scholarly journals Search and testing of robotic solutions for cleaning and condition monitoring at Prirazlomnaya OIRFP

2021 ◽  
Vol 6 (3) ◽  
pp. 152-158
Author(s):  
Alexander I. Puchkov ◽  
Denis V. Okunev ◽  
Roman O. Belousov ◽  
Alexander Yu. Parshikov ◽  
Nadezhda I. Mazhorova
Keyword(s):  
Scientific Knowledge ◽  
Research Area ◽  
Water Area ◽  
Empirical Method ◽  
Pilot Testing ◽  
Extensive Analysis ◽  
Hazardous Area ◽  
High Level ◽  
Evaluation Matrix ◽  
Pilot Tests

Background. This article provides an overview and testing of existing robotic solutions, an understanding of the level of technological accessibility for the research area. A robotic solution is a device, mechanism or method for carrying out work with a high level of autonomy and with minimal human involvement in work in a hazardous area. In this case, we are talking about remote-controlled solutions, as well as completely self-managed solutions. Aim. The purpose of the study is to analyze the design and regulatory documentation that regulates the study area of work, to identify the main technical and legislative barriers and restrictions on the use of robotic solutions, as well as to conduct tests in Kingston boxes of the Prirazlomnaya OIRFP. Materials and methods. In this study, using rational-logical methods of scientific knowledge and the empirical method, namely interviewing experts in the field of robotization and maritime law, it was possible to determine and structure the information received. Results. The implementation of this goal made it necessary to analyze the market for various robotic means of local cleaning and inspection, to form a list of the most promising solutions, to rank solutions based on the evaluation matrix, to conduct technical and competitive negotiations with manufacturers on the topic of readiness to participate in pilot testing at the Prirazlomnaya OIRFP. Conclusions. In the course of this project, an extensive analysis of the market of robotic solutions was carried out, pilot tests were carried out, an act was received from RMRS and proved in practice during pilot testing in Kingston boxes with water intake pipelines and in the water area of the Kola Bay, a hypothesis about the applicability and feasibility, the usefulness of using remotely controlled underwater of uninhabited vehicles in the scope of the survey at the Prirazlomnaya OIRFP.

NMDAR PAMs: Multiple Chemotypes for Multiple Binding Sites

2019 ◽  
Vol 19 (24) ◽  
pp. 2239-2253 ◽  
Author(s):  
Paul J. Goldsmith
Keyword(s):  
Binding Sites ◽  
Receptor Activation ◽  
Research Area ◽  
Allosteric Modulators ◽  
Nonselective Cation Channels ◽  
Multiple Binding Sites ◽  
Multiple Binding ◽  
Excitatory Neurotransmission ◽  
Psychiatric Conditions ◽  
High Level

The N-methyl-D-aspartate receptor (NMDAR) is a member of the ionotropic glutamate receptor (iGluR) family that plays a crucial role in brain signalling and development. NMDARs are nonselective cation channels that are involved with the propagation of excitatory neurotransmission signals with important effects on synaptic plasticity. NMDARs are functionally and structurally complex receptors, they exist as a family of subtypes each with its own unique pharmacological properties. Their implication in a variety of neurological and psychiatric conditions means they have been a focus of research for many decades. Disruption of NMDAR-related signalling is known to adversely affect higherorder cognitive functions (e.g. learning and memory) and the search for molecules that can recover (or even enhance) receptor output is a current strategy for CNS drug discovery. A number of positive allosteric modulators (PAMs) that specifically attempt to overcome NMDAR hypofunction have been discovered. They include various chemotypes that have been found to bind to several different binding sites within the receptor. The heterogeneity of chemotype, binding site and NMDAR subtype provide a broad landscape of ongoing opportunities to uncover new features of NMDAR pharmacology. Research on NMDARs continues to provide novel mechanistic insights into receptor activation and this review will provide a high-level overview of the research area and discuss the various chemical classes of PAMs discovered so far.

scholarly journals Bibliometric analysis of the development of nanoscience research in South Africa

2017 ◽  
Vol 113 (11/12) ◽  
Author(s):  
Xolani Makhoba ◽  
Anastassios Pouris
Keyword(s):  
South African ◽  
Web Of Science ◽  
Research Area ◽  
Public Institutions ◽  
Gauteng Province ◽  
Research Areas ◽  
The Usa ◽  
Institutional Profile ◽  
High Level ◽  
The University

Nanotechnology is a fast-growing scientific research area internationally and is classified as an important emerging research area. In response to this importance, South African researchers and institutions have also increased their efforts in this area. A bibliometric study of articles as indexed in the Web of Science considered the development in this field with respect to the growth in literature, collaboration profile and the research areas that are more within the country’s context. We also looked at public institutions that are more active in this arena, including government policy considerations as guided by the National Nanotechnology Strategy launched in 2005. We found that the number of nanotechnology publications have shown a remarkable growth ever since the launch of the strategy. Articles on nanotechnology have been published in numerous journals, with Electrochimica Acta publishing the most, followed by Journal of Nanoscience and Nanotechnology. These publications fall within the traditional domains of chemistry and physics. In terms of the institutional profile and based on publication outputs over the period reviewed, the Council for Scientific and Industrial Research is a leading producer of publications in nanotechnology, followed by the University of the Witwatersrand – institutions that are both based in the Gauteng Province. There is a high level of international collaboration with different countries within this field – the most productive collaboration is with India, followed by the USA and China, as measured through co-authorship.

scholarly journals Re-imagining Research: A Bold Call, but Bold Enough? Comment on "Experience of Health Leadership in Partnering with University-Based Researchers in Canada: A Call to ‘Re-Imagine’ Research"

2019 ◽  
Author(s):  
Bev J. Holmes
Keyword(s):  
Health System ◽  
Health Systems ◽  
Research Area ◽  
Evidence Use ◽  
Health System Change ◽  
Health Leadership ◽  
System Leaders ◽  
Change Projects ◽  
High Level ◽  
Partnership Models

Many articles over the last two decades have enumerated barriers to and facilitators for evidence use in health systems. Bowen et al’s article "Response to Experience of Health Leadership in Partnering with University-Based Researchers: A Call to ‘Re-imagine Research’" furthers the debate by focusing on an under-explored research area (health system design and health service organization) with an under-studied stakeholder group (health system leaders), by undertaking a broad program of research on partnerships, and, based on participant responses, by calling for re-imagining of research itself. In response to the claim that the research community is not providing expertise to this pressing issue in the health system, I provide four high level reasons: partnerships mean different things to different people, our language does not reflect the reality we want, our health systems have yet to fully embrace evidence use, and complexity is easier to talk about than act within. Bowen et al’s study, and their broader program of research, is well-placed to explore these issues further, helping identify appropriate researcher-health system leader partnership models for various health system change projects. Given the positive shifts identified in this study, and the knowledge that participants demonstrate about what needs to change, the time is right for bold action, re-imagining not only research, but healthcare, such that the production and use of evidence for better health is embraced and supported.

A Visual Saliency Detection Approach by Fusing Low-Level Priors With High-Level Priors

2019 ◽  
Vol 9 (3) ◽  
pp. 23-37
Author(s):  
Monika Singh ◽  
Anand Singh Singh Jalal ◽  
Ruchira Manke ◽  
Aamir Khan
Keyword(s):  
Minimum Distance ◽  
Saliency Detection ◽  
Visual Saliency ◽  
Research Area ◽  
Experimental Results ◽  
Low Level ◽  
Detection Approach ◽  
Art Methods ◽  
High Level ◽  
Visual Saliency Detection

Saliency detection has always been a challenging and interesting research area for researchers. The existing methodologies either focus on foreground regions or background regions of an image by computing low-level features. However, considering only low-level features did not produce worthy results. In this paper, low-level features, which are extracted using super pixels, are embodied with high-level priors. The background features are assumed as the low-level prior due to the similarity in the background areas and boundary of an image which are interconnected and have minimum distance in between them. High-level priors such as location, color, and semantic prior are incorporated with low-level prior to spotlight the salient area in the image. The experimental results illustrate that the proposed approach outperform the sate-of-the-art methods.

Architectural Modelling of Cyber Physical Systems Using UML

2019 ◽  
Vol 1 (2) ◽  
pp. 19-37
Author(s):  
K. Sridhar Patnaik ◽  
Itu Snigdh
Keyword(s):  
System Modeling ◽  
Unified Modeling Language ◽  
Research Area ◽  
Cyber Physical Systems ◽  
Engineering Systems ◽  
Physical Systems ◽  
Unified Modeling ◽  
System Verification ◽  
High Level ◽  
Modeling Representation

Cyber-physical systems (CPS) is an exciting emerging research area that has drawn the attention of many researchers. However, the difficulties of computing and physical paradigm introduce a lot of trials while developing CPS, such as incorporation of heterogeneous physical entities, system verification, security assurance, and so on. A common or unified architecture plays an important role in the process of CPS design. This article introduces the architectural modeling representation of CPS. The layers of models are integrated from high level to lower level to get the general Meta model. Architecture captures the essential attributes of a CPS. Despite the rapid growth in IoT and CPS a general principled modeling approach for the systematic development of these new engineering systems is still missing. System modeling is one of the important aspects of developing abstract models of a system wherein, each model represents a different view or perspective of that system. With Unified Modeling Language (UML), the graphical analogy of such complex systems can be successfully presented.

Adaptive Indexing for Semantic Music Information Retrieval

2011 ◽  
pp. 287-300
Author(s):  
Clement H.C. Leung ◽  
Jiming Liu ◽  
Alfredo Milani ◽  
Alice W.S. Chan
Keyword(s):  
Information Retrieval ◽  
Music Information Retrieval ◽  
Research Area ◽  
Multimedia Databases ◽  
Music Retrieval ◽  
Digital Devices ◽  
Retrieval Systems ◽  
Music Information ◽  
High Level ◽  
Storage Technologies

With the rapid advancement of music compression and storage technologies, digital music can be easily created, shared and distributed, not only in computers, but also in numerous portable digital devices. Music often constitutes a key component in many multimedia databases, and as they grow in size and complexity, their meaningful search and retrieval become important and necessary. Music Information Retrieval (MIR) is a relatively young and challenging research area started since the late 1990s. Although some form of music retrieval is available on the Internet, these tend to be inflexible and have significant limitations. Currently, most of these music retrieval systems only rely on low-level music information contents (e.g., metadata, album title, lyrics, etc.), and in this chapter, the authors present an adaptive indexing approach to search and discover music information. Experimental results show that through such an indexing architecture, high-level music semantics may be incorporated into search strategies.

scholarly journals Multiple Resolution Modeling: A Particular Case of Distributed Simulation

Information ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 469
Author(s):  
Mario Marin ◽  
Gene Lee ◽  
Jaeho Kim
Keyword(s):  
Distributed Simulation ◽  
Research Area ◽  
Simulation System ◽  
Lessons Learned ◽  
Point Of View ◽  
High Level Architecture ◽  
Unique Form ◽  
The Future ◽  
New Research ◽  
High Level

Multiple resolution modeling (MRM) is the future of distributed simulation. This article describes different definitions and notions related to MRM. MRM is a relatively new research area, and there is a demand for simulator integration from a modeling complexity point of view. This article also analyzes a taxonomy based on the experience of the researchers in detail. Finally, an example that uses the high-level architecture (HLA) is explained to illustrate the above definitions and, in particular, to look at the problems that are common to these distributed simulation configurations. The steps required to build an MRM distributed simulation system are introduced. The conclusions describe the lessons learned for this unique form of distributed simulation.

scholarly journals Combined global and local semantic feature–based image retrieval analysis with interactive feedback

2019 ◽  
Vol 53 (1-2) ◽  
pp. 3-17
Author(s):  
A Anandh ◽  
K Mala ◽  
R Suresh Babu
Keyword(s):  
Wavelet Transform ◽  
Image Retrieval ◽  
Research Work ◽  
Research Area ◽  
Content Based Image Retrieval ◽  
Image Retrieval System ◽  
False Image ◽  
Active Research ◽  
High Level ◽  
Interactive Feedback

Nowadays, user expects image retrieval systems using a large database as an active research area for the investigators. Generally, content-based image retrieval system retrieves the images based on the low-level features, high-level features, or the combination of both. Content-based image retrieval results can be improved by considering various features like directionality, contrast, coarseness, busyness, local binary pattern, and local tetra pattern with modified binary wavelet transform. In this research work, appropriate features are identified, applied and results are validated against existing systems. Modified binary wavelet transform is a modified form of binary wavelet transform and this methodology produced more similar retrieval images. The proposed system also combines the interactive feedback to retrieve the user expected results by addressing the issues of semantic gap. The quantitative evaluations such as average retrieval rate, false image acceptation ratio, and false image rejection ratio are evaluated to ensure the user expected results of the system. In addition to that, precision and recall are evaluated from the proposed system against the existing system results. When compared with the existing content-based image retrieval methods, the proposed approach provides better retrieval accuracy.

scholarly journals Water Areas Segmentation from Remote Sensing Images Using a Separable Residual SegNet Network

2020 ◽  
Vol 9 (4) ◽  
pp. 256 ◽  
Author(s):  
Liguo Weng ◽  
Yiming Xu ◽  
Min Xia ◽  
Yonghong Zhang ◽  
Jia Liu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Feature Extraction ◽  
Spatial Information ◽  
Global Climate ◽  
Semantic Segmentation ◽  
Water Area ◽  
Remote Sensing Images ◽  
The One ◽  
High Level ◽  
Almost All

Changes on lakes and rivers are of great significance for the study of global climate change. Accurate segmentation of lakes and rivers is critical to the study of their changes. However, traditional water area segmentation methods almost all share the following deficiencies: high computational requirements, poor generalization performance, and low extraction accuracy. In recent years, semantic segmentation algorithms based on deep learning have been emerging. Addressing problems associated to a very large number of parameters, low accuracy, and network degradation during training process, this paper proposes a separable residual SegNet (SR-SegNet) to perform the water area segmentation using remote sensing images. On the one hand, without compromising the ability of feature extraction, the problem of network degradation is alleviated by adding modified residual blocks into the encoder, the number of parameters is limited by introducing depthwise separable convolutions, and the ability of feature extraction is improved by using dilated convolutions to expand the receptive field. On the other hand, SR-SegNet removes the convolution layers with relatively more convolution kernels in the encoding stage, and uses the cascading method to fuse the low-level and high-level features of the image. As a result, the whole network can obtain more spatial information. Experimental results show that the proposed method exhibits significant improvements over several traditional methods, including FCN, DeconvNet, and SegNet.

Creating a Ten-Year Science and Innovation Framework for the UK

2006 ◽  
Vol 20 (3) ◽  
pp. 175-181
Author(s):  
Edward F. Crawley ◽  
Suzanne B. Greenwald
Keyword(s):  
Public Service ◽  
Scientific Knowledge ◽  
Knowledge System ◽  
Goods And Services ◽  
Scientific Innovation ◽  
End Products ◽  
Knowledge Intensive ◽  
The Uk ◽  
High Level

The sustainability of a competitive, national economy depends largely on the ability of companies to deliver innovative knowledge-intensive goods and services to the market. These are the ultimate outputs of a scientific knowledge system. Ideas flow from the critical, identifiable phases of (a) the discovery, (b) the development, (c) the deployment and (d) the delivery of end products. In order to develop a successful ten-year strategic framework for investment in science and innovation, the UK government will need to prioritize and secure contributions to economic development and public service. One particular goal of the framework would be to identify the desirable attributes of a knowledge system that could achieve these ambitions. The Cambridge–MIT Institute (CMI) interviewed US stakeholders in science and innovation to gather insights on the UK's potential for long-term, scientific innovation, and the critical processes that fuel it. This paper reviews high-level observations, proposes a model for a scientific knowledge system and outlines its critical attributes.

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