Interoperability optimization in healthcare collaboration networks

2012 ◽  
Vol 57 (5) ◽  
Author(s):  
Nabil A. Alrajeh ◽  
Badr Elmir ◽  
Bouchaïb Bounabat ◽  
Norelislam El Hami
Keyword(s):  
Data Exchange ◽  
Particle Swarm Optimization Algorithm ◽  
Optimization Method ◽  
Operational Performance ◽  
Collaboration Networks ◽  
Healthcare Information System ◽  
Service Oriented ◽  
Healthcare Processes ◽  
Automated Processes ◽  
Modeling Representation

AbstractInteroperability is one of the most challenging concerns that face healthcare information system (HIS) actors. Interoperability implementation in this context may be a data exchange interfacing, a service oriented interaction or even a composition of new composite healthcare processes. In fact, optimizing efforts of interoperability achievement is a key requirement to effectively setup, develop and evolve intra- and interorganizational collaboration. To ensure interoperability project effectiveness, this paper proposes a modeling representation of health processes interoperability evolution. Interoperability degrees of involved automated processes are assessed using a ratio metric, taking into account all significant aspects, such as potentiality, compatibility and operational performance. Then, a particle swarm optimization algorithm (PSO) is used as a heuristic optimization method to find the best distribution of effort needed to establish an efficient healthcare collaborative network.

scholarly journals An Improved Localization Method for the Transition between Autonomous Underwater Vehicle Homing and Docking

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2468
Author(s):  
Ri Lin ◽  
Feng Zhang ◽  
Dejun Li ◽  
Mingwei Lin ◽  
Gengli Zhou ◽  
...  
Keyword(s):  
Data Exchange ◽  
Autonomous Underwater Vehicle ◽  
Autonomous Underwater Vehicles ◽  
Optimization Method ◽  
Short Baseline ◽  
Localization Accuracy ◽  
Localization Method ◽  
Mapping Algorithm ◽  
Localization And Mapping ◽  
Update Rate

Docking technology for autonomous underwater vehicles (AUVs) involves energy supply, data exchange and navigation, and plays an important role to extend the endurance of the AUVs. The navigation method used in the transition between AUV homing and docking influences subsequent tasks. How to improve the accuracy of the navigation in this stage is important. However, when using ultra-short baseline (USBL), outliers and slow localization updating rates could possibly cause localization errors. Optical navigation methods using underwater lights and cameras are easily affected by the ambient light. All these may reduce the rate of successful docking. In this paper, research on an improved localization method based on multi-sensor information fusion is carried out. To improve the localization performance of AUVs under motion mutation and light variation conditions, an improved underwater simultaneous localization and mapping algorithm based on ORB features (IU-ORBSALM) is proposed. A nonlinear optimization method is proposed to optimize the scale of monocular visual odometry in IU-ORBSLAM and the AUV pose. Localization tests and five docking missions are executed in a swimming pool. The localization results indicate that the localization accuracy and update rate are both improved. The 100% successful docking rate achieved verifies the feasibility of the proposed localization method.

scholarly journals Nova Genesis - An Advanced Architecture for Internet of Things

2020 ◽  
Vol 9 (1) ◽  
pp. 1661-1666
Keyword(s):  
Information Exchange ◽  
Data Exchange ◽  
Service Oriented Architecture ◽  
Future Internet ◽  
Limiting Factor ◽  
Efficient Storage ◽  
Efficient Data ◽  
Service Oriented ◽  
New Applications ◽  
Control Management

The Internet has become the most important medium for information exchange and the core communication environment for business relations as well as for social interactions. The current internet architecture itself might become the limiting factor of Internet growth and deployment of new applications including 5G and future internet. Architectural limitations of internet include weak security, lack of efficient storage and caching, data distribution and traceability issues, lack of interoperability and so on. The proposed system overcomes these limitations by an alternate architecture for internet called NovaGenesis. This architecture integrates the concepts of Information Centric Networking (ICN), Service Oriented Architecture (SOA), network caching and name based routing. ICN evolve internet from a host-centric model to a content-centric model through efficient data exchange, storage and processing. SOA enables software-control/management of network devices based on service requirements. Network caching improves performance in terms of throughput, network traffic and retrieval delay. Name based routing is for discovering and delivering of data. The framework proposed increases the scalability and reliability of the delivery of IoT data for services.

Operational performance analysis of spiral capsule robot in multiphase fluid

Robotica ◽  
2018 ◽  
Vol 37 (2) ◽  
pp. 213-232
Author(s):  
Liang Liang ◽  
Bai Chen ◽  
Yong Tang ◽  
Yan Xu ◽  
Yu Liu
Keyword(s):  
Performance Indicators ◽  
Thrust Force ◽  
Optimization Method ◽  
Solid Particles ◽  
Operational Performance ◽  
Maximum Pressure ◽  
High Concentration ◽  
Two Phase ◽  
Axial Thrust ◽  
Mixed Fluid

SUMMARYMinimally invasive surgery is a developing direction of modern medicine. With the successful development of controllable capsule endoscopies, capsule robots are very popular in the field of gastrointestinal medicine. At present, the study of intestinal robots is aimed at the pipeline environment of a single-phase liquid flow. But there exist food residues (i.e. solid particles) or liquid foods in the actual intestine, so intestinal fluid should be liquid–solid or liquid–liquid two-phase mixed fluid. For inner spiral capsule robots with different internal diameters and outer spiral capsule robots, using computational fluid dynamics (CFD) method, the operational performance indicators (i.e. axial thrust force, circumferential resisting moment and maximum pressure to pipeline wall) of spiral capsule robots are numerically calculated in the liquid–solid or liquid–liquid two-phase mixed fluid. By the orthogonal experimental optimization method, the optimum design of spiral capsule robots is obtained in the liquid–solid mixed fluid. The experimental verification has been also carried out. The results show that in the liquid–solid two-phase fluid, the axial thrust force and circumferential resisting moment of the spiral capsule robots decrease with the increase of the size or concentration of solid particles. In the same liquid–solid or liquid–liquid mixed fluid, the operational performance indicators of outer spiral robots are much higher than those of inner spiral robots, and the operational performance indicators of inner spiral robots with bigger internal diameters are higher than those with smaller internal diameters. Adding solid particles of high concentration in the pipeline containing liquid will reduce the drive performance of spiral capsule robots, but adding another liquid of high viscosity will improve the drive performance of spiral capsule robots.

An Optimum Bending Groove Design of Panel to Minimize Noise Power

Volume 1 ◽  
2004 ◽  
Author(s):  
Jin-Young Jeon ◽  
Masaaki Okuma ◽  
Yusuke Nakura
Keyword(s):  
Optimum Design ◽  
Sound Pressure ◽  
Particle Swarm Optimization Algorithm ◽  
Design Method ◽  
Optimization Method ◽  
Noise Power ◽  
Good Reduction ◽  
Swarm Optimization ◽  
Application Study ◽  
Force Excitation

In this paper, the authors propose a new method for optimum design of bending grooves on vibrating panel-like structures to reduce noise. It is proposed in the method to use the mapping of sound pressure level on the vibrating panel’s surface for best positioning of a bending groove and to apply the particle swarm optimization algorithm (PSOA) for determining the best dimensions of the bending groove. The optimum design method is applied to a rectangular aluminum panel whose size is 0.45×0.4m with thickness 0.001m under the boundary condition of clamping four edge lines. Then, a panel with a bending groove is actually made according to the optimum design, and an experiment is carried out to the panel for verification. The application study is carried out for two cases of different position of a point force excitation on the panel. The two applications demonstrate that the bending grooves designed by the optimization method can realize good reduction of sound power.

scholarly journals An improved particle swarm optimization algorithm for dynamic analysis of chain drive based on multidisciplinary design optimization

2019 ◽  
Vol 11 (3) ◽  
pp. 168781401982961
Author(s):  
Mengjiang Chai ◽  
Yongliang Yuan ◽  
Wenjuan Zhao
Keyword(s):  
Particle Swarm Optimization ◽  
Design Optimization ◽  
Optimization Algorithm ◽  
Multidisciplinary Design Optimization ◽  
Particle Swarm Optimization Algorithm ◽  
Optimization Method ◽  
Drive System ◽  
Multidisciplinary Design ◽  
Chain Drive ◽  
Swarm Optimization

Chain drive is one of the most commonly used mechanical devices in the main equipment transmission system. In the past decade, scholars focused on basic performance research, but ignore its best performance. In this study, due to the large vibration of the chain drive in the transmission system, the vibration performance and optimization parameters are also considered as a new method to design the chain drive system to obtain the best performance of the chain drive system. This article proposes a new method and takes a chain drive design as a case based on the multidisciplinary design optimization. The system optimization objective and sub-systems are established by the multidisciplinary design optimization method. To obtain the best performance for the chain, the chain drive is executed by an improved particle swarm optimization algorithm. Dynamic characteristics of the chain drive system are simulated based on the multidisciplinary design optimization results. The impact force of the chain links, vibration displacement, and the vibration frequency are analyzed. The results show that the kinematics principle of the chain drive and the optimal parameter value are obtained based on the multidisciplinary design optimization method.

Research and Design of Multi-Source Heterogeneous Information Integration Platform for Metadata Service

2014 ◽  
Vol 513-517 ◽  
pp. 1485-1489 ◽  
Author(s):  
Xiao Ming Guo ◽  
Liang Li Ma ◽  
Kai Su ◽  
Yu Fei Sun
Keyword(s):  
Information Integration ◽  
Data Exchange ◽  
Heterogeneous Information ◽  
Management Platform ◽  
Integration Management ◽  
Frame System ◽  
Service Oriented ◽  
Service Logic ◽  
Data Layer ◽  
Metadata Service

Based on metadata technique, this paper introduced metadata service oriented multi-source heterogeneous information data integration frame for large multi-source heterogeneous information integration management and interconnecting, intercommunicating, interoperability between different heterogeneous information systems. This metadata service oriented frame, benefiting from knowledge base of data warehouse, had 5 layers frame system including resource layer, integration layer, management layer, service layer and customer layer. Metadata service system contained data layer, directory service logic layer, data exchange layer and Web presentation layer. This paper represented that the metadata service was the core of integration frame, and the realization of integration management platform was feasible.

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