ACCOUNTABILITY AND THE INSPECTION PROCESS

2003 ◽  
pp. 141-163
Keyword(s):  
Inspection Process

Auditors' Perceptions of the PCAOB Inspection Process

2015 ◽  
Author(s):  
Lindsay Johnson ◽  
Marsha B. Keune ◽  
Jennifer Winchel
Keyword(s):  
Inspection Process

Stroke Lesion Segmentation and Analysis using Entropy/Otsu’s Function – A Study with Social Group Optimization

2019 ◽  
Vol 14 (4) ◽  
pp. 305-313 ◽  
Author(s):  
Suresh Chandra Satapathy ◽  
Steven Lawrence Fernandes ◽  
Hong Lin
Keyword(s):  
Social Group ◽  
Research Work ◽  
Lesion Segmentation ◽  
Permanent Disability ◽  
Brain Abnormality ◽  
Inspection Process ◽  
Stroke Lesion ◽  
Social Group Optimization ◽  
The Brain ◽  
Otsu’S Function

Background: Stroke is one of the major causes for the momentary/permanent disability in the human community. Usually, stroke will originate in the brain section because of the neurological deficit and this kind of brain abnormality can be predicted by scrutinizing the periphery of brain region. Magnetic Resonance Image (MRI) is the extensively considered imaging procedure to record the interior sections of the brain to support visual inspection process. Objective: In the proposed work, a semi-automated examination procedure is proposed to inspect the province and the severity of the stroke lesion using the MRI. associations while known disease-lncRNA associations are required only. Method: Recently discovered heuristic approach called the Social Group Optimization (SGO) algorithm is considered to pre-process the test image based on a chosen image multi-thresholding procedure. Later, a chosen segmentation procedure is considered in the post-processing section to mine the stroke lesion from the pre-processed image. Results: In this paper, the pre-processing work is executed with the well known thresholding approaches, such as Shannon’s entropy, Kapur’s entropy and Otsu’s function. Similarly, the postprocessing task is executed using most successful procedures, such as level set, active contour and watershed algorithm. Conclusion: The proposed procedure is experimentally inspected using the benchmark brain stroke database known as Ischemic Stroke Lesion Segmentation (ISLES 2015) challenge database. The results of this experimental work authenticates that, Shannon’s approach along with the LS segmentation offers superior average values compared with the other approaches considered in this research work.</P>

Flight Path Planning of Robot for Environmental Measurement Considering Accuracy Assurance

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 90-92
Author(s):  
Kae Doki ◽  
Yuki Funabora ◽  
Shinji Doki
Keyword(s):  
Large Scale ◽  
Highway Bridge ◽  
Climate Research ◽  
Small Uav ◽  
Inspection Process ◽  
Aerial View ◽  
Aerial Vehicle ◽  
Infrastructure Inspection ◽  
Institute Of Technology ◽  
Small Team

Every day we are seeing an increasing number of robots being employed in our day-to-day lives. They are working in factories, cleaning our houses and may soon be chauffeuring us around in vehicles. The affordability of drones too has come down and now it is conceivable for most anyone to own a sophisticated unmanned aerial vehicle (UAV). While fun to fly, these devices also represent powerful new tools for several industries. Anytime an aerial view is needed for a planning, surveillance or surveying, for example, a UAV can be deployed. Further still, equipping these vehicles with an array of sensors, for climate research or mapping, increases their capability even more. This gives companies, governments or researchers a cheap and safe way to collect vast amounts of data and complete tasks in remote or dangerous areas that were once impossible to reach. One area UAVs are proving to be particularly useful is infrastructure inspection. In countries all over the world large scale infrastructure projects like dams and bridges are ageing and in need of upkeep. Identifying which ones and exactly where they are in need of patching is a huge undertaking. Not only can this work be dangerous, requiring trained inspectors to climb these megaprojects, it is incredibly time consuming and costly. Enter the UAVs. With a fleet of specially equipped UAVs and a small team piloting them and interpreting the data they bring back the speed and safety of this work increases exponentially. The promise of UAVs to overturn the infrastructure inspection process is enticing, but there remain several obstacles to overcome. One is achieving the fine level of control and positioning required to navigate the robots around 3D structures for inspection. One can imagine that piloting a small UAV underneath a huge highway bridge without missing a single small crack is quite difficult, especially when the operators are safely on the ground hundreds of meters away. To do this knowing exactly where the vehicle is in space becomes a critical variable. The job can be made even easier if a flight plan based on set waypoints can be pre-programmed and followed autonomously by the UAV. It is exactly this problem that Dr Kae Doki from the Department of Electrical Engineering at Aichi Institute of Technology, and collaborators are focused on solving.

Road Inspection Scheduling Model Using Constraint Programming

2013 ◽  
Vol 357-360 ◽  
pp. 2720-2725
Author(s):  
Hsi Sung Wang ◽  
Shu Shun Liu
Keyword(s):  
Constraint Programming ◽  
Route Planning ◽  
Inspection Time ◽  
Time Consumption ◽  
The Road ◽  
Scheduling Model ◽  
Inspection Process ◽  
Road Inspection ◽  
Solution Mechanism ◽  
Inspection Scheduling

The research objective is to support the maintenance unit with route planning prior to performing road inspection, the model is based on VRP problem settings, and with the addition of compulsory road sections and allowing shortcuts through small pathways during the inspection to reduce time consumption. By employing Constraint Programming (CP) technology and optimization solution mechanism to construct inspection scheduling model, and the objective is to minimize time consumption of the road inspection. The province and county roads in Douliou city are chosen as examples for analysis, plans out best routes for inspection process, and also displays all the road sections passed by inspection vehicle. Thus this model can be used as reference to support the authorities to efficiently allocate resources for the inspection process, and achieve the objective as shorten the inspection time consumption.

scholarly journals The ‘regulated death’: a documentary analysis of the regulation and inspection of dying and death in English care homes for older people

2007 ◽  
Vol 27 (2) ◽  
pp. 233-247 ◽  
Author(s):  
KATHERINE FROGGATT
Keyword(s):  
Older People ◽  
Best Practice ◽  
Quality Care ◽  
Care Homes ◽  
National Standard ◽  
Good Death ◽  
Term Care ◽  
Documentary Analysis ◽  
Death Event ◽  
Inspection Process

In England, processes of regulation and inspection have been established to ensure that older people living in long-term care settings receive quality care. This paper describes how dying and death in care homes for older people is regulated and inspected. A documentary analysis was undertaken of the standard that addresses dying and death in the 2001 Care Homes for Older People: National Minimum Standards. Present in the standard is a ‘good death’ template drawn from constructions of best practice in palliative care. The way in which this national standard is enacted in the inspection process is described using a content analysis of the inspection reports from 226 care homes for older people. These present a narrow focus on dying and death, one that emphasises the older person's wishes and the degree of adherence to policies and procedures concerned with the dying and death event. A regulated death attenuates the ‘good death’ template and reflects both the inspection process and capabilities of the residents of care homes. If the regulation and inspection process is to integrate dying with living, a broader conception and regime of inspection is required. Only then will end-of-life care be provided that meets the diverse needs of older people who live in care homes.

scholarly journals Collaborative Virtual Environment to Simulate on-the-Job Aircraft Inspection Training Aided by Hand Pointing

2005 ◽  
Vol 49 (25) ◽  
pp. 2216-2220
Author(s):  
S. Sadasivan ◽  
R. Rele ◽  
J. S. Greenstein ◽  
A. K. Gramopadhye ◽  
J. Masters ◽  
...  
Keyword(s):  
Virtual Environment ◽  
Visual Inspection ◽  
Training Environment ◽  
Virtual Training ◽  
Collaborative Virtual Environment ◽  
Feedback Training ◽  
Inspection Process ◽  
Safety And Reliability ◽  
The One ◽  
Inspection Performance

The human inspector performing visual inspection of an aircraft is the backbone of the aircraft inspection process, a vital element in assuring safety and reliability of an air transportation system. Training is an effective strategy for improving their inspection performance. A drawback of present-day on-the-job (OJT) training provided to aircraft inspectors is the limited exposure to different defect types. Previous studies have shown offline feedback training using virtual reality (VR) simulators to be effective in improving visual inspection performance. This research aims at combining the advantages of VR technology that includes exposure to a wide variety of defects and the one-on-one tutoring approach of OJT by implementing a collaborative virtual training environment. In an immersive collaborative virtual environment (CVE), avatars are used to represent the co-participants. In a CVE, information of where the trainer is pointing can be provided to a trainee as visual deictic reference (VDR). This study evaluates the effectiveness of simulating on-the-job training in a CVE for aircraft inspection training, providing VDR slaved to a 3D mouse used by the trainer for pointing. The results of this study show that the training was effective in improving inspection performance.

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