Ice accretion and performance degradation calculations with LEWICE/NS

High-Performance Marine Craft (HPMC) occupants are currently being investigated for various psychophysical impairments degrading work performance postulating that these deteriorations are related to their occupational exposures. However, scientific evidence for this is lacking and the association of exposure conditions aboard HPMC with adverse health and performance effects is unknown. Therefore, the study estimates the prevalence of musculoskeletal pain (MSP) among HPMC occupants and the association of their work exposure with MSP and performance degradation. It also presents a criterion for evaluating the self-reported exposure severity aboard three different types of mono-hull HPMC; displacement, semi-displacement and planing, on a par with the available standard criteria for objectively measurable exposures. Furthermore, another criterion is proposed to assess the performance-degradation of HPMC occupants based on self-reported fatigue symptoms and MSP. Swedish Coast Guard HPMC occupants were surveyed for MSP, fatigue symptoms as well as for work-related and individual risk indicators using a validated web-based questionnaire. Prevalence of MSP and performance-degradation during the past 12 months were assessed and presented as a percentage of the sample. Associations of exposure conditions aboard HPMC with MSP and performance-capacity were systematically evaluated using multiple logistic regression models and expressed as odds ratio (OR). Prevalence of MSP was 72% among which lower back pain was the most prevalent (46%) followed by neck pain (29%) and shoulder pain (23%) while 29% with degraded performance. Exposure to severe conditions aboard semi-displacement craft was associated with lower back (OR = 2.3) and shoulder (OR = 2.6) pain while severe conditions aboard planing craft with neck pain (OR = 2.3) and performance-degradation (OR = 2.6). MSP is common among Swedish coast guards. Severe exposure conditions aboard HPMC are significantly associated with both MSP and performance-degradation. The spine and shoulders are the most susceptible to work-related MSP among HPMC occupants which should be targeted in work-related preventive and corrective measures.

Download Full-text

Direct growth of graphene on rigid and flexible substrates: progress, applications, and challenges

Chemical Society Reviews ◽

10.1039/c7cs00224f ◽

2017 ◽

Vol 46 (20) ◽

pp. 6276-6300 ◽

Cited By ~ 41

Author(s):

Viet Phuong Pham ◽

Hyeon-Sik Jang ◽

Dongmok Whang ◽

Jae-Young Choi

Keyword(s):

Performance Degradation ◽

Flexible Substrates ◽

Graphene Growth ◽

Transfer Processes ◽

Direct Growth ◽

And Performance ◽

Insulating Substrates

A review of various strategies, including transfer-free direct graphene growth on insulating substrates, which avoids the transfer processes that cause graphene defects, residues, tears and performance degradation in graphene-based functional devices. Applications and challenges of "direct growth of graphene'' in commercialization are discussed and addressed.

Download Full-text

Kernel topic segmentation for informal multi-party meetings and performance degradation caused by insufficient lexicon

2010 IEEE Spoken Language Technology Workshop ◽

10.1109/slt.2010.5700891 ◽

2010 ◽

Author(s):

Ken Sadohara

Keyword(s):

Performance Degradation ◽

Topic Segmentation ◽

And Performance

Download Full-text

Quantitative evaluation on storage reliability of pyrotechnics based on thermodynamic characteristic of dynamite and performance degradation data

Safety and Reliability: Methodology and Applications ◽

10.1201/b17399-253 ◽

2014 ◽

pp. 1865-1868 ◽

Cited By ~ 1

Keyword(s):

Quantitative Evaluation ◽

Thermodynamic Characteristic ◽

Performance Degradation ◽

Degradation Data ◽

And Performance

Download Full-text

Study on Surface Damage and Performance Degradation of Impregnated Catalyst in Dielectric Barrier Discharge Plasma-Assisted Methane Conversion Processes

Journal of Nanoscience and Nanotechnology ◽

10.1166/jnn.2018.14913 ◽

2018 ◽

Vol 18 (2) ◽

pp. 1431-1434

Author(s):

Chung Jun Lee ◽

Dae Hoon Lee ◽

Taegyu Kim

Keyword(s):

Dielectric Barrier Discharge ◽

Methane Conversion ◽

Discharge Plasma ◽

Barrier Discharge ◽

Surface Damage ◽

Performance Degradation ◽

Dielectric Barrier Discharge Plasma ◽

Dielectric Barrier ◽

Barrier Discharge Plasma ◽

And Performance

Download Full-text

Performance Degradation Detection of Virtual Machines Via Passive Measurement and Machine Learning

International Journal of Adaptive Resilient and Autonomic Systems ◽

10.4018/ijaras.2014040103 ◽

2014 ◽

Vol 5 (2) ◽

pp. 40-56 ◽

Cited By ~ 2

Author(s):

Toshiaki Hayashi ◽

Satoru Ohta

Keyword(s):

Machine Learning ◽

Virtual Machines ◽

Performance Degradation ◽

Training Data ◽

Efficient Operation ◽

Traffic Measurement ◽

Passive Measurement ◽

And Performance ◽

Complex Relationships ◽

Heavy Loads

Virtualization is commonly used for efficient operation of servers in datacenters. The autonomic management of virtual machines enhances the advantages of virtualization. Therefore, for the development of such management, it is important to establish a method to accurately detect the performance degradation in virtual machines. This paper proposes a method that detects degradation via passive measurement of traffic exchanged by virtual machines. Using passive traffic measurement is advantageous because it is robust against heavy loads, non-intrusive to the managed machines, and independent of hardware/software platforms. From the measured traffic metrics, performance state is determined by a machine learning technique that algorithmically determines the complex relationships between traffic metrics and performance degradation from training data. The feasibility and effectiveness of the proposed method are confirmed experimentally.

Download Full-text