The Double Roller Full Toroidal Variator: A Promising Solution for KERS Technology

2012 ◽  
pp. 241-250
Author(s):  
Giuseppe Carbone ◽  
Francesco Bottiglione ◽  
Leonardo De Novellis ◽  
Luigi Mangialardi ◽  
Giacomo Mantriota
Keyword(s):  
Promising Solution

HIV digital vaccine strategy: An application of blockchain technology in preventing the spread of HIV (Preprint)

2019 ◽  
Author(s):  
Jia Liu ◽  
Zhe Wang ◽  
Dingyong Sun ◽  
Xiying Wang
Keyword(s):  
High Risk ◽  
Vaccine Strategy ◽  
Surveillance Network ◽  
High Risk Sexual Behavior ◽  
Blockchain Technology ◽  
Control And Prevention ◽  
Heavy Burden ◽  
Promising Solution ◽  
Susceptible Populations ◽  
And Control

UNSTRUCTURED The HIV epidemic imposes a heavy burden on societal development. Presently, the protection of susceptible populations is the most feasible method for eliminating the spread of HIV. Governments and other relevant industries are actively attempting to solve the problem. In view of the unavailability of biological vaccines, the best measures that can currently be applied are identification of HIV-infected persons and provision of treatment and behavioral intervention. This paper proposes a HIV digital vaccine strategy based on blockchain technology. In the proposed strategy, a decentralized surveillance network is jointly constructed using HIV high-risk individuals as application nodes and accredited testing agencies as authentication nodes. Following testing at the authentication nodes, the results are uploaded to the blockchain, which results in HIV high-risk individuals being able to determine the HIV infection status of each other in a convenient, anonymous, and credible manner. This reduces the occurrence of high-risk sexual behavior and effectively protects susceptible populations. The proposed strategy is a promising solution to prevent the spread of HIV. The performance of the decentralized surveillance network may lead to the restructuring of current government-funded infectious disease prevention and control modes that are centered on centers for disease control and prevention and hospitals to introduce revolutionary changes in public health systems globally.

scholarly journals Improving Topic Coherence Using Entity Extraction Denoising

2018 ◽  
Vol 110 (1) ◽  
pp. 85-101 ◽  
Author(s):  
Ronald Cardenas ◽  
Kevin Bello ◽  
Alberto Coronado ◽  
Elizabeth Villota
Keyword(s):  
Topic Modeling ◽  
Human Perception ◽  
Relevant Information ◽  
Entity Recognition ◽  
Entity Extraction ◽  
Fine Grained ◽  
Job Advertisement ◽  
Coherence Score ◽  
Probabilistic Topic Modeling ◽  
Promising Solution

Abstract Managing large collections of documents is an important problem for many areas of science, industry, and culture. Probabilistic topic modeling offers a promising solution. Topic modeling is an unsupervised machine learning method and the evaluation of this model is an interesting problem on its own. Topic interpretability measures have been developed in recent years as a more natural option for topic quality evaluation, emulating human perception of coherence with word sets correlation scores. In this paper, we show experimental evidence of the improvement of topic coherence score by restricting the training corpus to that of relevant information in the document obtained by Entity Recognition. We experiment with job advertisement data and find that with this approach topic models improve interpretability in about 40 percentage points on average. Our analysis reveals as well that using the extracted text chunks, some redundant topics are joined while others are split into more skill-specific topics. Fine-grained topics observed in models using the whole text are preserved.

scholarly journals No neighbour-induced increase in root growth of soybean and sunflower in mesh divider experiments after controlling for nutrient concentration and soil volume

AoB Plants ◽  
2021 ◽  
Author(s):  
Bin J W Chen ◽  
Li Huang ◽  
Heinjo J During ◽  
Xinyu Wang ◽  
Jiahe Wei ◽  
...  
Keyword(s):  
Root Growth ◽  
Nutrient Concentration ◽  
Ideal Free Distribution ◽  
Plant Performance ◽  
Root Competition ◽  
Individual Level ◽  
Key Factor ◽  
Promising Solution ◽  
Soil Volume ◽  
Ideal Free

Abstract Root competition is a key factor determining plant performance, community structure and ecosystem productivity. To adequately estimate the extent of root proliferation of plants in response to neighbours independently of nutrient availability, one should use a setup that can simultaneously control for both nutrient concentration and soil volume at plant individual level. With a mesh-divider design, which was suggested as a promising solution for this problem, we conducted two intraspecific root competition experiments one with soybean (Glycine max) and the other with sunflower (Helianthus annuus). We found no response of root growth or biomass allocation to intraspecific neighbours, i.e. an ‘ideal free distribution’ (IDF) norm, in soybean; and even a reduced growth as a negative response in sunflower. These responses are all inconsistent with the hypothesis that plants should produce more roots even at the expense of reduced fitness in response to neighbours, i.e. root over-proliferation. Our results suggest that neighbour-induced root over-proliferation is not a ubiquitous feature in plants. By integrating the findings with results from other soybean studies, we conclude that for some species this response could be a genotype-dependent response as a result of natural or artificial selection, or a context-dependent response so that plants can switch from root over-proliferation to IDF depending on the environment of competition. We also critically discuss whether the mesh-driver design is the ideal solution for root competition experiments.

scholarly journals An Anti-Counterfeiting Architecture for Traceability System Based on Modified Two-Level Quick Response Codes

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 320
Author(s):  
Shundao Xie ◽  
Hong-Zhou Tan
Keyword(s):  
Product Life Cycle ◽  
Low Cost ◽  
Prototype System ◽  
Qr Code ◽  
Quick Response ◽  
Copy Detection ◽  
Traceability System ◽  
Scanned Image ◽  
Promising Solution ◽  
Product Package

Traceability is considered a promising solution for product safety. However, the data in the traceability system is only a claim rather than a fact. Therefore, the quality and safety of the product cannot be guaranteed since we cannot ensure the authenticity of products (aka counterfeit detection) in the real world. In this paper, we focus on counterfeit detection for the traceability system. The risk of counterfeiting throughout a typical product life cycle in the supply chain is analyzed, and the corresponding requirements for the tags, packages, and traceability system are given to eliminate these risks. Based on the analysis, an anti-counterfeiting architecture for traceability system based on two-level quick response codes (2LQR codes) is proposed, where the problem of counterfeit detection for a product is transformed into the problem of copy detection for the 2LQR code tag. According to the characteristics of the traceability system, the generation progress of the 2LQR code is modified, and there is a corresponding improved algorithm to estimate the actual location of patterns in the scanned image of the modified 2LQR code tag to improve the performance of copy detection. A prototype system based on the proposed architecture is implemented, where the consumers can perform traceability information queries by scanning the 2LQR code on the product package with any QR code reader. They can also scan the 2LQR code with a home-scanner or office-scanner, and send the scanned image to the system to perform counterfeit detection. Compared with other anti-counterfeiting solutions, the proposed architecture has advantages of low cost, generality, and good performance. Therefore, it is a promising solution to replace the existing anti-counterfeiting system.

scholarly journals Advances in automatic identification of flying insects using optical sensors and machine learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Carsten Kirkeby ◽  
Klas Rydhmer ◽  
Samantha M. Cook ◽  
Alfred Strand ◽  
Martin T. Torrance ◽  
...  
Keyword(s):  
Machine Learning ◽  
Optical Sensors ◽  
Precision Agriculture ◽  
Insect Pests ◽  
Crop Damage ◽  
Automatic Identification ◽  
Flying Insects ◽  
Remote Sensor ◽  
Promising Solution ◽  
Environmentally Sensitive

AbstractWorldwide, farmers use insecticides to prevent crop damage caused by insect pests, while they also rely on insect pollinators to enhance crop yield and other insect as natural enemies of pests. In order to target pesticides to pests only, farmers must know exactly where and when pests and beneficial insects are present in the field. A promising solution to this problem could be optical sensors combined with machine learning. We obtained around 10,000 records of flying insects found in oilseed rape (Brassica napus) crops, using an optical remote sensor and evaluated three different classification methods for the obtained signals, reaching over 80% accuracy. We demonstrate that it is possible to classify insects in flight, making it possible to optimize the application of insecticides in space and time. This will enable a technological leap in precision agriculture, where focus on prudent and environmentally-sensitive use of pesticides is a top priority.

scholarly journals A Comeback of Wind Power in Shipping: An Economic and Operational Review on the Wind-Assisted Ship Propulsion Technology

2021 ◽  
Vol 13 (4) ◽  
pp. 1880
Author(s):  
Todd Chou ◽  
Vasileios Kosmas ◽  
Michele Acciaro ◽  
Katharina Renken
Keyword(s):  
Fossil Fuels ◽  
Secondary Data ◽  
Decision Makers ◽  
Transport Sector ◽  
Key Factors ◽  
Ship Propulsion ◽  
Fuel Savings ◽  
Technological Growth ◽  
The Status ◽  
Promising Solution

Wind-assisted ship propulsion (WASP) technology seems to be a promising solution toward accelerating the shipping industry’s decarbonization efforts as it uses wind to replace part of the propulsive power generated from fossil fuels. This article discusses the status quo of the WASP technological growth within the maritime transport sector by means of a secondary data review analysis, presents the potential fuel-saving implications, and identifies key factors that shape the operational efficiency of the technology. The analysis reveals three key considerations. Firstly, despite the existing limited number of WASP installations, there is a promising trend of diffusion of the technology within the industry. Secondly, companies can achieve fuel savings, which vary depending on the technology installed. Thirdly, these bunker savings are influenced by environmental, on-board, and commercial factors, which presents both opportunities and challenges to decision makers.

The interpreters’ point of view on ELF at the European Commission: “A completely uneven playing field”

2020 ◽  
Vol 9 (2) ◽  
pp. 195-215
Author(s):  
Cristina Scardulla
Keyword(s):  
European Commission ◽  
Target Population ◽  
Point Of View ◽  
Lingua Franca ◽  
Playing Field ◽  
Successful Communication ◽  
European Institutions ◽  
Promising Solution ◽  
The Relationship ◽  
Communicative Effectiveness

AbstractThe use of English as a Lingua Franca is a promising solution to the overcoming of language barriers in a wide variety of contexts and, despite being formally governed by the principle of multilingualism, the European institutions are no exception. This paper aims at shedding light on the perception on the use of ELF within the European Commission, by presenting the results of a questionnaire carried out within the framework of a broader PhD project. The target population is that of interpreters working for the European Commission. The analysis focuses on two specific questions, which address interpreters in their role as communication experts, inviting them to momentarily set aside their opinion on the relationship between ELF and interpretation and rather assess ELF in terms of “communicative effectiveness,” considered as an essential component to a successful communication. Results confirm previous ITELF (Interpreting, Translation and English as a Lingua Franca) studies, in that interpreters believe that ELF tends to decrease the level of communicative effectiveness and that, based on their direct experience, less than half of the speakers in these meetings succeed at expressing themselves effectively when using ELF. Most importantly, they elaborate on what this loss of effectiveness entails in terms of communication quality, interlocutors’ participation rights and multilingualism.

Safety Enhancement by Automated Driving: What are the Relevant Scenarios?

2020 ◽  
Vol 64 (1) ◽  
pp. 1686-1690
Author(s):  
Niklas Grabbe ◽  
Michael Höcher ◽  
Alexander Thanos ◽  
Klaus Bengler
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Test Cases ◽  
Automated Driving ◽  
Road Traffic Safety ◽  
Human Driver ◽  
Driving Task ◽  
Promising Solution ◽  
Vehicle Automation ◽  
Safety Enhancement

Automated driving offers great possibilities in traffic safety advancement. However, evidence of safety cannot be provided by current validation methods. One promising solution to overcome the approval trap (Winner, 2015) could be the scenario-based approach. Unfortunately, this approach still results in a huge number of test cases. One possible way out is to show the current, incorrect path in the argumentation and strategy of vehicle automation, and focus on the systemic mechanisms of road traffic safety. This paper therefore argues the case for defining relevant scenarios and analysing them systemically in order to ultimately reduce the test cases. The relevant scenarios are based on the strengths and weaknesses, in terms of the driving task, for both the human driver and automation. Finally, scenarios as criteria for exclusion are being proposed in order to systemically assess the contribution of the human driver and automation to road safety.

scholarly journals Learning Feedforward Control Using Multiagent Control Approach for Motion Control Systems

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 420
Author(s):  
Phong B. Dao
Keyword(s):  
Real Time ◽  
Feedforward Control ◽  
Design Method ◽  
Mechatronic Systems ◽  
Control Approach ◽  
Runtime Environment ◽  
Multiagent Control ◽  
On Line ◽  
Promising Solution ◽  
Function Approximator

Multiagent control system (MACS) has become a promising solution for solving complex control problems. Using the advantages of MACS-based design approaches, a novel solution for advanced control of mechatronic systems has been developed in this paper. The study has aimed at integrating learning control into MACS. Specifically, learning feedforward control (LFFC) is implemented as a pattern for incorporation in MACS. The major novelty of this work is that the feedback control part is realized in a real-time periodic MACS, while the LFFC algorithm is done on-line, asynchronously, and in a separate non-real-time aperiodic MACS. As a result, a MACS-based LFFC design method has been developed. A second-order B-spline neural network (BSN) is used as a function approximator for LFFC whose input-output mapping can be adapted during control and is intended to become equal to the inverse model of the plant. To provide real-time features for the MACS-based LFFC system, the open robot control software (OROCOS) has been employed as development and runtime environment. A case study using a simulated linear motor in the presence of nonlinear cogging and friction force as well as mass variations is used to illustrate the proposed method. A MACS-based LFFC system has been designed and implemented for the simulated plant. The system consists of a setpoint generator, a feedback controller, and a time-index LFFC that can learn on-line. Simulation results have demonstrated the applicability of the design method.

scholarly journals Operations management of smart logistics: A literature review and future research

2021 ◽  
Author(s):  
Bo Feng ◽  
Qiwen Ye
Keyword(s):  
Operations Management ◽  
Optimization Problems ◽  
Future Research ◽  
Information Communication ◽  
Logistics Industry ◽  
Smart Logistics ◽  
Promising Solution ◽  
Future Research Directions ◽  
Offline Channels ◽  
The Internet Of Things

AbstractThe global collaboration and integration of online and offline channels have brought new challenges to the logistics industry. Thus, smart logistics has become a promising solution for handling the increasing complexity and volume of logistics operations. Technologies, such as the Internet of Things, information communication technology, and artificial intelligence, enable more efficient functions into logistics operations. However, they also change the narrative of logistics management. Scholars in the areas of engineering, logistics, transportation, and management are attracted by this revolution. Operations management research on smart logistics mainly concerns the application of underlying technologies, business logic, operation framework, related management system, and optimization problems under specific scenarios. To explore these studies, the related literature has been systematically reviewed in this work. On the basis of the research gaps and the needs of industrial practices, future research directions in this field are also proposed.

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