Programmable FPGA-based 32-channel transmitter for high frame rate ultrasound channel excitation applications

Raj, J. Jean Rossario; Rahman, S.M.K.; Anand, Sandeep

doi:10.1504/ijit.2018.090859

Cited by 2 publications

(2 citation statements)

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“…Zheng et al [1] used CART and MARS to dissect an epidemiological case-control examination of injuries coming about in view of motor vehicle accidents. They also perceived potential causes of danger, all things considered, brought about by the driver situation [10].…”

Section: Literature Surveymentioning

confidence: 99%

“…However every year, numerous vehicles are associated with accidents that cause large number of deaths and injuries. Comprehensively about 1.55 million individuals died in road accidents and around 60 million are injured [1]. Road Accidents are positioned as the ninth most purpose of death on the earth, and without new activities to upgrade road security, accidents will probably ascend to the third place constantly by 2020.…”

Section: Introductionmentioning

confidence: 99%

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Generating Road Accident Prediction Set with Road Accident Data Analysis Using Enhanced Expectation-Maximization Clustering Algorithm and Improved Association Rule Mining

Babu¹,

Tamilselvi²

2019

JESA

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Prediction of Road Accidents has gained importance over the years however road accidents may not be stopped but rather can be controlled. Driver feelings, for example, tragic, sad, and anger can be one purpose behind accidents. In the meantime, weather conditions, for example, climate, traffic conditions, sort of road, health of driver, and speed can likewise be the purposes behind accidents. Big data is a term utilized for vast and complex informational collections for handling as the traditional data mining techniques are incomplete for preparing them. In this paper an Enhanced Expectation-Maximization (EEM) Algorithm is utilized which works dependent on the Gaussian dissemination. In the proposed work the entire dataset is divided into different clusters based on vehicle type and again these groups are separated into sub groups dependent on parameter on each vehicle type. Strong Association Rules using Improved Association Rule Mining (IARM) algorithm are designed for every vehicle class and for each parameter. The Congestion control using Machine Framework (CCMF) and Traffic Congestion Analyzer using Map Reduce TCAMP () algorithms are used for training the machine and to apply each and every association rule on the dataset and accurate prediction set is generated.

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Section: Literature Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Generating Road Accident Prediction Set with Road Accident Data Analysis Using Enhanced Expectation-Maximization Clustering Algorithm and Improved Association Rule Mining

Babu¹,

Tamilselvi²

2019

JESA

View full text Add to dashboard Cite

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Review of Current Simple Ultrasound Hardware Considerations, Designs, and Processing Opportunities

Jonveaux¹,

Schloh

Meng

et al. 2022

Journal of Open Hardware

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Ultrasound is one of the most widely used imaging tools for non-destructive testing (NDT) and non-invasive medical diagnosis. Since its beginnings in the 1950s, ultrasound imaging research has led to innovations such as new sensors, signal processing, and hardware development. After more than fifty years, the field continues to evolve, aided by advances in electronics and digital hardware. However, the field remains underresearched in terms of experimental open-source hardware. An open, flexible, and cost-efficient platform is still needed for many basic medical and testing applications. A platform of this kind would support the efforts of researchers, makers, and device developers in accelerating ultrasound research and development.The aim of this review is to identify literature relevant to the understanding, design, and operation of simple ultrasound devices and to present this body of knowledge in a format that is easily accessible to ultrasound system designers. It also provides a summary of current ultrasound research to introduce readers to trends of interest.We capture design and use considerations from classical and modern instruments. We cover both NDT and medical applications, starting with a review of the design context, followed by a review of existing architectures and analog buildings blocks, followed by a survey of digital options available to support and complement the hardware.

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Programmable FPGA-based 32-channel transmitter for high frame rate ultrasound channel excitation applications

Cited by 2 publications

References 0 publications

Generating Road Accident Prediction Set with Road Accident Data Analysis Using Enhanced Expectation-Maximization Clustering Algorithm and Improved Association Rule Mining

Generating Road Accident Prediction Set with Road Accident Data Analysis Using Enhanced Expectation-Maximization Clustering Algorithm and Improved Association Rule Mining

Review of Current Simple Ultrasound Hardware Considerations, Designs, and Processing Opportunities

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