AN APPROACH TO LINGUISTIC INSTRUCTION BASED LEARNING

1993 ◽  
Vol 01 (01) ◽  
pp. 19-56 ◽  
Author(s):  
MICHIO SUGENO ◽  
GYEI-KARK PARK
Keyword(s):  
Control Problem ◽  
Learning Process ◽  
Flight Control ◽  
Fuzzy Theory ◽  
Human Learning ◽  
Fuzzy Evaluation ◽  
Helicopter Flight ◽  
Language Environment ◽  
The Given ◽  
Fuzzy Learning

In this paper, we notice the fact that a human learning process is characterized by a process under a natural language environment, and discuss an approach of learning based on indirect linguistic instructions. An instruction is interpreted through some meaning elements and each trend. Fuzzy evaluation rules are constructed for the searched meaning elements of the given instruction, and the performance of a system to be learned is improved by the evaluation rules. In this paper, we propose a framework of learning based on indirect linguistic instruction based learning using fuzzy theory: FULLINS(FUzzy-Learning based on Linguistic INStruction). The validity of FULLINS is shown by applying it to two control examples: truck backer-upper control and helicopter flight control problem.

MODIFIKASI MODEL PEMBELAJARAN TEAM ASSISTED INDIVIDUALIZATION DENGAN STRATEGI PEMBELAJARAN TUGAS DAN PAKSA

2019 ◽  
Vol 2 ◽  
Author(s):  
Lea Christy Restu Kinasih ◽  
Dewi Fatimah ◽  
Veranica Julianti
Keyword(s):  
Cooperative Learning ◽  
Learning Strategies ◽  
Learning Process ◽  
Learning Model ◽  
Learning Models ◽  
Classroom Learning ◽  
Quality Of Learning ◽  
The Given

The selection and determination of appropriate learning strategies can improve the results to be obtained from the application of classroom learning models. This writing aims to discipline students to develop individual abilities of students to be more active in the learning process and improve the quality of learning. The learning process in Indonesia in general only uses conventional learning models that make students passive and undeveloped. In order for the quality of learning to increase, the Team Assisted Individualization learning model is combined with the task learning and forced strategies. The Team Assisted Individualization cooperative learning model is one of the cooperative learning models that combines learning individually and in groups. Meanwhile, task and forced learning strategies are strategies that focus on giving assignments that require students to complete them on time so that the learning process can run effectively. Students are required to do assignments according to the given deadline. This makes students become familiar with the tasks given by the teacher. Combining or modifying the learning model of the assisted individualization team with forced and forced learning strategies is expected to be able to make students more active, disciplined, independent, creative in learning and responsible for the tasks assigned. Therefore this method of incorporation is very necessary in the learning process and can be applied to improve the quality of learning in schools.

scholarly journals Effect of Curriculum Planning for Physical Education in Colleges on Innovation Ability

2020 ◽  
Vol 15 (12) ◽  
pp. 103
Author(s):  
Huiqiu Guo
Keyword(s):  
Physical Education ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Curriculum Planning ◽  
Practical Significance ◽  
Fuzzy Evaluation ◽  
Promoting Effect ◽  
Innovation Ability ◽  
Fuzzy Evaluation Model ◽  
Current Curriculum

With poor integrity and unclear goals, the curriculum planning for physical education (PE) in colleges cannot effectively promote the innovation ability of students. To solve the problem, this paper attempts to clearly evaluate the effect of curriculum planning for college PE on the innovation ability of PE majors. Based on the defects of the current curriculum planning, the authors put forward several strategies and suggestions to enhance the promoting effect of college PE curriculum planning on innovation ability. Following the fuzzy theory, an index system and a fuzzy evaluation model were put forward to quantify the effect of college PE curriculum planning on innovation ability. The research results have great theoretical and practical significance.

Machine vision-based sensing for helicopter flight control

Robotica ◽  
2000 ◽  
Vol 18 (3) ◽  
pp. 299-303 ◽  
Author(s):  
Carl-Henrik Oertel
Keyword(s):  
Machine Vision ◽  
Measurement System ◽  
Flight Control ◽  
A Priori ◽  
Image Data ◽  
Two Dimensional ◽  
Position Measurement ◽  
Additional Information ◽  
Helicopter Flight ◽  
Template Tracking

Machine vision-based sensing enables automatic hover stabilization of helicopters. The evaluation of image data, which is produced by a camera looking straight to the ground, results in a drift free autonomous on-board position measurement system. No additional information about the appearance of the scenery seen by the camera (e.g. landmarks) is needed. The technique being applied is a combination of the 4D-approach with two dimensional template tracking of a priori unknown features.

Helicopter flight control compensator design

2017 ◽  
Author(s):  
Malika Yaici ◽  
Kamel Hariche ◽  
Tim Clarke
Keyword(s):  
Flight Control ◽  
Helicopter Flight ◽  
Compensator Design

High-Sideslip Model Reference Adaptive Flight Control for Aileron Locked Aircraft

2014 ◽  
Vol 651-653 ◽  
pp. 751-756
Author(s):  
Peng Fei Cheng ◽  
Cheng Fu Wu ◽  
Yue Guo
Keyword(s):  
Flight Control ◽  
Control Method ◽  
Reference Model ◽  
Sideslip Angle ◽  
Model Reference ◽  
Control Scheme ◽  
Adaptive Flight Control ◽  
Random Initialization ◽  
Model Reference Adaptive ◽  
The Given

This paper develops a high-sideslip flight control scheme based on model reference adaptive control (MRAC) to stabilize aircraft under aileron deadlock of one side. Firstly, the cascaded flight control scheme for high-sideslip straight flight is presented and how the control signals transfer is also analyzed. After that, the control structure and laws of MRAC for attitude inner-loop connected with sideslip command are designed. Finally, the control scheme is verified under a nonlinear aircraft model in conditions of no fault and one side aileron deadlock respectively. The simulation results show that when one side aileron deadlock occurs in accompany with the plant’s aerodynamic data perturbation and random initialization of controller parameters, this control method could utilize operation points of no-fault aircraft to force the faulty aircraft following the given reference model responses and finally tracking given sideslip angle command without static error robustly.

scholarly journals MENINGKATKAN HASIL BELAJAR SISWA PADA MATAPELAJARAN IPS DENGAN METODE MIND MAPPING

2016 ◽  
Vol 2 (02) ◽  
Author(s):  
Maya Kartika Sari
Keyword(s):  
Action Research ◽  
Social Science ◽  
Research Design ◽  
Learning Process ◽  
Teaching Method ◽  
Learning Experience ◽  
Learning Activities ◽  
Mind Mapping ◽  
Models Of Teaching ◽  
The Given

<div style="text-align: JUSTIFY;"><p>Social science has been viewed as naturally theoretic, which requires students to memorize all learned materials. The learning experience will be stucked in freez learning atmosphere when the teacher traditionally preeches and dictates against the students, as the teacher-centered approaches have run. This model of teaching produces passive students with low acheivement. In effort of dveloping the vivid learning experience, variative models of teaching must be applied by the teacher. Through this research, the researcher proposes Mind Mapping Teaching Method, hopping that the the students learning activities and achievement can be developed. Mind mapping teaching method can tentatively encourage student to be active, innovative, creative and imaginative along the way with the learning process. The application of mind mapping teaching method can hopefully develop students learning activities and achievement through the given action research design.<em></em></p></div>

scholarly journals STRATEGI GURU DALAM MENGOPTIMALKAN KECERDASAN MAJEMUK DI SEKOLAH DASAR

2021 ◽  
Vol 7 (1) ◽  
pp. 15
Author(s):  
Robiatul Munajah ◽  
Asep Supena
Keyword(s):  
Elementary Schools ◽  
Literature Review ◽  
Multiple Intelligences ◽  
Learning Process ◽  
Know How ◽  
Way Of Thinking ◽  
The Difference ◽  
The Given ◽  
Different Levels

The success of students in learning does not only depend on their own abilities. Several factors that can give effect need to be optimized. The teacher's strategy is very meaningful to optimize students' multiple intelligences according to the indicators that each student has. Every child in this world has various intelligences in different levels and indicators. This shows that all children, by nature, are intelligent. The difference lies in the level and indicators of intelligence. These differences are determined by various factors. One of them is the stimulation given when children learn in the learning process carried out by the teacher. The difference in intelligence among students demands a fair and existential way of thinking of educators. This research is a literature review to see more specifically the teacher's strategy in optimizing multiple intelligences in elementary schools based on research reference sources and books. Good educators are able to detect children's intelligence by observing the behavior, tendencies, interests, ways and qualities of children when reacting to the given stimulus. All indicators of intelligence can be recognized by educators to then make a profile of intelligence. Therefore, every teacher should know how to develop the intelligence of their students, by identifying each indicator of children's intelligence and realizing the importance of developing all the intelligences of their students. 

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