A survey: Ant Colony Optimization based recent research and implementation on several engineering domain

Mohan, B. Chandra; Baskaran, R.

doi:10.1016/j.eswa.2011.09.076

Cited by 314 publications

(46 citation statements)

References 38 publications

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“…According to above optimization formula, VDU allocation method combined ACO [13]- [15] and GA [16]- [18] is described as follow: a) Task set is created after task decomposition.On condition that multiple VDU dealing with multiple kinds of tasks,different design tasks are classified and agglomerated. Purpose of task allocation is to select reasonable number of every kind of task for every available VDU.…”

Section: ) Vdu Allocation Methods Statementmentioning

confidence: 99%

Design Task Modeling and Task Allocation Method Research Based Multi-granularity Space in Distributed Network Environment

Cao¹,

Xu²,

Hu³

2013

Advances in Intelligent Systems Research

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Abstract-To realize reasonable design task modeling and high efficiency task collaboration and allocation in complicated design process, a design task model based granular space is proposed, and cross-stage collaboration mode and task allocation method are discussed. Firstly, combining study results of Collaboration design and Cloud Manufacturing (CMfg), four dimension granular space of design task is defined and a general design task model is built. Secondly, cross-stage collaboration mode based task in distributed network environment is proposed. And then, design task allocation methods on both cross-stage synergy and single stage synergy are introduced. Finally, application prototype system is illustrated. Application results show that deign task model and task allocation in the multi-task collaboration mode are feasible.

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Section: ) Vdu Allocation Methods Statementmentioning

confidence: 99%

Design Task Modeling and Task Allocation Method Research Based Multi-granularity Space in Distributed Network Environment

Cao¹,

Xu²,

Hu³

2013

Advances in Intelligent Systems Research

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“…Warren et al (2005) Motorola Emergency Medical Communications System, Smart Homes Foundation, New York City are few smart healthcare systems are implemented and tested in the industry. Mohan et al (2008); Mohan and Baskaran (2010;2011a;2011b;2011c;2011d) proposed routing protocol using both artificial intelligence and swarm intelligence for wired cum wireless environment which offers optimality in all aspects.…”

Section: Network Topologiesmentioning

confidence: 99%

An Overview of Research Issues in the Modern Healthcare Monitoring System Design using Wireless Body area Network

Yu¹

2012

American Journal of Applied Sciences

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Problem statement: Healthcare is recognized various leading edge technologies and new scientific discoveries to enable better cures for diseases and better means to enable early detection of most life threatening diseases. The modern health care focused for optimally reducing the healthcare costs. Approach: The modern healthcare system enables medical professionals to remotely perform real-time monitoring, early diagnosis and treatment for potential risky disease. A mobile patient monitoring system, which integrates current Personal Digital Assistant (PDA) technology and Wireless Local Area Network (WLAN) technology are proposed in the recent year. In addition to this, the medical diagnosis and patient consultations can be delivered via wire/wireless communication networks. Results: This study reviews on the recent research in the field of wireless body area networks and modern health-care systems. Conclusion: This study analyses the design, architecture and implementation of Wireless Body Area Network (WBAN) based health care system.

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“…Each neuron in this PCNN corresponds to one pixel in the given input image, which receives its corresponding pixel's color information (e.g., intensity) as an external stimulus. Mohan and Baskaran (2010;2011a, 2011b, 2011c, 2011dMohan et al, 2008) proposed ANN for decision making and prediction model for network routing.…”

Section: Artificialmentioning

confidence: 99%

A Review on Recent Research and Implementation Methodologies on Medical Image Segmentation

Somasundaram¹

2012

Journal of Computer Science

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Problem statement: Image segmentation plays a very important role in digital imaging applications for classifying the anatomical structures and other Regions of Interest. Segmentation refers to the process of identifying and isolating the surface and regions of the digital image which corresponds to the structural units. Approach: In the past few decades, many methods have been proposed to segment the digital image. Most of them were based on two basic properties of the pixels in relation to their local neighborhood: discontinuity and similarity. The approaches based on discontinuity partition of an image are performed by detecting isolated points, lines and edges, which were known as edge detection techniques. Results: A particular class of segmentation techniques is based on multi resolution analysis. The image segmentation process is includes various techniques like Threshold method, boundary tracking, Clustering, Region-Based. Conclusion: The objective of this study is to provide brief study on various segmentation methodologies for the researchers. This study presents the brief review on image segmentation and analyses the performance and improvement of various algorithms and fulfilled the objectives.

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A survey: Ant Colony Optimization based recent research and implementation on several engineering domain

Cited by 314 publications

References 38 publications

Design Task Modeling and Task Allocation Method Research Based Multi-granularity Space in Distributed Network Environment

Design Task Modeling and Task Allocation Method Research Based Multi-granularity Space in Distributed Network Environment

An Overview of Research Issues in the Modern Healthcare Monitoring System Design using Wireless Body area Network

A Review on Recent Research and Implementation Methodologies on Medical Image Segmentation

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