Soft Tissues Deformation and Removal Simulation Modeling for Virtual Surgery

Jayasudha, K.; Kabadi, Mohan G.

doi:10.1504/ijisc.2019.10025987

IJISC

2019

DOI: 10.1504/ijisc.2019.10025987

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Soft Tissues Deformation and Removal Simulation Modeling for Virtual Surgery

K. Jayasudha

Mohan G. Kabadi

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VANET is a critical and demanding mission. Numerous methods exist, but none profits in a distributed fashion from physical layer parameters. This paper describes a method that enables individual nodes to estimate node density, independent of beacon messages, and other infrastructure-based information, of their surrounding network. In this paper, a discrete simulator of events was proposed to estimate the average number of simultaneously transmitting nodes, a functional channel model for the VANETs system, and a method of estimating node density. Proposed based on some equations to allow individual nodes to estimate their surrounding node density in real-time Optimized Node Cluster Algorithm with Network Density in which the composition of a cluster is triggered adjacent, these traffic signals is the same and has been predicated mostly on the position a vehicle might well take after crossing. Additional Ordered Tracking with Particle -Filter Routing in which receives simultaneous signal intensity versus node transmission and node density transmission. Conduct multiple location-related analyzes to test the plausibility of the neighboring single-hop nodes on mobility data. The system is designed to operate in the most complex situations where nodes have little knowledge of network topology and the results, therefore, indicate that the system is fairly robust and accurate.

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Optimized Node Clustering based on Received Signal Strength with Particle Ordered-filter Routing Used in VANET

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Kavitha²,

Regin³

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Wearable Smart Glasses visualises information projected onto the lens, col-lects data over a wireless network, and uses a program to convert it into text or images to be transmitted to the display. This study discovers the usage of the products that will serve the medical industry, and as a result to design differ-ent products according to different uses, so to customize different prices and willingness of the targeted industry and people to purchase while meet the needs of more consumers. Therefore, the feasibility of using smart glasses in surgery was studied in this study, a technology acceptance model was used to analyze people's acceptance of the use of smart glasses in medical system. Mix mode analysis of the data was conducted through the explanatory study and the cross-sectional study, and relevant data were collected using an online questionnaire. The study found that surgeons using smart glasses could im-prove the success rate of surgery.

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Soft Tissues Deformation and Removal Simulation Modeling for Virtual Surgery

Cited by 3 publications

References 0 publications

Optimized Node Clustering based on Received Signal Strength with Particle Ordered-filter Routing Used in VANET

Optimized Node Clustering based on Received Signal Strength with Particle Ordered-filter Routing Used in VANET

Smart Glasses Implementation in Hospitals

A Complementary Relationship between Marketing Theory and Marketing History

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