Operator-Automation Interaction in Agricultural Vehicles

Author(s):  
Julian Sanchez ◽  
Jerry R. Duncan

Over the last 25 years, considerable research has been conducted in an effort to understand human behavior in automated systems. These efforts have yielded a number of valuable findings about the overall nature of human-automation interaction across a wide range of domains, such as aviation, surface transportation, medical systems, manufacturing environments, and maritime vehicles. In this article, we provide an overview of another domain that has been heavily influenced by automation: agricultural vehicles. We share some observations about the impacts of automation on human behavior within this domain, discuss some of the tools and methods being used to investigate these issues, and speculate about the lessons to be learned about human-automation interaction from this arena.

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3871
Author(s):  
Jiri Pokorny ◽  
Khanh Ma ◽  
Salwa Saafi ◽  
Jakub Frolka ◽  
Jose Villa ◽  
...  

Automated systems have been seamlessly integrated into several industries as part of their industrial automation processes. Employing automated systems, such as autonomous vehicles, allows industries to increase productivity, benefit from a wide range of technologies and capabilities, and improve workplace safety. So far, most of the existing systems consider utilizing one type of autonomous vehicle. In this work, we propose a collaboration of different types of unmanned vehicles in maritime offshore scenarios. Providing high capacity, extended coverage, and better quality of services, autonomous collaborative systems can enable emerging maritime use cases, such as remote monitoring and navigation assistance. Motivated by these potential benefits, we propose the deployment of an Unmanned Surface Vehicle (USV) and an Unmanned Aerial Vehicle (UAV) in an autonomous collaborative communication system. Specifically, we design high-speed, directional communication links between a terrestrial control station and the two unmanned vehicles. Using measurement and simulation results, we evaluate the performance of the designed links in different communication scenarios and we show the benefits of employing multiple autonomous vehicles in the proposed communication system.


Author(s):  
O. Yu. Bululukov

The issues of using mathematical knowledge in the investigation of crimes are considered. It’s indicated that the application of mathematical methods in the investigation is limited by the wide range of ways of establishing evidentiary information, which are not always subjected to the mathematical calculations. We have drawn attention to the fact that the modern use of mathematical methods is basically reduced to the use of algorithms in various aspects of the process of investigating crimes. It’s defined that the purpose of algorithmic investigation activity is its optimization, efficiency, objectivity of the results, reduction of the terms of investigation and creation of real conditions for the development of automated systems for processing and evaluating of the received information, taking decisions in certain typical situations. The importance of criminalistic algorithms in choosing optimal tactical solutions is substantiated in the situations, where there are several variants of solutions and the ambiguity of the expected results when making a decision. Two groups of investigation tasks are presented which are divided among themselves, depending on the clarity of the initial information, which was used in their formation. There is shown a relationship that exists between the analysis of the initial information in the formulation of a tactical task and the choice of an algorithm for its solution by making tactical decisions. It’s pointed out that the uncertainty and incompleteness of the initial data of the tactical task considerably complicates the use of mathematical algorithms. There is analyzed the use of algorithms in the construction: of a private technique for investigating crimes; of a tactical operation; when forming a system of tactical methods. Critical remarks are presented about the available modern algorithms (programs) of the investigator’s actions as non-concrete, multivariate and not reflecting the logical sequence of actions aimed at accomplishing the tasks of investigation and achieving the desired result.


Author(s):  
Marzieh Khakifirooz ◽  
Mahdi Fathi ◽  
Panos M. Pardalos ◽  
Daniel J. Power

This work introduces a formation and variety of decision-making models based on operations research modeling and optimization techniques in smart manufacturing environments. Unlike traditional manufacturing, the goal of Smart manufacturing is to optimizing concept generation, production, and product transaction and enable flexibility in physical processes to address a dynamic, competitive and global supply chains by using intelligent computerized control, advanced information technology, smart manufacturing technologies and high levels of adaptability. While research in the broad area of smart manufacturing and its challenges in decision making encompasses a wide range of topics and methodologies, we believe this chapter provides a good snapshot of current quantitative modeling approaches, issues, and trends within the field. The chapter aims to provide insights into the system engineering design, emphasizing system requirements analysis and specification, the use of alternative analytical methods and how systems can be evaluated.


2018 ◽  
Vol 140 (5) ◽  
Author(s):  
Rajkumar Shufen ◽  
Uday S. Dixit

Autofrettage is a metal forming technique widely incorporated for strengthening the thick-walled cylindrical and spherical pressure vessels. The technique is based on the principle of initially subjecting the cylindrical or spherical vessel to partial plastic deformation and then unloading it; as a result of which compressive residual stresses are set up. On the basis of the type of the forming load, autofrettage can be classified into hydraulic, swage, explosive, thermal, and rotational. Considerable research studies have been carried out on autofrettage with a variety of theoretical models and experimental methods. This paper presents an extensive review of various types of autofrettage processes. A wide range of theoretical models and experimental studies are described. Optimization of an autofrettage process is also discussed. Based on the review, some challenging issues and key areas for future research are identified.


1989 ◽  
Vol 19 (2) ◽  
pp. 67-80 ◽  

From 18 to 21 August 1989 approximately 120 members of the Association (and a few guests) met in Kiel, West Germany, to work on revisions of the International Phonetic Alphabet (IPA). There had been a great deal of preparation for this convention, involving the soliciting of opinion by mail on a wide range of topics, and considerable research on the present status of the IPA. A previous issue of this journal, JIPA 18(2), collected a number of these preparatory opinions. At the convention itself there were five major working groups which met almost continuously for the first two days. Three groups considered consonants, vowels and suprasegmentals; the other two considered computational aspects of the IPA, and the needs of speech pathologists and others for extensions of the IPA. In addition there were groups concerned with the principles on which the IPA should be based, the form of presentation of the IPA, past successes and failures, and methods of illustration of the IPA. The groups reported back to the whole at intervals, and on the last day the convention met in a series of plenary sessions to consider and vote on the final working reports. The following is a compilation of six of the group reports reflecting the results of the discussions and votes of the plenary sessions. The Association is very grateful to the co-ordinators and co-chairs of the groups. Most of the wording below is taken directly from their reports; in accordance with the traditions of the Association, this report is presented without attribution to particular authors.


2013 ◽  
Vol 760-762 ◽  
pp. 876-880
Author(s):  
Xiao Ping Li ◽  
Feng Liu ◽  
Xiao Jun Wang ◽  
Yong Liang Hu

The behavior analysis in intelligent control, human-computer interaction, video conferencing has a wide range of applications, it has become one of the most attractive areas in computer vision. The main purpose is to extract movement information from the video, and then conduct the analysis and identification. This paper is based on behavior analysis of the status quo, applies the idea of parameter to behavior analysis. According to human skeleton extracted from the video sequence, we can determine the limb endpoints and joint points, and establish a parametric equation to describe human behavior state. Tracking one key point in different frames and recording coordinates, we can establish a cubic spline function to describe the human motion trajectory.


1995 ◽  
Vol 04 (03) ◽  
pp. 413-432 ◽  
Author(s):  
NICHOLAS MARCHALLECK ◽  
ABRAHAM KANDEL

The purpose of this paper is to provide a survey of state of the art fuzzy logic applications in the field of transportation, illustrating the usefulness, and the promising future of the fuzzy approach. The majority of the discussion covers the area of fuzzy control. A wide range of Fuzzy Logic Controllers (FLCs) is discussed, ranging from traffic, to aircraft controllers. Although the majority of applications are to surface transportation, surveys of several aerospace applications are also given.


2020 ◽  
Vol 21 (4) ◽  
pp. 779-784
Author(s):  
G.I. Barylo ◽  
M.S. Ivakh ◽  
Z.M. Mykytiuk ◽  
I.P. Kremer

The work is devoted to the development of medical systems for monitoring biomedical indicators. The problem of developing a universal hardware software-controlled control system for the diagnosis of biological objects is solved. The main requirements for such a system are a wide range of functionality for combining different methods of measurement transformation and compliance with modern trends in the development of microelectronic sensors. Given the requirements for modern microcircuitry, in particular for sensing devices of the Internet of Things, the signal path of the sensors is implemented on the basis of PSoC family 5LP Family Cypress. Approbation of the developed system is carried out in the course of research of the character of optical radiation in the course of measurement of biomedical indicators.


2021 ◽  
Vol 9 ◽  
Author(s):  
Brett Snider ◽  
Edward A. McBean ◽  
John Yawney ◽  
S. Andrew Gadsden ◽  
Bhumi Patel

The Severe Acute Respiratory Syndrome Coronavirus 2 pandemic has challenged medical systems to the brink of collapse around the globe. In this paper, logistic regression and three other artificial intelligence models (XGBoost, Artificial Neural Network and Random Forest) are described and used to predict mortality risk of individual patients. The database is based on census data for the designated area and co-morbidities obtained using data from the Ontario Health Data Platform. The dataset consisted of more than 280,000 COVID-19 cases in Ontario for a wide-range of age groups; 0–9, 10–19, 20–29, 30–39, 40–49, 50–59, 60–69, 70–79, 80–89, and 90+. Findings resulting from using logistic regression, XGBoost, Artificial Neural Network and Random Forest, all demonstrate excellent discrimination (area under the curve for all models exceeded 0.948 with the best performance being 0.956 for an XGBoost model). Based on SHapley Additive exPlanations values, the importance of 24 variables are identified, and the findings indicated the highest importance variables are, in order of importance, age, date of test, sex, and presence/absence of chronic dementia. The findings from this study allow the identification of out-patients who are likely to deteriorate into severe cases, allowing medical professionals to make decisions on timely treatments. Furthermore, the methodology and results may be extended to other public health regions.


Buddhism ◽  
2014 ◽  
Author(s):  
C. Pierce Salguero

Knowledge about physical health and disease has held a central place within Buddhist thought, and healing has remained a persistent part of Buddhist practice since the earliest times. Though there is no universally agreed-upon term, Buddhist perspectives on health, disease, healers, patients, and therapies are typically spoken of by East Asian scholars and devotees as “Buddhist medicine” (Ch. foyi佛醫 or fojiao yixue佛教醫學, Jp. bukkyō igaku仏教医学), and this terminology is used here as a convenient shorthand for a complex topic. The earliest expressions of medical doctrine in Indian Buddhist texts are closely related to ideas found in Āyurveda and have suggestive similarities with other Eurasian medical systems (including Hippocratic, Galenic, and Islamic medicine) as well. Integrated into Buddhist philosophy, meditation, and ritual, these core doctrines and perspectives were influential in India and China, and they came to be spread as far as Iran, Mongolia, Japan, and Indonesia. Healer-monks and monastic medical institutions played a major role in this dissemination, as did the large-scale translation of texts concerning a wide range of Buddhist medical topics. In the early 21st century, many of the ideas and practices imported from India continue to lie at the foundation of traditions of medicine in Tibet, Nepal, Thailand, Sri Lanka, and other parts of Buddhist Asia. At the same time that Buddhist medicine can be understood as a transnational or cross-cultural phenomenon, however, it has always been reinterpreted locally through the lenses of the many cultures that have adopted it. Historians working on Buddhist medicine have thus focused both on the transmission of medical knowledge to new cultures and societies, as well as on the unique ideological and rhetorical uses of Buddhism by medical practitioners in many specific historical and modern settings. Social scientists have studied the degree to which Buddhist values continue to inform health policy in Asian countries and the complexities of the relationship between Buddhism and biomedicine. This article includes a selective range of scholarship on the history and modern relationship between Buddhism and medicine, with a focus on the former. Scientific studies on the health benefits of meditation, health policy advocacy, and works of a nonscholarly nature geared toward practitioners and devotees are excluded. Also omitted are topics tangential to matters of physical health, such as mental health, conceptions of the body, bioethics, the science of meditation, and so forth. Many publications of all of the above types are available and are covered in other Oxford Bibliographies in Buddhism articles, such as “Buddhism in Psychology and Psychotherapy,” “Buddhism and the Body,” and “Meditation.”


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