scholarly journals Advanced Intelligent Control through Versatile Intelligent Portable Platforms

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3644
Author(s):  
Luige Vladareanu
Keyword(s):  
Computer Vision ◽  
Decision Support ◽  
Intelligent Control ◽  
Process Mining ◽  
Real Time Control ◽  
Time Control ◽  
Intelligent Sensors ◽  
Intelligent Decision Support Systems ◽  
Intelligent Communication ◽  
Adaptive Sensor Networks

Deep research and communicating new trends in the design, control and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this research. The innovative multi-sensor fusion techniques, integrated through the Versatile Intelligent Portable (VIP) platforms are developed, combined with computer vision, virtual and augmented reality (VR&AR) and intelligent communication, including remote control, adaptive sensor networks, human-robot (H2R) interaction systems and machine-to-machine (M2M) interfaces. Intelligent decision support systems (IDSS), including remote sensing, and their integration with DSS, GA-based DSS, fuzzy sets DSS, rough sets-based DSS, intelligent agent-assisted DSS, process mining integration into decision support, adaptive DSS, computer vision based DSS, sensory and robotic DSS, are highlighted in the field of advanced intelligent control.

Fuzzy Logic-Based Intelligent Control System for Active Ankle Foot Orthosis

2015 ◽  
pp. 248-279 ◽  
Author(s):  
M. Kanthi
Keyword(s):  
Control System ◽  
Data Acquisition ◽  
Intelligent Control ◽  
Control Unit ◽  
Real Time Control ◽  
Gait Patterns ◽  
Ankle Foot Orthosis ◽  
Intelligent Control System ◽  
Time Control ◽  
Foot Orthosis

The Ankle Foot Orthosis (AFO) is an orthotic device intended to assist or to restore the movements of the ankle foot complex in the case of pathological gait. Active AFO consists of sensor, controller, and actuator. The controller used in the conventional AFO to control the actuator does not use the property of synchronization of the feet. This chapter deals with development of a fuzzy-based intelligent control unit for an AFO using property of symmetry in the foot movements. The control system developed in LabVIEW provides real-time control of the defective foot by continuously monitoring the gait patterns. The input signals for the control system are generated by the sensor system having gyroscope. DC motor is used as an actuator. The data acquisition for Gait Analysis is done using National Instrument's data acquisition system DAQ6221 interfaced with a gyro-sensor.

scholarly journals The open real-time control (RTC)-Tools software framework for modeling RTC in water resources sytems

2014 ◽  
Vol 17 (1) ◽  
pp. 130-148 ◽  
Author(s):  
D. Schwanenberg ◽  
B. P. J. Becker ◽  
M. Xu
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
Feedback Control ◽  
Real Time ◽  
Large Scale ◽  
Water Systems ◽  
Software Framework ◽  
River Rhine ◽  
Real Time Control ◽  
Time Control

Real-time control-Tools is a novel software framework for modeling real-time control and decision support in water resources systems. It integrates different control paradigms ranging from simple feedback control strategies with triggers, operating rules and controllers to advanced optimization-based approaches such as model predictive control (MPC). A key feature of the package is the modular integration of modeling components, related adjoint models, and optimization algorithms which makes it well suited for the control of large-scale water systems. Interfaces enable its integration into Supervisory Control and Data Acquisition systems, operational stream flow forecasting, and decision support systems as well as hydraulic modeling packages. This paper presents an overview of the novel software framework, gives an introduction into the underlying control theory for which it has been developed and discusses the related software architecture. A first case describes an innovative combination of binary decision trees and feedback control in application to the modeling of a highly regulated River Rhine reach along the German–French border. Two additional cases present the efficient application of MPC to the short-term management of two large-scale water systems in the Netherlands and the USA.

scholarly journals Absensi Kehadiran Menggunakan Kamera Pengawas Berbasis Teknologi Computer Vision

JURNAL TIKA ◽  
2021 ◽  
Vol 6 (02) ◽  
pp. 140-146
Author(s):  
Dedy Armiady
Keyword(s):  
Computer Vision ◽  
Feature Extraction ◽  
Face Recognition ◽  
Real Time ◽  
Face Detection ◽  
Transport Protocol ◽  
Real Time Control ◽  
Time Control ◽  
Data User ◽  
Ip Camera

Sistem dapat menggunakan IP Camera maupun CCTV, IP Camera membutuhkan kabel UTP untuk melakukan komunikasi data, sementara CCTV membutuhkan kabel Coaxial. Pengenalan wajah dilakukan melalui tahap Face Detection, Feature Extraction dan Face Recognition, selanjutnya dicocokkan dengan data profil yang tersimpan di dalam Database. Untuk mendeteksi wajah diperlukan OpenCV yang ditanamkan ke dalam sistem. OpenCV adalah sebuah library (perpustakaan) yang digunakan untuk mengolah gambar dan video hingga kita mampu mengekstrak informasi di dalamnya. OpenCV dapat berjalan di berbagai bahasa pemrograman, seperti C, C++, Java, Python, dan juga didukung di berbagai platform seperti Windows, Linux, Mac OS, iOS dan Android. Setiap pengguna sistem Absensi Face Recognition perlu dilakukan registrasi terlebih dahulu 1 (satu) persatu, dan sistem melakukan Training dari video setiap pengguna yang didaftarkan dan dibuat Source Base dalam bentuk foto dan disimpan di komputer server sebagai menjadi pembanding dan mendeteksi wajah dari berbagai sudut kamera nantinya. Database digunakan adalah MySQL dengan data yang ditampung adalah informasi data wajah, data jadwal, data User serta data informasi absensi. Koneksi untuk CCTV menggunakan RTSP yang merupakan jaringan komputer yang dirancang untuk kebutuhan multimedia dan sistem komunikasi data, yang dapat yang dapat mengendalikan aliran media dari server. Protokol ini digunakan untuk menetapkan dan mengendalikan sesi media antara dua titik ujungnya. Sebagian besar server RTSP menggunakan Real-time Transport Protocol (RTP) yang saling melengkapi dengan Real-time Control Protocol (RTCP) untuk pengiriman aliran media. Sementara itu penggunaan IP Camera atau Kamera IP adalah kamera dengan basis Internet Protocol, jenis kamera video digital yang menerima data kontrol dan mengirimkan data gambar melalui jaringan IP. biasanya digunakan untuk pengawasan tetapi berbeda dengan kamera analog Closed-circuit Television (CCTV), yang mana tidak memerlukan perangkat perekaman lokal, namun hanya jaringan area lokal. Kebanyakan kamera IP adalah Webcam, tetapi istilah kamera IP atau Netcam biasanya hanya berlaku untuk kamera yang dapat langsung diakses melalui koneksi jaringan dan dapat digunakan untuk kamera pengawasan.

Intelligent Real-Time Control in Manufacturing and Supply Chain Processes

2014 ◽  
Vol 1039 ◽  
pp. 677-685
Author(s):  
Jan Ola Strandhagen ◽  
Emrah Arica ◽  
Heidi C. Dreyer
Keyword(s):  
Decision Support ◽  
Production Scheduling ◽  
Theory And Practice ◽  
Practical Case ◽  
Scheduling Theory ◽  
Real Time Control ◽  
Design And Implementation ◽  
Time Control ◽  
Control Under Uncertainty ◽  
And Control

Production scheduling and control under uncertainty is among the most persistent challenges in the field of operation management. Despite the significant amount of research in this domain, many studies still underline the gap between scheduling theory and practice. In this paper, we outline the important aspects to consider in the design and implementation of decision support systems for the scheduling task by reviewing the literature. From the identified guidelines, we examine a practical case and propose a decision support system for the production scheduling task in an actual manufacturing environment.

Fuzzy Logic-Based Intelligent Control System for Active Ankle Foot Orthosis

Fuzzy Systems ◽  
2017 ◽  
pp. 1203-1236
Author(s):  
M. Kanthi
Keyword(s):  
Control System ◽  
Data Acquisition ◽  
Intelligent Control ◽  
Control Unit ◽  
Real Time Control ◽  
Gait Patterns ◽  
Ankle Foot Orthosis ◽  
Intelligent Control System ◽  
Time Control ◽  
Foot Orthosis

The Ankle Foot Orthosis (AFO) is an orthotic device intended to assist or to restore the movements of the ankle foot complex in the case of pathological gait. Active AFO consists of sensor, controller, and actuator. The controller used in the conventional AFO to control the actuator does not use the property of synchronization of the feet. This chapter deals with development of a fuzzy-based intelligent control unit for an AFO using property of symmetry in the foot movements. The control system developed in LabVIEW provides real-time control of the defective foot by continuously monitoring the gait patterns. The input signals for the control system are generated by the sensor system having gyroscope. DC motor is used as an actuator. The data acquisition for Gait Analysis is done using National Instrument's data acquisition system DAQ6221 interfaced with a gyro-sensor.

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