scholarly journals Robotic and Non-Robotic Control of Astrophysical Instruments

2010 ◽  
Vol 2010 ◽  
pp. 1-6 ◽  
Author(s):  
Gerd Küveler ◽  
Van Dung Dao ◽  
Axel Zuber ◽  
Renzo Ramelli
Keyword(s):  
Solar Observatory ◽  
Robotic Control ◽  
Script Language ◽  
Control Software ◽  
Control Programs ◽  
Astronomical Instruments ◽  
Routine Tasks ◽  
The Individual ◽  
Automated Processes ◽  
Complex Measuring

We present a system of device control programs, developed for the solar observatory at Locarno/Switzerland (IRSOL). Because these programs are implemented as servers—clearly separated from the higher levels—scientific instruments, for example, telescopes, can be operated both in a user-controlled mode (GUI,telnet) and in a fully automated mode by use of a script. Astronomical instruments such as telescopes or spectrographs will be responded to by ASCII command strings, which are the same for all clients. In case a device control software does not support multiclient operation or in case it is used together with other devices in a complex measuring procedure, it is worthwhile implementing an intermediate layer that relieves the individual device control servers of routine tasks and provides for a safer operational sequence. In addition, the system may make use of an easy-to-learn script language specialised for controlling fully automated processes.

scholarly journals HEALS: A Faith-Based Hypertension Control and Prevention Program for African American Churches: Training of Church Leaders as Program Interventionists

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Sunita Dodani ◽  
Debra Sullivan ◽  
Sydney Pankey ◽  
Catherine Champagne
Keyword(s):  
Prevention Program ◽  
Role Playing ◽  
Church Health ◽  
Health Educators ◽  
Hypertension Control ◽  
Control Programs ◽  
Hands On ◽  
Control And Prevention ◽  
Behavior Modifications ◽  
The Individual

Background. A 12-session church-based HEALS program (healthy eating and living spiritually) was developed for hypertension control and prevention program in African Americans (AAs). This study presents specifics of training lay health educators to effectively deliver HEALS to high-risk AAs.Methods. A one-day workshop was conducted by the research experts in an AA church. Five church members were recruited to be program interventionists called church health counselors (CHCs).Results. Using principles of adult education, a training protocol was developed with the intention of recognizing and supporting CHCs skills. CHCs received training on delivering HEALS program. The process of training emphasized action methods including role playing and hands-on experience with diet portion measurements.Conclusion. With adequate training, the community lay health educator can be an essential partner in a community-based hypertension control programs. This may motivate program participants more and encourages the individual to make the behavior modifications on a permanent basis.

scholarly journals THE RADAR ARCHITECTURE FOR PERSONAL COGNITIVE ASSISTANCE

2007 ◽  
Vol 17 (02) ◽  
pp. 171-190 ◽  
Author(s):  
DAVID GARLAN ◽  
BRADLEY SCHMERL
Keyword(s):  
Agent Architecture ◽  
Weak Support ◽  
Alternative Vision ◽  
Cognitive Assistance ◽  
Routine Tasks ◽  
Key Features ◽  
The Individual ◽  
High Level ◽  
Legacy Applications ◽  
Over Time

Current desktop environments provide weak support for carrying out complex user-oriented tasks. Although individual applications are becoming increasingly sophisticated and feature-rich, users must map their high-level goals to the low-level operational vocabulary of applications, and deal with a myriad of routine tasks (such as keeping up with email, keeping calendars and websites up-to-date, etc.). An alternative vision is that of a personal cognitive assistant. Like a good secretary, such an assistant would help users accomplish their high-level goals, coordinating the use of multiple applications, automatically handling routine tasks, and, most importantly, adapting to the individual needs of a user over time. In this paper we describe the architecture and its implementation for a personal cognitive assistant called RADAR. Key features include. (a) extensibility through the use of a plug-in agent architecture. (b) transparent integration with legacy applications and data of today's desktop environments, and. (c) extensive use of learning so that the environment adapts to the individual user over time.

Design of Instrument Control Software for Solar Vector Magnetograph at Udaipur Solar Observatory

2004 ◽  
Vol 18 (1-3) ◽  
pp. 31-38 ◽  
Author(s):  
Sanjay Gosain ◽  
P. Venkatakrishnan ◽  
K. Venugopalan
Keyword(s):  
Solar Observatory ◽  
Control Software ◽  
Instrument Control

scholarly journals A Custom Robotic ARM in CoppeliaSim

2021 ◽  
pp. 38-50
Author(s):  
Sudip Chakraborty ◽  
P. S. Aithal
Keyword(s):  
Inverse Kinematics ◽  
Best Practice ◽  
Human Life ◽  
Robotic Arm ◽  
Research Purpose ◽  
Script Language ◽  
Step Procedure ◽  
Simulation Based ◽  
Real Robot ◽  
The Individual

Purpose: For robotics research, we require the robot to test our functions, Logics, algorithms, tasks, etc. Generally, we do not experiment with the practical robot. The primary issue is Practical robots are costly. The individual researcher usually cannot afford it. The second one is, the test with the real robot is risky and can damage property, human life, and itself due to bugs in the program or abnormal activity. So, it is best practice to experiment in Simulator first. When the algorithm is finalized, it can be implemented into a real robot. A researcher who starts the Robotics research, the learning curve is too long to develop a workable robot in Simulator. This paper demonstrates how we can easily create a 7 Degree of Freedom (DOF) custom robot for our research purpose. We will use the CoppeliaSim robot simulator for this purpose. It is free, opensource, and entirely GUI-based. We can create a robot without writing any code using this software. Design/Methodology/Approach: Here we describe to develop a custom robot. At first, we created a DH parameter for our robot. Then following the step-by-step procedure, the robot is created. After creating, we can attach our code on any object using LUA script language. To control the robot from external world, we can connect through TCP/IP socket communication. Establishing the communication, our robot will move depending on processed algorithm. Findings/Result: The robotic arm researcher needs robotics arm to test their forward kinematics, Inverse kinematics, statics, dynamics etc. code. Here we design our custom robots for research purpose. Originality/Value: Using CoppeliaSim, we can design custom robot for our research. Paper Type: Simulation based Research

scholarly journals Dispatching of Robotic Control Programs

2016 ◽  
Vol 3 (2) ◽  
pp. 14-24 ◽  
Author(s):  
E.V. Larkin ◽  
◽  
V.V. Kotov ◽  
A.N. Ivutin ◽  
A.N. Privalov ◽  
...  
Keyword(s):  
Robotic Control ◽  
Control Programs

scholarly journals Concurrent design of control software and configuration of hardware for robot swarms under economic constraints

2019 ◽  
Vol 5 ◽  
pp. e221 ◽  
Author(s):  
Muhammad Salman ◽  
Antoine Ligot ◽  
Mauro Birattari
Keyword(s):  
Automatic Design ◽  
Control Software ◽  
Experimental Conditions ◽  
Robot Swarm ◽  
Software Configuration ◽  
Robot Swarms ◽  
Battery Capacity ◽  
Finite State ◽  
The Individual ◽  
Economic Constraints

Designing a robot swarm is challenging due to its self-organized and distributed nature: complex relations exist between the behavior of the individual robots and the collective behavior that results from their interactions. In this paper, we study the concurrent automatic design of control software and the automatic configuration of the hardware of robot swarms. We introduce Waffle, a new instance of the AutoMoDe family of automatic design methods that produces control software in the form of a probabilistic finite state machine, configures the robot hardware, and selects the number of robots in the swarm. We test Waffle under economic constraints on the total monetary budget available and on the battery capacity of each individual robot comprised in the swarm. Experimental results obtained via realistic computer-based simulation on three collective missions indicate that different missions require different hardware and software configuration, and that Waffle is able to produce effective and meaningful solutions under all the experimental conditions considered.

Instructor Performance Prediction Model Using Artificial Intelligence for Higher Education Systems

2021 ◽  
Author(s):  
Shuping Xiao ◽  
A. Shanthini ◽  
Deepa Thilak
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Decision Making ◽  
Prediction Model ◽  
Education Systems ◽  
Higher Education Systems ◽  
Routine Tasks ◽  
Instructor Performance ◽  
The Individual

Recent advancements in Artificial Intelligence techniques, including machine learning models, have led to the expansion of prevailing and practical prediction simulations for various fields. The quality of teachers’ performance mainly influences the quality of educational services in universities. One of the major challenges of higher education institutions is the increase of data and how to utilize them to enhance the academic program’s quality and administrative decisions. Hence, in this paper, Artificial Intelligence assisted Multi-Objective Decision-Making model (AI-MODM) has been proposed to predict the instructor’s performance in the higher education systems. The proposed AI-assisted prediction model analyzes the numerical values on various elements allocated for a cluster of teachers to evaluate an overall quality evaluation representing the individual instructor’s performance level. Instead of replacing teachers, AI technologies would increase and motivate them. These technologies would reduce the time necessary for routine tasks to enable the faculty to focus on teaching and analysis. The usage for administrative decision-making of artificial intelligence and associated digital tools. The experimental results show that the suggested AI-MODM method enhances the accuracy (93.4%), instructor performance analysis (96.7%), specificity analysis (92.5%), RMSE (28.1 %), and precision ratio (97.9%) compared to other existing methods.

Simultaneous Detection of Morphine and Barbiturates in Urine by Radioimmunoassay

1975 ◽  
Vol 21 (10) ◽  
pp. 1378-1382 ◽  
Author(s):  
M Usategui-Gomez ◽  
J E Heveran ◽  
R Cleeland ◽  
B McGhee ◽  
Z Telischak ◽  
...  
Keyword(s):  
Sensitivity And Specificity ◽  
False Positive ◽  
Simple Procedure ◽  
Simultaneous Detection ◽  
Small Scale ◽  
Similar Response ◽  
Response Curves ◽  
The Individual ◽  
Automated Processes ◽  
Urine Specimens

Abstract This report describes a radioimmunoassay for the simultaneous detection of morphine and barbiturates. Morphine and barbiturate antibodies, obtained from goats, were mixed with 125I-labeled antigens. By adjusting concentrations of the morphine and barbiturate antibodies and radiolabeled antigens, closely superimposed standard curves for the two drugs would be obtained. As a consequence, similar response curves were obtained for urine specimens containing morphine or barbiturates. Although concentrations as low as 25 µg/liter could be measured, to ensure against false positive reactions the test should be performed at the 100 µg/liter concentration. Unknown samples positive by the dual assay were confirmed by separately testing the specimens with the individual radioimmunoassay specific for morphine or barbiturate. Equivalency tests of urines positive for morphine, positive for barbiturates, or negative for both demonstrated complete correlation between the single and dual assays. The mixed reagent retained its sensitivity and specificity for at least three months when stored at 4 or 25 °C. The dual radioimmunoassay is a rapid, simple procedure that can be adapted to automated processes and that is suitable for largeand small-scale screening.

scholarly journals Occupations and the Non-Standard Employment Career: How the Occupational Skill Level and Task Types Influence the Career Outcomes of Non-Standard Employment

2020 ◽  
Vol 34 (3) ◽  
pp. 495-513
Author(s):  
Lucille Mattijssen ◽  
Dimitris Pavlopoulos ◽  
Wendy Smits
Keyword(s):  
Skill Level ◽  
Career Outcomes ◽  
Income Security ◽  
Routine Tasks ◽  
Manual Tasks ◽  
The Individual ◽  
High Level ◽  
Task Types ◽  
Occupational Skill ◽  
And Task

This article examines to what extent the occupational skill level and task types determine whether non-standard employment (NSE) leads to a stepping-stone or a trap in the careers of workers. For this purpose, a typology of the individual careers of workers in the Netherlands who entered non-standard employment in 2007 is created using multichannel sequence analysis. This typology allows for classifying careers in terms of employment security and income security. An analysis of this typology shows that working in occupations with high-level tasks does not preclude trap careers with low levels of employment and income security. Routine tasks do not have an unequivocal effect on career outcomes, while manual tasks generally lead to trap careers. The combination of routine and manual tasks makes it most likely for NSE to function as a trap in workers’ careers.

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