New Applications of the Annual Fiscal Accounting Analysis at the Risk Assessment

State-of-the-Art Wearable Sensors and Possibilities for Radar in Fall Prevention

Sensors ◽

10.3390/s21206836 ◽

2021 ◽

Vol 21 (20) ◽

pp. 6836

Author(s):

José Gabriel Argañarás ◽

Yan Tat Wong ◽

Rezaul Begg ◽

Nemai Chandra Karmakar

Keyword(s):

Risk Assessment ◽

Fall Prevention ◽

Wearable Sensors ◽

Machine Learning Algorithms ◽

Gait Parameters ◽

Prevention Interventions ◽

New Applications ◽

Gait Monitoring ◽

Application Specific

Radar technology is constantly evolving, and new applications are arising, particularly for the millimeter wave bands. A novel application for radar is gait monitoring for fall prevention, which may play a key role in maintaining the quality of life of people as they age. Alarming statistics indicate that one in three adults aged 65 years or older will experience a fall every year. A review of the sensors used for gait analysis and their applications to technology-based fall prevention interventions was conducted, focusing on wearable devices and radar technology. Knowledge gaps were identified, such as wearable radar development, application specific signal processing and the use of machine learning algorithms for classification and risk assessment. Fall prevention through gait monitoring in the natural environment presents significant opportunities for further research. Wearable radar could be useful for measuring gait parameters and performing fall risk-assessment using statistical methods, and could also be used to monitor obstacles in real-time.

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Statistical Risk Assessment: Old Problems and New Applications

Crime & Delinquency ◽

10.1177/0011128705281748 ◽

2006 ◽

Vol 52 (1) ◽

pp. 178-200 ◽

Cited By ~ 127

Author(s):

Stephen D. Gottfredson ◽

Laura J. Moriarty

Keyword(s):

Risk Assessment ◽

New Applications ◽

Statistical Risk

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Artificial intelligence in dermatology

Journal of Skin and Sexually Transmitted Diseases ◽

10.25259/jsstd_49_2020 ◽

2020 ◽

Vol 0 ◽

pp. 1-4

Author(s):

Amitha Abraham ◽

K. Sobhanakumari ◽

Athira Mohan

Keyword(s):

Artificial Intelligence ◽

Risk Assessment ◽

Medical Care ◽

Implementation Barriers ◽

New Applications

Artificial intelligence (AI) refers to the ability of a machine to communicate, reason, and operate independently. There is a need to understand this technology’s progress for future medical care. AI has many applications in the field of medicine, but its use in dermatology is comparatively new. Applications that commonly analyse and classify images and tools like risk assessment calculators are available. Even though many applications exist, the important implementation barriers inclue difficulty in standardization, interpretability, and acceptance by patient and doctor.

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Designing For Sabotage

Mechanical Engineering ◽

10.1115/1.2002-sep-1 ◽

2002 ◽

Vol 124 (09) ◽

pp. 40-44

Author(s):

Emily M. Smith

Keyword(s):

Risk Factors ◽

Risk Assessment ◽

Scientific Data ◽

Terrorist Organizations ◽

Engineering Level ◽

New Applications ◽

Standard Risk ◽

The Way ◽

Technology Advances

This article focuses on a method that engineers have used to make designs failsafe. Safety has always been implicit in design, but without any scientific data to lead the way in countering terrorism, engineers will have to figure out who decides what the terrorists are going to do, and what loads are needed. Gaining an understanding of terrorist organizations combined with some standard risk factors will help engineers determine where counterterrorism applications must be made. Staying ahead of terrorism, on an engineering level, will require engineers to perform continual risk assessment as technology advances, and new applications for existing technology are practiced.

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1250-kilovolt scanning transmission electron microscope

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100113007 ◽

1984 ◽

Vol 42 ◽

pp. 624-625

Author(s):

T. Imura ◽

S. Maruse ◽

K. Mihama ◽

M. Iseki ◽

M. Hibino ◽

...

Keyword(s):

High Voltage ◽

Electron Probe ◽

Scanning Transmission Electron Microscope ◽

Pressure Vessels ◽

Practical Applications ◽

Voltage Generator ◽

Transmission Electron ◽

Scanning Transmission ◽

New Applications ◽

High Voltage Generator

Ultra high voltage STEM has many inherent technical advantages over CTEM. These advantages include better signal detectability and signal processing capability. It is hoped that it will explore some new applications which were previously not possible. Conventional STEM (including CTEM with STEM attachment), however, has been unable to provide these inherent advantages due to insufficient performance and engineering problems. Recently we have developed a new 1250 kV STEM and completed installation at Nagoya University in Japan. It has been designed to break through conventional engineering limitations and bring about theoretical advantage in practical applications.In the design of this instrument, we exercised maximum care in providing a stable electron probe. A high voltage generator and an accelerator are housed in two separate pressure vessels and they are connected with a high voltage resistor cable.(Fig. 1) This design minimized induction generated from the high voltage generator, which is a high frequency Cockcroft-Walton type, being transmitted to the electron probe.

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