A Prototype Taxonomy of Training Device Visual Systems

1987 ◽  
Vol 31 (2) ◽  
pp. 238-242
Author(s):  
J. Peter Kincaid ◽  
Dee H. Andrews ◽  
Richard Gilson
Keyword(s):  
Visual System ◽  
State Of The Art ◽  
Video Quality ◽  
General Purpose ◽  
Training Requirements ◽  
Training Requirement ◽  
Computer Scientists ◽  
And Training ◽  
System Characteristics

This paper describes and illustrates an aid (currently in prototype form) to communicate to designers and users of training devices what visual system types are currently available and appropriate for different training requirements. The aid is based on a taxonomy of visual imagery which addresses fidelity, cost and training effectiveness issues. The taxonomy includes a variety of visual scene generations from general purpose microcomputer-based imagery to dedicated state-of-the-art computer systems imagery. The scenes produced by these systems span a spectrum of video quality and costs. The aid, and the taxonomy on which it is based, is intended to help designers and the ultimate users to select relevant visual system characteristics, e.g., matching the visual system design to the training requirement. It is also intended to be useful for interdisciplinary discussion among visual engineers, computer scientists, educational specialists, human factors engineers/psychologists and program analysts. There are follow-up plans to refine the taxonomy and further develop and validate the aid.

Simulation and Training Platform for Self-Propelled Gun Based on Semi-Physical Simulation

2011 ◽  
Vol 204-210 ◽  
pp. 2229-2232
Author(s):  
Li Jun Cao ◽  
Hui Bin Hu ◽  
Jun Qi Qin ◽  
Xin Wen Cao
Keyword(s):  
Physical Simulation ◽  
Development Program ◽  
Training Requirements ◽  
Automatic Mode ◽  
Data Flows ◽  
Simulation And Training ◽  
Fully Automatic ◽  
And Control ◽  
And Training

Aiming at the teaching and training requirements of new equipments, a new kind of military teaching and training paltform for follow-up system of Self-Propelled Gun is put forward. The demand analysis, development program, design of software system and hardware sytem are discussed in detail. The data flows and control processes indicate that this simulation and training platform simulates the mechnical and electrical procedures under semiautomatic and fully-automatic mode completely and vividly. Through operating board, various circumstances and targets can be setted according to training receiver and sujects. Fault setting, detection and maintenance are convenient and easy to observe. This platform has been used in new equipment’s teaching and training and shows good effectiveness.

Cardiology Fellowship Education in the Era of High-density Training, Data Tracking, and Quality Measures

2011 ◽  
Vol 9 (2) ◽  
pp. 99
Author(s):  
Alex J Auseon ◽  
Albert J Kolibash ◽  
◽  
Keyword(s):  
Ohio State University ◽  
Training Data ◽  
State University ◽  
Training Requirements ◽  
Healthcare Environment ◽  
Medical Centers ◽  
Work Hour ◽  
The Ohio State University ◽  
Data Tracking

Background:Educating trainees during cardiology fellowship is a process in constant evolution, with program directors regularly adapting to increasing demands and regulations as they strive to prepare graduates for practice in today’s healthcare environment.Methods and Results:In a 10-year follow-up to a previous manuscript regarding fellowship education, we reviewed the literature regarding the most topical issues facing training programs in 2010, describing our approach at The Ohio State University.Conclusion:In the midst of challenges posed by the increasing complexity of training requirements and documentation, work hour restrictions, and the new definitions of quality and safety, we propose methods of curricula revision and collaboration that may serve as an example to other medical centers.

Objective Video Quality Method Based on Mutual Information and Human Visual System

2012 ◽  
Vol 58 (2) ◽  
pp. 147-152
Author(s):  
Michal Mardiak ◽  
Jaroslav Polec
Keyword(s):  
Mutual Information ◽  
Visual System ◽  
Human Visual System ◽  
Quality Evaluation ◽  
Video Quality ◽  
Evaluation Criteria ◽  
Test Sequence ◽  
Quality Metric ◽  
Two Stages ◽  
Video Quality Metric

Objective Video Quality Method Based on Mutual Information and Human Visual SystemIn this paper we present the objective video quality metric based on mutual information and Human Visual System. The calculation of proposed metric consists of two stages. In the first stage of quality evaluation whole original and test sequence are pre-processed by the Human Visual System. In the second stage we calculate mutual information which has been utilized as the quality evaluation criteria. The mutual information was calculated between the frame from original sequence and the corresponding frame from test sequence. For this testing purpose we choose Foreman video at CIF resolution. To prove reliability of our metric were compared it with some commonly used objective methods for measuring the video quality. The results show that presented objective video quality metric based on mutual information and Human Visual System provides relevant results in comparison with results of other objective methods so it is suitable candidate for measuring the video quality.

Pendayagunaan Sampah Menjadi Produk Kerajinan

2017 ◽  
Vol 17 (1) ◽  
pp. 83
Author(s):  
Nur Fatoni ◽  
Rinaldy Imanuddin ◽  
Ahmad Ridho Darmawan
Keyword(s):  
Waste Management ◽  
Raw Materials ◽  
Economic Value ◽  
Waste Materials ◽  
Waste Collection ◽  
Garbage Disposal ◽  
Waste Separation ◽  
And Training

Waste management is still defined as limited to collection, transportation and garbage disposal. The follow-up of the meaning is the provision of facilities such as garbage bins, garbage trucks and waste collection land. Waste management has not included waste separation. Segregation of waste can minimize the amount of waste that must be discharged to the final place. Segregation of waste can supply recyclable raw materials and handicrafts made from garbage. The manufacture of handicraft products from garbage is still local and requires socialization and training. It is needed to increase the number of craftsmen and garbage absorption on the crafters. Through careful socialization and training, citizens' awareness of waste management becomes advanced by making handicrafts of economic value from waste materials.

scholarly journals Fuzzy-Based Quality Adaptation Algorithm for Improving QoE from MPEG-DASH Video

2021 ◽  
Vol 11 (11) ◽  
pp. 5270
Author(s):  
Waqas ur Rahman ◽  
Md Delowar Hossain ◽  
Eui-Nam Huh
Keyword(s):  
State Of The Art ◽  
Video Quality ◽  
Buffer Size ◽  
Bandwidth Utilization ◽  
Adaptation Algorithm ◽  
Control Laws ◽  
Quality Video ◽  
Video Player ◽  
High Quality Video ◽  
Abr Algorithm

Video clients employ HTTP-based adaptive bitrate (ABR) algorithms to optimize users’ quality of experience (QoE). ABR algorithms adopt video quality based on the network conditions during playback. The existing state-of-the-art ABR algorithms ignore the fact that video streaming services deploy segment durations differently in different services, and HTTP clients offer distinct buffer sizes. The existing ABR algorithms use fixed control laws and are designed with predefined client/server settings. As a result, adaptation algorithms fail to achieve optimal performance across a variety of video client settings and QoE objectives. We propose a buffer- and segment-aware fuzzy-based ABR algorithm that selects video rates for future video segments based on segment duration and the client’s buffer size in addition to throughput and playback buffer level. We demonstrate that the proposed algorithm guarantees high QoE across various video player settings and video content characteristics. The proposed algorithm efficiently utilizes bandwidth in order to download high-quality video segments and to guarantee high QoE. The results from our experiments reveal that the proposed adaptation algorithm outperforms state-of-the-art algorithms, providing improvements in average video rate, QoE, and bandwidth utilization, respectively, of 5% to 18%, about 13% to 30%, and up to 45%.

scholarly journals The Role of Surgery in Lung Cancer Treatment: Present Indications and Future Perspectives—State of the Art

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3711
Author(s):  
François Montagne ◽  
Florian Guisier ◽  
Nicolas Venissac ◽  
Jean-Marc Baste
Keyword(s):  
Lung Cancer ◽  
Residual Disease ◽  
State Of The Art ◽  
Locally Advanced ◽  
Small Cell Lung ◽  
Lung Cancers ◽  
Screening Programs ◽  
Systemic Therapies

Non-small cell lung cancers (NSCLC) are different today, due to the increased use of screening programs and of innovative systemic therapies, leading to the diagnosis of earlier and pre-invasive tumors, and of more advanced and controlled metastatic tumors. Surgery for NSCLC remains the cornerstone treatment when it can be performed. The role of surgery and surgeons has also evolved because surgeons not only perform the initial curative lung cancer resection but they also accompany and follow-up patients from pre-operative rehabilitation, to treatment for recurrences. Surgery is personalized, according to cancer characteristics, including cancer extensions, from pre-invasive and local tumors to locally advanced, metastatic disease, or residual disease after medical treatment, anticipating recurrences, and patients’ characteristics. Surgical management is constantly evolving to offer the best oncologic resection adapted to each NSCLC stage. Today, NSCLC can be considered as a chronic disease and surgery is a valuable tool for the diagnosis and treatment of recurrences, and in palliative conditions to relieve dyspnea and improve patients’ comfort.

scholarly journals Synthetic Experiences for Accelerating DQN Performance in Discrete Non-Deterministic Environments

Algorithms ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 226
Author(s):  
Wenzel Pilar von Pilchau ◽  
Anthony Stein ◽  
Jörg Hähner
Keyword(s):  
Reinforcement Learning ◽  
State Of The Art ◽  
Learning Algorithms ◽  
Weighted Average ◽  
Up States ◽  
Experience Replay

State-of-the-art Deep Reinforcement Learning Algorithms such as DQN and DDPG use the concept of a replay buffer called Experience Replay. The default usage contains only the experiences that have been gathered over the runtime. We propose a method called Interpolated Experience Replay that uses stored (real) transitions to create synthetic ones to assist the learner. In this first approach to this field, we limit ourselves to discrete and non-deterministic environments and use a simple equally weighted average of the reward in combination with observed follow-up states. We could demonstrate a significantly improved overall mean average in comparison to a DQN network with vanilla Experience Replay on the discrete and non-deterministic FrozenLake8x8-v0 environment.

scholarly journals Implementation of an Antimicrobial Stewardship Program in Five Colombian Hospitals in 2018

2020 ◽  
Vol 41 (S1) ◽  
pp. s273-s273
Author(s):  
Christian Pallares ◽  
María Virginia Villegas Botero
Keyword(s):  
Infection Control ◽  
Antimicrobial Stewardship ◽  
Control Strategies ◽  
Education And Training ◽  
Public Hospitals ◽  
International Standards ◽  
International Consensus ◽  
Stewardship Program ◽  
And Training

Background: More than 50% of antibiotics used in hospitals are unnecessary or inappropriate. The antimicrobial stewardship programs (ASPs) are coordinated efforts to promote the rational and effective use of antibiotics including appropriate selection, dosage, administration, and duration of therapy. When an ASP integrates infection control strategies, it is possible to decrease the transmission of multidrug-resistant pathogens. Methods: In 2018, 5 Colombian hospitals were selected to implement an ASP. Private and public hospitals from different cities were included in the study, ranging from 200 to 700 beds. Our team, consisting of an infectious disease and hospital epidemiologist, visited each hospital to establish the baseline of their ASP program, to define the ASP outcomes according to each hospital’s needs, and to set goals for ASP outcomes in the following 6–12 months. Follow-up was scheduled every 2 months through Skype video conference. The baseline diagnosis or preintervention evaluation was done using a tool adapted from previous reports (ie, international consensus and The Joint Commission international standards). Documentation related to ASPs, such as microbiological profiles, antimicrobial guidelines (AMG) and indicators for the adherence to them as well as antimicrobial resistance (AMR) prevention through protocols, were written and/or updated. Prevention and infection control requirements and protocols were also updated, and cleaning and antiseptic policies were created. Training in rational use of antibiotic, infection control and prevention, and cleaning and disinfection were carried out with the healthcare workers in each institution. Results: Before the intervention, the development of the ASP according to the tool was 27% (range, 5%–47%). The lowest institutional scores were the item related to ASP feedback and reports (11% on average), followed by education and training (14%), defined ASP responsibilities (23%), ASP function according to priorities (26%), and AMR surveillance (27%). After the intervention, the ASP development increased to 57% (range, 39%–81%) in the hospitals. The highest scores achieved were for education and training (90%), surveillance (75%), and the activities of the infection control committee (70%). The items that made the greatest contribution to ASP development were the individual antibiogram, including the bacteria resistance profile, and the development of the AMG based on the local epidemiology in each hospital. Conclusions: The implementation of an ASP should include training and education as well as defining outcomes according to the hospital’s needs. Once the strategy is implemented, follow-up is key to achieving the goals.Funding: NoneDisclosures: None

scholarly journals An Efficient and General Framework for Aerial Point Cloud Classification in Urban Scenarios

2021 ◽  
Vol 13 (10) ◽  
pp. 1985
Author(s):  
Emre Özdemir ◽  
Fabio Remondino ◽  
Alessandro Golkar
Keyword(s):  
Point Cloud ◽  
State Of The Art ◽  
Computational Power ◽  
Specific Data ◽  
Cloud Processing ◽  
Point Cloud Processing ◽  
Current State ◽  
Data Source ◽  
Point Cloud Classification ◽  
And Training

With recent advances in technologies, deep learning is being applied more and more to different tasks. In particular, point cloud processing and classification have been studied for a while now, with various methods developed. Some of the available classification approaches are based on specific data source, like LiDAR, while others are focused on specific scenarios, like indoor. A general major issue is the computational efficiency (in terms of power consumption, memory requirement, and training/inference time). In this study, we propose an efficient framework (named TONIC) that can work with any kind of aerial data source (LiDAR or photogrammetry) and does not require high computational power while achieving accuracy on par with the current state of the art methods. We also test our framework for its generalization ability, showing capabilities to learn from one dataset and predict on unseen aerial scenarios.

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