Into the World of Underwater Swarm Robotics: Architecture, Communication, Applications and Challenges

2020 ◽  
Vol 13 (2) ◽  
pp. 110-119 ◽  
Author(s):  
Koyippilly Satheesh Keerthi ◽  
Bandana Mahapatra ◽  
Varun Girijan Menon
Keyword(s):  
Swarm Intelligence ◽  
Swarm Robotics ◽  
State Of The Art ◽  
Robotic System ◽  
Underwater Robotics ◽  
World Science ◽  
Communication Medium ◽  
The World ◽  
Technical Details ◽  
Swarm Robot

Background: With the curiosity of exploring the underwater world, science has devised various technologies and machines that can help them in performing activities like exploring, navigating and plunging into the unknown world of oceanography. Underwater Robot or vehicle can be claimed as an outcome of extensive research done by the scientists who aimed at discovering the unknown mysterious world of ocean and how it can benefit humanity. Swarm robotics is an entirely new section of robotics that has been developed based on swarm intelligence. Considering the fact, swarm robotics being still in nuptial stage, researchers have provided immense contribution with an aim to develop this technology. The objective of the paper is to present a comprehensive review covering the various technical and conceptual aspects of underwater swarm robotic system. Methods: A systematic review on state-of-the-art has been performed where contributions of various researchers was considered. The study emphasis on the concepts, technical background, architecture and communication medium along with its applicability in various fields that also include various issues and challenges faced while attaining them. Results: The incorporation of swarm intelligence in underwater robotics provides a new angle altogether into the working pattern of underwater robotic system. Conclusion: The article is a systematic presentation of swarm robot technologies, their mechanisms, conceived and designed communication medium with respect to adaptability of the vehicle to the versatile nature of water. The paper delineates the various conceptual and technical details and its beneficence to humanity.

scholarly journals D-Penicillamine: The State of the Art in Humans and in Dogs from a Pharmacological and Regulatory Perspective

Antibiotics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 648
Author(s):  
Michela Pugliese ◽  
Vito Biondi ◽  
Enrico Gugliandolo ◽  
Patrizia Licata ◽  
Alessio Filippo Peritore ◽  
...  
Keyword(s):  
Veterinary Medicine ◽  
State Of The Art ◽  
European Medicines Agency ◽  
Therapeutic Goals ◽  
First Choice ◽  
Regulatory Perspective ◽  
The World ◽  
United States Food ◽  
States Food ◽  
Food And Drugs Administration

Chelant agents are the mainstay of treatment in copper-associated hepatitis in humans, where D-penicillamine is the chelant agent of first choice. In veterinary medicine, the use of D-penicillamine has increased with the recent recognition of copper-associated hepatopathies that occur in several breeds of dogs. Although the different regulatory authorities in the world (United States Food and Drugs Administration—U.S. FDA, European Medicines Agency—EMEA, etc.) do not approve D-penicillamine for use in dogs, it has been used to treat copper-associated hepatitis in dogs since the 1970s, and is prescribed legally by veterinarians as an extra-label drug to treat this disease and alleviate suffering. The present study aims to: (a) address the pharmacological features; (b) outline the clinical scenario underlying the increased interest in D-penicillamine by overviewing the evolution of its main therapeutic goals in humans and dogs; and finally, (c) provide a discussion on its use and prescription in veterinary medicine from a regulatory perspective.

Capturing the swarm intelligence in truckers: The foundation analysis for future swarm robotics in road freight

2021 ◽  
Vol 62 ◽  
pp. 100845
Author(s):  
Mi Gan ◽  
Qiujun Qian ◽  
Dandan Li ◽  
Yi Ai ◽  
Xiaobo Liu
Keyword(s):  
Swarm Intelligence ◽  
Swarm Robotics ◽  
Road Freight

scholarly journals Multi-Task Learning Using Task Dependencies for Face Attributes Prediction

2019 ◽  
Vol 9 (12) ◽  
pp. 2535
Author(s):  
Di Fan ◽  
Hyunwoo Kim ◽  
Jummo Kim ◽  
Yunhui Liu ◽  
Qiang Huang
Keyword(s):  
Human Computer Interaction ◽  
Video Surveillance ◽  
State Of The Art ◽  
Learning Task ◽  
Face Verification ◽  
Task Learning ◽  
The World ◽  
In The Wild ◽  
And Gender ◽  
Learning Architectures

Face attributes prediction has an increasing amount of applications in human–computer interaction, face verification and video surveillance. Various studies show that dependencies exist in face attributes. Multi-task learning architecture can build a synergy among the correlated tasks by parameter sharing in the shared layers. However, the dependencies between the tasks have been ignored in the task-specific layers of most multi-task learning architectures. Thus, how to further boost the performance of individual tasks by using task dependencies among face attributes is quite challenging. In this paper, we propose a multi-task learning using task dependencies architecture for face attributes prediction and evaluate the performance with the tasks of smile and gender prediction. The designed attention modules in task-specific layers of our proposed architecture are used for learning task-dependent disentangled representations. The experimental results demonstrate the effectiveness of our proposed network by comparing with the traditional multi-task learning architecture and the state-of-the-art methods on Faces of the world (FotW) and Labeled faces in the wild-a (LFWA) datasets.

The Application of Anthropological Knowledge to Modern Mass Society: An Anthropologist's View

1956 ◽  
Vol 15 (4) ◽  
pp. 24-29
Author(s):  
John Gillin
Keyword(s):  
Social Behavior ◽  
Field Work ◽  
World Science ◽  
Small Communities ◽  
Human Behaviors ◽  
Mass Society ◽  
The World ◽  
Human Social Behavior ◽  
Modern Mass ◽  
Theoretical Apparatus

Are there any methods whereby we may understand the cultures of modern nation-societies both as to their detailed components and as to their total configurational characteristics? Anthropologists receive such queries because modern ethnological field work and other anthropological methods have been able to produce reliable descriptive analyses of so-called primitive tribes and small communities that are both comprehensive and detailed. And, on the basis of such data collected in a wide variety of cultures around the world, science has acquired not only a rich store of knowledge concerning the substantive varieties of human social behavior, but also a fairly elaborated theoretical apparatus regarding culture in general. With such knowledge and theory it is possible to explain and even to predict many human behaviors and attitudes that were formerly beyond the reach of science.

Rose Fitzgerald Kennedy bridge over the River Barrow. Design and Construction of a long span extrados bridge

2021 ◽  
Author(s):  
Marcos Sanchez Sanchez ◽  
John Iliff
Keyword(s):  
State Of The Art ◽  
Single Plane ◽  
Robust Approach ◽  
Analysis Techniques ◽  
Long Span ◽  
The World ◽  
Art Analysis ◽  
Concrete Deck ◽  
Design And Construction

<p>This paper describes the key elements from early planning to completion of a new bridge over the River Barrow which is part of the New Ross bypass in the south of Ireland. The structure has a total length of 887m, with a span arrangement of 36-45-95-230-230-95-70-50-36m. The two central twin spans are the longest of its kind in the world (extrados with a full concrete deck). The bridge carries a dual carriageway with a cable arrangement consisting of a single plane of cables located in the central axis of the deck. The design and construction focused in providing a structure with long term durability, resilience, and a robust approach to design scenarios using the Eurocodes and state of the art analysis techniques, including extreme events such as fire and ship impact<i>.</i></p>

THE CONCEPT OF "CREATOR" IN ACCORDANCE WITH THE LEGISLATION OF THE REPUBLIC OF AZERBAIJAN

2021 ◽  
Vol 66 (05) ◽  
pp. 168-172
Author(s):  
Leyla Mobil Khankishiyeva ◽  
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Creative Activity ◽  
World Science ◽  
Modern Times ◽  
The World ◽  
Artificial Intelligence Technology ◽  
The Republic ◽  
The Relationship ◽  
And Robotics

One of the realities of modern times is the evolution of new technologies around the world, as well as the use of artificial intelligence (AI) and robotics in different spheres of society. Artificial intelligence, which was founded in the middle of the last century, has been one of the most invested in and interesting fields in recent times. Recently one of the most discussed and important issues is the relationship between artificial intelligence (AI) and intellectual property rights (IPR). Thus, the ownership of works created by artificial intelligence is one of the most discussed issues. In recent years, on the initiative of President Ilham Aliyev, modern achievements of world science have been applied in the life of society in the Republic of Azerbaijan. Considering all of this, the significance and urgency of the situation are clear. In other words, this is an issue that is high on both our national and international agendas. Key words: Artificial intelligence technology, creative activity, concept of "author", “work made for hire” doctrine,computer-generated works

Sir Charles Parsons and Electrical Power Generation—a Turbine Designer's Perspective

1994 ◽  
Vol 208 (3) ◽  
pp. 159-176 ◽  
Author(s):  
J R Bolter
Keyword(s):  
Power Generation ◽  
Steam Turbine ◽  
Gas Turbine ◽  
Electrical Power Generation ◽  
Analytical Methods ◽  
State Of The Art ◽  
Electrical Power ◽  
Turbine Generator ◽  
Current State ◽  
The World

Sir Charles Parsons died some three years after the author was born. In this paper the author looks back at the pioneering work of Parsons in the field of power generation. It shows how he was able to increase output of the steam turbine generator from 7.5 kW in 1884 to 50000 kW in 1930 while increasing efficiency from 1.6 to 36 per cent, and relates these achievements to the current state of the art. Blading design, rotor construction and other aspects of turbine engineering are considered. The conclusion is that Parsons and his associates charted the course which manufacturers and utilities throughout the world have continued to follow, although increasingly sophisticated design and analytical methods have succeeded the intuitive approach of Parsons. His constant search for improved efficiency was and is highly relevant to today's concern for the environment. Finally, although it did not become a practical proposition in his lifetime, the paper reviews Parsons' vision of, and continuing interest in, the gas turbine, first mentioned in his 1884 patents.

scholarly journals Turbulence and Flow–Sediment Interactions in Open-Channel Flows

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3169
Author(s):  
Roberto Gaudio
Keyword(s):  
Open Channel ◽  
Field Experiments ◽  
State Of The Art ◽  
Channel Flows ◽  
Special Issue ◽  
Panoramic View ◽  
Open Channel Flows ◽  
River Hydraulics ◽  
The World ◽  
Computing Skills

The main focus of this Special Issue of Water is the state-of-the-art and recent research on turbulence and flow–sediment interactions in open-channel flows. Our knowledge of river hydraulics is becoming deeper and deeper, thanks to both laboratory/field experiments related to the characteristics of turbulence and their link to the erosion, transport, deposition, and local scouring phenomena. Collaboration among engineers, physicists, and other experts is increasing and furnishing new inter/multidisciplinary perspectives to the research in river hydraulics and fluid mechanics. At the same time, the development of both sophisticated laboratory instrumentation and computing skills is giving rise to excellent experimental–numerical comparative studies. Thus, this Special Issue, with ten papers by researchers from many institutions around the world, aims at offering a modern panoramic view on all the above aspects to the vast audience of river researchers.

scholarly journals Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6450
Author(s):  
Taimur Hassan ◽  
Muhammad Shafay ◽  
Samet Akçay ◽  
Salman Khan ◽  
Mohammed Bennamoun ◽  
...  
Keyword(s):  
Transfer Learning ◽  
State Of The Art ◽  
Autonomous Systems ◽  
Aviation Security ◽  
Dual Energy ◽  
Average Precision ◽  
X Ray ◽  
Shot Classification ◽  
Object Proposals ◽  
The World

Screening baggage against potential threats has become one of the prime aviation security concerns all over the world, where manual detection of prohibited items is a time-consuming and hectic process. Many researchers have developed autonomous systems to recognize baggage threats using security X-ray scans. However, all of these frameworks are vulnerable against screening cluttered and concealed contraband items. Furthermore, to the best of our knowledge, no framework possesses the capacity to recognize baggage threats across multiple scanner specifications without an explicit retraining process. To overcome this, we present a novel meta-transfer learning-driven tensor-shot detector that decomposes the candidate scan into dual-energy tensors and employs a meta-one-shot classification backbone to recognize and localize the cluttered baggage threats. In addition, the proposed detection framework can be well-generalized to multiple scanner specifications due to its capacity to generate object proposals from the unified tensor maps rather than diversified raw scans. We have rigorously evaluated the proposed tensor-shot detector on the publicly available SIXray and GDXray datasets (containing a cumulative of 1,067,381 grayscale and colored baggage X-ray scans). On the SIXray dataset, the proposed framework achieved a mean average precision (mAP) of 0.6457, and on the GDXray dataset, it achieved the precision and F1 score of 0.9441 and 0.9598, respectively. Furthermore, it outperforms state-of-the-art frameworks by 8.03% in terms of mAP, 1.49% in terms of precision, and 0.573% in terms of F1 on the SIXray and GDXray dataset, respectively.

scholarly journals Microscopic Image Segmentation Based on Swarm Intelligence Optimization Algorithms

2019 ◽  
pp. 124-130
Author(s):  
Selen Ayas ◽  
Hulya Dogan ◽  
Eyup Gedikli ◽  
Murat Ekinci
Keyword(s):  
Swarm Intelligence ◽  
Diagnostic Technique ◽  
World Health ◽  
Flower Pollination Algorithm ◽  
Background Concentration ◽  
Sputum Smear ◽  
Microscopic Image ◽  
Visual Examination ◽  
Microscopic Images ◽  
The World

The World Health Organization suggests the visual examination of stained sputum smear samples as a preliminary and basic diagnostic technique for diagnosing tuberculosis which is the most common infectious disease in the world. Due to the fact that the visual examination of slide samples performed by expert laboratory technicians requires much time and the process is prone to mistake, an accurate diagnosis of disease is provided with computer aided automatic diagnosis methods. In this study, the usage of swarm intelligence algorithms based on entropy information are proposed for detecting the tuberculosis bacilli as an ovelap approach in segmentation of microscopic images. The microscopic images used in the study are taken from smear samples in which the background concentration is low and bacilli concentration is low and high. An optimum threshold value in gray-level microscopic image is determined using the bi-level entropy based Particle Swarm Optimization, Firefly Algorithm, Cuckoo Search Optimization and Flower Pollination Algorithm. The acquired visual results show that the proposed swarm intelligence algorithms are quite successful in segmentation of microscopic images.

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