobility users. In the microcells, a combination of sub-rating, call bounding and handoff queueing schemes have been used, while in the macrocell the call bounding scheme has been used. The results show that the proposed scheme reduces both the dropping probability of handoff calls and the blocking probability of new calls. The effect of sub-rating in the microcell on the voice quality is also studied, and the results show that the voice quality will degrade when the number of channels sub-rated is increased, and voice quality can be improved by increasing the number of microcells.
BioVLab gateway is built upon Open Gateway computing Environments and is currently used as reconfigurable cloud computing workbench. In this talk, we will discuss the new directions towards a TeraGrid Science Gateway ...
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Cloud platform provides an infrastructure for resource sharing, software hosting and service delivering in a pay-per-use approach. To test the cloud-based software systems, techniques and tools are necessary to addres...
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Multi-layered social networks reflect complex relationships existing in modern interconnected IT systems. In such a network each pair of nodes may be linked by many edges that correspond to different communication or ...
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Multi-layered social networks reflect complex relationships existing in modern interconnected IT systems. In such a network each pair of nodes may be linked by many edges that correspond to different communication or collaboration user activities. Multi-layered degree centrality for multi-layered social networks is presented in the paper. Experimental studies were carried out on data collected from the real Web 2.0 site. The multi-layered social network extracted from this data consists of ten distinct layers and the network analysis was performed for different degree centralities measures.
Role-Based Encryption (RBE) realizes access control mechanisms over encrypted data according to the widely adopted hierarchical RBAC model. In this paper, we present a practical RBE scheme with revocation mechanism ba...
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Asthma is one of the most common childhood chronic diseases in the world, and the nature of paediatric asthma management inherently requires intense collaborative care. In this paper, we report the results of a multi-...
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Asthma is one of the most common childhood chronic diseases in the world, and the nature of paediatric asthma management inherently requires intense collaborative care. In this paper, we report the results of a multi-method qualitative inquiry aimed at understanding paediatric asthma management and the potential for technologies to support low-income families. Our findings highlight three themes around the challenges to managing paediatric asthma faced by low-income families in the US: information sharing about environmental triggers, health communication and coordination, and the need for social support. Additionally, we critique existing solutions in light of the needs of families and suggest new avenues for designing for effective asthma management.
Socially Relevant Simulation Games (SRSG), a new medium for social interaction, based on real-world skills and skill development, creates a single gaming framework that connects both serious and casual players. Throug...
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ISBN:
(纸本)9781450306164
Socially Relevant Simulation Games (SRSG), a new medium for social interaction, based on real-world skills and skill development, creates a single gaming framework that connects both serious and casual players. Through a detailed case study this paper presents a design process and framework for SRSG, in the context of mixed-reality golf swing simulations. The SRSG, entitled "World of Golf", utilizes a realtime expert system to capture, analyze, and evaluate golf swing metrics. The game combines swing data with players'backgrounds, e.g., handicaps, to form individual profiles. These profiles are then used to implement a golf simulation game using artificially controlled agents who inherit the skill levels of their corresponding human users. The simulation and assessment modules provide the serious player with tools to build golf skills while allowing casual players to engage within a simulated social world. A framework that incorporates simulated golf competitions among these social agents is presented and validated by comparing the usage statistics of 10 PGA Golf Management (PGM) students with 10 non-professional students. Copyright 2011 ACM.
Service-oriented architecture and cloud computing have become the prevalent computing paradigm. In this paradigm, computing resources can be accessed like other utility services available in today's society. In th...
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ISBN:
(纸本)9780769543499
Service-oriented architecture and cloud computing have become the prevalent computing paradigm. In this paradigm, computing resources can be accessed like other utility services available in today's society. In the meantime, robotics applications are joining the trend. More and more robot applications are shifting from manufacture to non-manufacture and service industries. However, for the on-demand supply of the large-scale heterogeneous robots, It is still a problem have not yet been studied, including the fundamental management and efficiency issues in using of these resources. In this paper, we design a framework of "Robot Cloud Center" (RCC) following the general cloud computing paradigm to address the current limitations in capacity and versatility of robotic applications. In this framework, a robot can be provided as a service just like a public utility service so that everyone can access the powerful robotic services easily, efficiently, and cheaply. Based on a given scenario, a robot scheduling algorithm in RCC is proposed to take advantage of the heterogeneous robot resources to meet the end user's requirement with the minimum cost.
In cloud computing, security is an important issue due to the increasing scale of users. Current approaches to access control on clouds do not scale well to multi-tenancy requirements because they are mostly based on ...
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In cloud computing, security is an important issue due to the increasing scale of users. Current approaches to access control on clouds do not scale well to multi-tenancy requirements because they are mostly based on individual user IDs at different granularity levels. However, the number of users can be enormous and causes significant overhead in managing security. RBAC (Role-Based Access Control) is attractive because the number of roles is significantly less, and users can be classified according to their roles. This paper proposes a RBAC model using a role ontology for Multi-Tenancy Architecture (MTA) in clouds. The ontology is used to build up the role hierarchy for a specific domain. Ontology transformation operations algorithms are provided to compare the similarity of different ontology. The proposed framework can ease the design of security system in cloud and reduce the complexity of system design and implementation.
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