scholarly journals A review of methodologies for natural-language-facilitated human–robot cooperation

2019 ◽  
Vol 16 (3) ◽  
pp. 172988141985140 ◽  
Author(s):  
Rui Liu ◽  
Xiaoli Zhang
Keyword(s):  
Natural Language ◽  
Autonomous Navigation ◽  
Intelligent Manufacturing ◽  
Language Instruction ◽  
Future Directions ◽  
Execution Plan ◽  
Plan Generation ◽  
Advantages And Disadvantages ◽  
Depth Analysis ◽  
Robot Cooperation

Natural-language-facilitated human–robot cooperation refers to using natural language to facilitate interactive information sharing and task executions with a common goal constraint between robots and humans. Recently, natural-language-facilitated human–robot cooperation research has received increasing attention. Typical natural-language-facilitated human–robot cooperation scenarios include robotic daily assistance, robotic health caregiving, intelligent manufacturing, autonomous navigation, and robot social accompany. However, a thorough review, which can reveal latest methodologies of using natural language to facilitate human–robot cooperation, is missing. In this review, we comprehensively investigated natural-language-facilitated human–robot cooperation methodologies, by summarizing natural-language-facilitated human–robot cooperation research as three aspects (natural language instruction understanding, natural language-based execution plan generation, knowledge-world mapping). We also made in-depth analysis on theoretical methods, applications, and model advantages and disadvantages. Based on our paper review and perspective, future directions of natural-language-facilitated human–robot cooperation research were discussed.

scholarly journals A Review on LiFi Network Research: Open Issues, Applications and Future Directions

2021 ◽  
Vol 11 (23) ◽  
pp. 11118
Author(s):  
Rozin Badeel ◽  
Shamala K. Subramaniam ◽  
Zurina Mohd Hanapi ◽  
Abdullah Muhammed
Keyword(s):  
High Speed ◽  
Wide Spectrum ◽  
New Technology ◽  
Future Directions ◽  
Advantages And Disadvantages ◽  
Research Areas ◽  
Depth Analysis ◽  
Connection System ◽  
User Access ◽  
Open Issues

This paper extensively reviews and analyses Light Fidelity (LiFi), a new technology that uses light to transmit data as a high-speed wireless connection system from a wide spectrum of domains. An in-depth analysis and classifications of pertinent research areas for LiFi networks are presented in this paper. The various aspects constituting this paper include a detailed literature review, proposed classifications, and statistics, which further is deliberated to encompass applications, system architecture, system components, advantages, and disadvantages. LiFi and other technologies are compared, multi-user access techniques used in LiFi networks are investigated and open issues are addressed in detail. The paper is concluded with a comprehensive taxonomy of literature comparison that has served as the basis of the proposed open issues and research trends.

scholarly journals Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract)

2017 ◽  
Author(s):  
Raffaella Bernardi ◽  
Ruket Cakici ◽  
Desmond Elliott ◽  
Aykut Erdem ◽  
Erkut Erdem ◽  
...  
Keyword(s):  
Computer Vision ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Challenging Problem ◽  
Image Description ◽  
Future Directions ◽  
Evaluation Measures ◽  
Advantages And Disadvantages

Automatic image description generation is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities. In this survey, we classify the known approaches based on how they conceptualise this problem and provide a review of existing models, highlighting their advantages and disadvantages. Moreover, we give an overview of the benchmark image-text datasets and the evaluation measures that have been developed to assess the quality of machine-generated descriptions. Finally we explore future directions in the area of automatic image description.

Inflammatory Markers Associated With Diabetes Mellitus – Old and New Players

2020 ◽  
Vol 26 ◽  
Author(s):  
Emir Muzurović ◽  
Zoja Stanković ◽  
Zlata Kovačević ◽  
Benida Šahmanović Škrijelj ◽  
Dimitri P Mikhailidis
Keyword(s):  
Diabetes Mellitus ◽  
Inflammatory Markers ◽  
High Specificity ◽  
Future Directions ◽  
Effective Strategies ◽  
Advantages And Disadvantages ◽  
Type 2 Dm ◽  
Increased Risk ◽  
Made In

: Diabetes mellitus (DM) is a chronic and complex metabolic disorder, and also an important cause of cardiovascular (CV) diseases (CVDs). Subclinical inflammation, observed in patients with type 2 DM (T2DM), cannot be considered the sole or primary cause of T2DM in the absence of classical risk factors, but it represents an important mechanism that serves as a bridge between primary causes of T2DM and its manifestation. Progress has been made in the identification of effective strategies to prevent or delay the onset of T2DM. It is important to identify those at increased risk for DM by using specific biomarkers. Inflammatory markers correlate with insulin resistance (IR) and glycoregulation in patients with DM. Also, several inflammatory markers have been shown to be useful in assessing the risk of developing DM and its complications. However, the intertwining of pathophysiological processes and the not-quite-specificity of inflammatory markers for certain clinical entities limits their practical use. In this review we consider the advantages and disadvantages of various inflammatory biomarkers of DM that have been investigated to date as well as possible future directions. Key features of such biomarkers should be high specificity, non-invasiveness and cost-effectiveness.

scholarly journals Joint Multimodal Embedding and Backtracking Search in Vision-and-Language Navigation

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 1012
Author(s):  
Jisu Hwang ◽  
Incheol Kim
Keyword(s):  
Natural Language ◽  
Language Processing ◽  
Input Data ◽  
Language Instruction ◽  
Scoring Method ◽  
Processing Technologies ◽  
Backtracking Search ◽  
Panoramic Images ◽  
Benchmark Datasets ◽  
Vision And Language

Due to the development of computer vision and natural language processing technologies in recent years, there has been a growing interest in multimodal intelligent tasks that require the ability to concurrently understand various forms of input data such as images and text. Vision-and-language navigation (VLN) require the alignment and grounding of multimodal input data to enable real-time perception of the task status on panoramic images and natural language instruction. This study proposes a novel deep neural network model (JMEBS), with joint multimodal embedding and backtracking search for VLN tasks. The proposed JMEBS model uses a transformer-based joint multimodal embedding module. JMEBS uses both multimodal context and temporal context. It also employs backtracking-enabled greedy local search (BGLS), a novel algorithm with a backtracking feature designed to improve the task success rate and optimize the navigation path, based on the local and global scores related to candidate actions. A novel global scoring method is also used for performance improvement by comparing the partial trajectories searched thus far with a plurality of natural language instructions. The performance of the proposed model on various operations was then experimentally demonstrated and compared with other models using the Matterport3D Simulator and room-to-room (R2R) benchmark datasets.

scholarly journals Nuclear mass measurements with radioactive ion beams

2019 ◽  
Vol 28 (04) ◽  
pp. 1930005 ◽  
Author(s):  
Michael A. Famiano
Keyword(s):  
Mass Measurement ◽  
Measurement Techniques ◽  
Nuclear Mass ◽  
Mass Measurements ◽  
Future Directions ◽  
Advantages And Disadvantages ◽  
Nuclear Masses ◽  
Under Construction ◽  
Very High ◽  
Practical Constraints

Nuclear masses are the most fundamental of all nuclear properties, yet they can provide a wealth of knowledge, including information on astrophysical sites, constraints on existing theory, and fundamental symmetries. In nearly all applications, it is necessary to measure nuclear masses with very high precision. As mass measurements push to more short-lived and more massive nuclei, the practical constraints on mass measurement techniques become more exacting. Various techniques used to measure nuclear masses, including their advantages and disadvantages are described. Descriptions of some of the world facilities at which the nuclear mass measurements are performed are given, and brief summaries of planned facilities are presented. Future directions are mentioned, and conclusions are presented which provide a possible outlook and emphasis on upcoming plans for nuclear mass measurements at existing facilities, those under construction, and those being planned.

Training personal robots using natural language instruction

2001 ◽  
Vol 16 (5) ◽  
pp. 38-45 ◽  
Author(s):  
S. Lauria ◽  
G. Bugmann ◽  
T. Kyriacou ◽  
J. Bos ◽  
A. Klein
Keyword(s):  
Natural Language ◽  
Language Instruction ◽  
Personal Robots

scholarly journals Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1164 ◽  
Author(s):  
Indre Siksnelyte-Butkiene ◽  
Edmundas Kazimieras Zavadskas ◽  
Dalia Streimikiene
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Scientific Literature ◽  
Renewable Energy Sources ◽  
Multiple Criteria Decision Making ◽  
Energy Sources ◽  
Renewable Energy Technologies ◽  
Advantages And Disadvantages ◽  
Energy Technologies ◽  
Depth Analysis

Different power generation technologies have different advantages and disadvantages. However, if compared to traditional energy sources, renewable energy sources provide a possibility to solve the climate change and economic decarbonization issues that are so relevant today. Therefore, the analysis and evaluation of renewable energy technologies has been receiving increasing attention in the politics of different countries and the scientific literature. The household sector consumes almost one third of all energy produced, thus studies on the evaluation of renewable energy production technologies in households are very important. This article reviews the scientific literature that have used multiple-criteria decision-making (MCDM) methods as a key tool to evaluate renewable energy technologies in households. The findings of the conducted research are categorized according to the objectives pursued and the criteria on which the evaluation was based are discussed. The article also provides an overview and in-depth analysis of MCDM methods and distinguishes the main advantages and disadvantages of using them to evaluate technologies in households.

Research on Applied-Information Technology with Application of Data Mining in Analysis of Consumer Behavior

2014 ◽  
Vol 1003 ◽  
pp. 230-234
Author(s):  
Feng Long Fan ◽  
Xu Li ◽  
Xu Sheng Yu ◽  
Li Wang
Keyword(s):  
Computer Technology ◽  
System Analysis ◽  
Computer Network ◽  
Rapid Development ◽  
Daily Consumption ◽  
School Students ◽  
Customer Data ◽  
Advantages And Disadvantages ◽  
Depth Analysis ◽  
Database Technology

With the development of computer technology, especially the rapid development and extensive application of database technology and computer network technology, the data quantity increases sharply, the accumulation of a large number of data in various fields, and rising fast. Enterprise database or data warehouse has stored a large number of customer data, these data include many aspects of the information of customers, but also contains the advantages and disadvantages of the enterprise operation. If we can use these data quickly, efficiently in-depth analysis and research, to find the rules and modes, to obtain the necessary knowledge from it, will help enterprises to better decision making. The system can successfully excavate students and staff of the tendency of consumption and consumption habits, analyze their satisfaction with each restaurant. The results of system analysis to a certain role for school students and teachers to understand and analyze the condition of daily consumption, so the establishment of this system has great practical value.

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