Simulation of the Hydraulic Support System and the Constant Pressure Liquid Supply Based on Intelligent Systems

2019 ◽  
pp. 293-298
Author(s):  
Mei Sun ◽  
Jianping Tan
Keyword(s):  
Support System ◽  
Intelligent Systems ◽  
Constant Pressure ◽  
Hydraulic Support

Rule-Based Systems for Medical Diagnosis

2015 ◽  
pp. 21-44
Author(s):  
V. S. Giridhar Akula
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Support System ◽  
Medical Diagnosis ◽  
Intelligent Systems ◽  
Inference Rules ◽  
Rule Based ◽  
Rule Based System ◽  
Fault Monitoring ◽  
Design Scheduling

A rule-based system is a set of “if-then” statements that uses a set of assertions, to which rules on how to act upon those assertions are created. Rule-based expert systems have played an important role in modern intelligent systems and their applications in strategic goal setting, planning, design, scheduling, fault monitoring, diagnosis, and so on. The theory of decision support system is explained in detail. This chapter explains how the concepts of fuzzy logic are used for forward and backward chaining. Patient data is analyzed with the help of inference rules.

Real-Time Gaze-Aware Cognitive Support System for Security Surveillance

2020 ◽  
Vol 64 (1) ◽  
pp. 1145-1149
Author(s):  
Alexandre Marois ◽  
Daniel Lafond ◽  
Alexandre Williot ◽  
François Vachon ◽  
Sébastien Tremblay
Keyword(s):  
Visual Search ◽  
Real Time ◽  
Support System ◽  
Intelligent Systems ◽  
Incident Detection ◽  
Task Interruption ◽  
Scanning Behavior ◽  
Security Surveillance ◽  
The Impact ◽  
Scan Pattern

Security surveillance entails many cognitive challenges (e.g., task interruption, vigilance decrements, cognitive overload). To help surveillance operators overcome these difficulties and perform more efficient visual search, gaze-based intelligent systems can be developed. The present study aimed at testing the impact of the Scantracker system—which pinpointed neglected cameras while detecting and correcting attentional tunneling and vigilance decrease—on human scanning behavior and surveillance performance. Participants took part in a surveillance simulation, monitoring cameras and searching for ongoing incidents, and half of them was supported by the Scantracker. Although behavioral surveillance performance was not improved, participants supported by the Scantracker showed more efficient gaze-based measures of surveillance. Moreover, some of these measures were associated with performance, suggesting that scan pattern improvements might lead indirectly to more efficient incident detection. Overall, these results speak to the potential of using gaze- aware intelligent systems to support surveillance operators.

scholarly journals Designing a hydraulic support system for large monolithic mirror’s precise in-situ testing-polishing iteration

2019 ◽  
Vol 27 (3) ◽  
pp. 3746
Author(s):  
Haifei Hu ◽  
Xiao Luo ◽  
Zhenyu Liu ◽  
Xuejun Zhang ◽  
Donglin Xue ◽  
...  
Keyword(s):  
Support System ◽  
In Situ Testing ◽  
Hydraulic Support

scholarly journals Experimental validation of hydraulic support system for large structures

2021 ◽  
Author(s):  
Tomoya HATTORI ◽  
Noboru KAWAGUCHI ◽  
Yutaka EZAKI ◽  
Junji TAKAKI ◽  
Masao SAITO ◽  
...  
Keyword(s):  
Support System ◽  
Experimental Validation ◽  
Hydraulic Support ◽  
Large Structures

PRINCIPLES AND ARCHITECTURE OF THE SPECIALIZED SHELL FOR BUILDING INTELLIGENT SYSTEMS FOR TREATMENT PRESCRIBE

2020 ◽  
Author(s):  
Valeriya Gribova ◽  
Dmitriy Okun' ◽  
Roman Kovalev
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Intelligent Systems ◽  
Personalized Treatment ◽  
Medical Decision ◽  
Medical Terminology ◽  
Basic Principles ◽  
Medical Decision Support ◽  
Ontological Approach

The paper describes the basic principles of development and architecture of an intelligent medical decision support system based on a specialized shell. The system allows you to prescribe a personalized treatment in various fields of medicine. The system is based on the ontological approach and uses generally accepted medical terminology to form knowledge

scholarly journals Sistem Pendukung Keputusan Prediksi Kecepatan Studi Mahasiswa Menggunakan Metode ID3

2011 ◽  
Vol 2 (2) ◽  
Author(s):  
Ronny Ardi Giovani ◽  
Paulus Mudjihartono ◽  
Pranowo Pranowo
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Computer Science ◽  
Support System ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Speed Prediction ◽  
Past Data ◽  
Tree Development

Abstract. Decision Support System of Students’ Study Speed Prediction Using ID3 Method. Speed can be a decisive period of study a student taking a degree in sajana. In this study would be built applications that serve to speed decision making predictions Students study Computer Science University of Atma Jaya Yogyakarta. Students will be expected sooner or later than the period of study by taking one course or thesis that will be undertaken after a certain semesters. There are many methods of classification of one method of ID3 (Induction Decision 3 'Tree'). Development system in this study made use of intelligent systems-based applications. The results achieved after the system is formed, among others, sophisticated and intelligent system capable of storing past data is used as a reference for decision making, where students with certain criteria can know the travel time of their studies, and can refer to the database so the system can be more detailed and rigorous in determining the choice. Keywords: study period speed, Decision Support Systems, ID3, Intelligent Systems Kecepatan masa studi dapat menjadi penentu seorang mahasiswa dalam menempuh gelar sajana. Dalam penelitian ini akan dibangun aplikasi yang berfungsi untuk pengambilan keputusan prediksi kecepatan studi Mahasiswa Teknik Informatika Universitas Atma Jaya Yogyakarta. Mahasiswa akan diprediksi  cepat atau lambatnya masa studi dalam menempuh mata kuliah maupun skripsi yang akan dijalani setelah semester tertentu. Ada banyak metode klasifikasi salah satunya metode ID3 (Induction Decision 3 ‘Tree’). Pembangunan sistem dalam penelitian ini dibuat menggunakan aplikasi berbasis sistem  cerdas. Hasil yang dicapai setelah sistem ini terbentuk antara lain sistem canggih dan cerdas yang mampu menyimpan data masa lalu yang digunakan sebagai acuan pengambilan keputusan, dimana mahasiswa dengan kriteria tertentu dapat diketahui masa tempuh studi mereka, serta dapat mengacu pada database sehingga sistem dapat lebih detail serta teliti dalam menentukan pilihan. Kata Kunci: kecepatan masa studi, Sistem Pendukung Keputusan, ID3, Sistem Cerdas

Rule-Based Systems for Medical Diagnosis

Fuzzy Systems ◽  
2017 ◽  
pp. 906-933
Author(s):  
V. S. Giridhar Akula
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Support System ◽  
Medical Diagnosis ◽  
Intelligent Systems ◽  
Inference Rules ◽  
Rule Based ◽  
Rule Based System ◽  
Fault Monitoring ◽  
Design Scheduling

A rule-based system is a set of “if-then” statements that uses a set of assertions, to which rules on how to act upon those assertions are created. Rule-based expert systems have played an important role in modern intelligent systems and their applications in strategic goal setting, planning, design, scheduling, fault monitoring, diagnosis, and so on. The theory of decision support system is explained in detail. This chapter explains how the concepts of fuzzy logic are used for forward and backward chaining. Patient data is analyzed with the help of inference rules.

Intelligent Educational Support System

2015 ◽  
pp. 32-46 ◽  
Author(s):  
Duygu Mutlu-Bayraktar
Keyword(s):  
Academic Success ◽  
Support System ◽  
Intelligent Systems ◽  
Career Planning ◽  
Intelligent System ◽  
Education Sector ◽  
Educational Support ◽  
Academic Orientation ◽  
Meal Time ◽  
Educational Support System

Increasing student numbers lead to new needs in the education sector. New systems are needed due to expert numbers that are insufficient in specialties, such as instructors, directors, and advisors. Type, goal, and specialty of intelligent systems programmed to satisfy this need are being developed with each passing day. The aim of this chapter is to develop an intelligent system that provides support with schedule, academic orientation, choice of profession, and career planning to students. To make a regular schedule for students would generally cause an inappropriate program, which is hardly followed by students in case they were indiscriminately prepared without any information about students' characteristics. Instead of this method, it is the point to be familiar with the academic success, study, resting, and even meal time of the student, and to know which lessons are studied on which days and to make an appropriate schedule for studying. According to the teachers, it is time-consuming and difficult to perform this method for all students. Within this scope, an intelligent system preparing a study schedule is developed considering the students' characteristics and study habits.

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