Applications of Artificial Intelligence in Flight Management Systems

2020 ◽  
pp. 180-192
Author(s):  
Ivan Ostroumov ◽  
Nataliia Kuzmenko
Keyword(s):  
Artificial Intelligence ◽  
Data Fusion ◽  
Management System ◽  
Management Systems ◽  
Multiple Sensors ◽  
Guidance And Control ◽  
Internal Memory ◽  
Computer Based ◽  
Navigational Aids ◽  
And Control

Flight management system (FMS) is one of the key elements of the modern airplane. It is a computer-based system that helps a pilot with different routine operations. FMS includes numerous algorithms of Artificial Intelligence to support navigation, guidance, and control of aircraft. FMS hosts algorithms of airplane positioning by data from navigational aids and data fusion from multiple sensors. The internal memory of FMS includes global air navigation databases such as runways, airports data, air navigation charts, navigational aids, SIDs, STARs, approaches, and routes for automatic support of airplane operation.

scholarly journals Artificial Intelligence-Based Wearable Robotic Exoskeletons for Upper Limb Rehabilitation: A Review

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2146
Author(s):  
Manuel Andrés Vélez-Guerrero ◽  
Mauro Callejas-Cuervo ◽  
Stefano Mazzoleni
Keyword(s):  
Artificial Intelligence ◽  
Upper Limb ◽  
Main Trend ◽  
Motor Rehabilitation ◽  
Rehabilitation Process ◽  
Upper Limb Rehabilitation ◽  
Multiple Sensors ◽  
Meta Analyses ◽  
Limb Rehabilitation ◽  
And Control

Processing and control systems based on artificial intelligence (AI) have progressively improved mobile robotic exoskeletons used in upper-limb motor rehabilitation. This systematic review presents the advances and trends of those technologies. A literature search was performed in Scopus, IEEE Xplore, Web of Science, and PubMed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology with three main inclusion criteria: (a) motor or neuromotor rehabilitation for upper limbs, (b) mobile robotic exoskeletons, and (c) AI. The period under investigation spanned from 2016 to 2020, resulting in 30 articles that met the criteria. The literature showed the use of artificial neural networks (40%), adaptive algorithms (20%), and other mixed AI techniques (40%). Additionally, it was found that in only 16% of the articles, developments focused on neuromotor rehabilitation. The main trend in the research is the development of wearable robotic exoskeletons (53%) and the fusion of data collected from multiple sensors that enrich the training of intelligent algorithms. There is a latent need to develop more reliable systems through clinical validation and improvement of technical characteristics, such as weight/dimensions of devices, in order to have positive impacts on the rehabilitation process and improve the interactions among patients, teams of health professionals, and technology.

Complementary data fusion in guidance and control of robot compliant motion

1998 ◽  
Author(s):  
Di Xiao ◽  
Bijoy K. Ghosh ◽  
Ning Xi ◽  
Tzyh-Jong Tarn
Keyword(s):  
Data Fusion ◽  
Compliant Motion ◽  
Guidance And Control ◽  
And Control

scholarly journals The Design of ERP Intelligent Sales Management System

2020 ◽  
Author(s):  
Jianghui Liu ◽  
Qiuyi Chen ◽  
Yuexing Qiu
Keyword(s):  
Artificial Intelligence ◽  
Management System ◽  
Sales Management ◽  
Third Party ◽  
Management Systems ◽  
Sales Forecasts ◽  
Multiple Data ◽  
Information Management Systems ◽  
Artificial Intelligence Technology ◽  
Product Sales

With the popularization of informatization, most companies have their own information management systems. However, faced with massive amounts of data, most companies cannot integrate and utilize its potential value. When traditional companies make sales forecasts, they usually purchase data completion, connect multiple data source channels, and then judge the future sales situation perceptually. This lack of data accumulation and analysis, and it is impossible to display the intrinsic value of the massive data in the system. Some companies will also build professional data analysis teams or seek help from third-party companies. But this will cause high expenses and greatly reduce sales expenses. This study combines artificial intelligence technology with ERP sales management system. We apply artificial intelligence, machine learning, cloud computing to the design and construction of intelligent ERP sales management system. It solves the core problems of enterprise product sales through the deep learning function of the sales system. It may predict enterprise sales and rationally allocate enterprise resources, increase product sales effectively, and help enterprises build effective modern management systems.

scholarly journals An IOT-based Multi-sensor Ecological Shared Farmland Management System

2018 ◽  
Vol 14 (03) ◽  
pp. 81 ◽  
Author(s):  
Gao Guandong ◽  
Jia Yuchen ◽  
Xiao Ke
Keyword(s):  
Real Time ◽  
Management System ◽  
Product Information ◽  
Co2 Concentration ◽  
Agricultural Product ◽  
Monitoring And Control ◽  
Multiple Sensors ◽  
Economic Output ◽  
Electronic Tags ◽  
And Control

With the wide adoption of a shared economy, the term “share” has become closely linked with people’s daily life. To improve the economic output per unit area of farmland and allow urban residents to experience the fun of cultivating, an IOT-based multi-sensor ecological shared farmland management system is presented and designed in this paper. And an agricultural economy model that remote planting and gains sharing was also presented. This system consists of multiple sensors for data collection, automatically controlled equipment, a transport module (with a ZigBee module and a WiFi module), an app-based smart monitoring and control module and a WeChat public platform. Various information, including air temperature and humidity, soil humidity, illuminance, CO2 concentration, pH, real-time video and images, is collected for users to ensure an optimal crop growing environment via remote control and by sharing agricultural product information in harvesting seasons. Functions such as picking, leasing and transferring are implemented via the WeChat public platform. Not only is detailed information on vegetables growing in rented farmland available remotely via RFID electronic tags and multiple sensors but the real-time growing state of the planted crops is also available via camera. Control of functions such as irrigating, fertilizing and shading is also supported. The test shows that in this system, the data collected via multiple sensors are accurate; real-time information is transmitted and managed smoothly.

Research on Traffic Guidance and Control System Coordinated Agent Model

2011 ◽  
Vol 97-98 ◽  
pp. 872-876
Author(s):  
Zheng Hong Peng ◽  
Jin Jun Xu
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Traffic Control ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Agent Model ◽  
Guidance And Control ◽  
Traffic Guidance ◽  
And Control

Traffic problem is one of serious problem in our society. Put forward the concept of intelligent transportation systems, is seeking to address traffic problems, and gradually become a research hotspot in traffic areas. As two subsystems, traffic control and traffic guidance systems tend to work independently, this paper aims to establish a coordination with the integration of the two systems, while use the agent technologies which emergy in artificial intelligence to establish an integrated model.

Study on the Engineering Cost Management Systems

2013 ◽  
Vol 357-360 ◽  
pp. 2621-2624
Author(s):  
Hua Zhi Zhang ◽  
Fang Pan ◽  
Zhen Hua Zhang ◽  
Cai Yun Cheng
Keyword(s):  
Management System ◽  
Cost Management ◽  
Control Model ◽  
Unit Price ◽  
Management Systems ◽  
Two Factors ◽  
Cost Management System ◽  
Main Basis ◽  
Engineering Cost ◽  
And Control

A basic engineering cost management system is basis about the engineering cost management for national or regional. As the main basis of engineering cost is determined by two factors are engineering quantity and unit price, so the basic engineering cost management system should reflect the management and control model in the project of "quantity" and "price" of these two aspects in any country or region.

scholarly journals Artificial Intelligence Technique and Wireless Sensor Networks in Energy Management System for Secure Power Optimization

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Ayuba John ◽  
Abdulazeez Yusuf ◽  
Abdulhamid Ardo
Keyword(s):  
Artificial Intelligence ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Smart Grid ◽  
Power System ◽  
Energy Management ◽  
Management System ◽  
Power Optimization ◽  
Wireless Sensor ◽  
And Control

The acquisition of data, the processing of those data for use by the operator, and control of remote devices are the fundamental building blocks of all modern utility control systems. Manual calculations, technical analysis and conclusions were initially adopted in power system design, operation and control. As the power system grow it become more complex due to the technical advancements, variety and dynamic requirements. Artificial intelligence is the science of automating intelligent behaviours currently achievable by humans. Intelligent system techniques may be of great help in the implementation of area power system controls. While smart grid can be considered as a modern electric power grid infrastructure for enhanced efficiency and reliability through automated control, high power converters, modern communications infrastructure, sensing and metering technologies, and modern energy management techniques based on the optimization of demand, energy and network availability, and so on. The big picture of the whole transmission grid, in the context of smart grids, is still unclear; and in Nigeria no studies have been put on ground in order for the existing network to be turn into a smart grid. In this research work emphasis is place on generation and transmission stations; power optimization using artificial intelligent techniques and wireless sensor networks for power control management system.

Inventions created by artificial intelligence software: problems of law enforcement

2021 ◽  
pp. 90
Author(s):  
Ekaterina A. Sviridova
Keyword(s):  
Artificial Intelligence ◽  
Law Enforcement ◽  
Patent Law ◽  
Guidance And Control ◽  
The Status ◽  
Artificial Intelligence Technology ◽  
Definition Of ◽  
And Control ◽  
Two Sides ◽  
Indirect Part

The article analyzes the issue of determining the author and patent holder of an invention created by artificial intelligence software. The problem of determining the authorship of objects of patent law created by artificial intelligence is considered from two sides: the definition of the author of an individual under the guidance and control of which artificial intelligence has achieved a patentable result, and the recognition of the status of the inventor for the artificial intelligence itself due to the creative nature of the inventive process. It is proved that the definition of the behavior of artificial intelligence by setting the problem and giving the necessary instructions for its solution leads to the recognition of the person giving such instructions as the inventor of the result, and artificial intelligence makes only a means to achieve the result. It is concluded that in order to recognize the author of artificial intelligence software as the inventor of the result developed by such artificial intelligence, it is not enough for the author to take an indirect part by "training" artificial intelligence algorithms and determining the identified errors in their work. The unpredictability and non-obviousness of the decision-making process by artificial intelligence for the programmer does not allow him to recognize the inventor of the results created by the software. At this stage of the development of artificial intelligence technology, the process of creating an invention by artificial intelligence is proposed to be considered as a revision of the parameters and characteristics existing in this field of technology, and the implementation of a choice from certain categories.

scholarly journals Taking Advantage of the “Big Data” in Learning Management Systems

2019 ◽  
Author(s):  
Francis B. Lavoie ◽  
Pierre Proulx
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Student Performance ◽  
Management System ◽  
Learning Management Systems ◽  
Management Systems ◽  
Completion Status ◽  
Learning Management ◽  
Predicting Student Performance ◽  
The Web

This work presents a novel learning management system (LMS), named Catalyseur, which allows the students to easily access pedagogic contents as well as allowing them to directly complete the exercises on the web. Meanwhile, the LMS acquires data about the students’ completion status of exercises and lessons and the time before the examinations these exercises and lessons were completed. An artificial intelligence (AI) predicting student performance at an examination depending of their completion status is continuously updated with new data acquired by the LMS. This AI model is then used to automatically send messages to students about how they are expected to perform at the next examination.

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