scholarly journals Experiences and Obstacles in Industrial Applications of Intelligent Systems

10.5772/36147 ◽  
2012 ◽  
Author(s):  
Leonardo M. ◽  
Valentina Coll
Keyword(s):  
Intelligent Systems ◽  
Industrial Applications

scholarly journals Overview of soft intelligent computing technique for supercritical fluid extraction

2020 ◽  
Vol 9 (2) ◽  
pp. 117
Author(s):  
Sitinoor Adeib Idris ◽  
Masturah Markom
Keyword(s):  
Supercritical Fluid Extraction ◽  
Supercritical Fluid ◽  
Intelligent Systems ◽  
Extraction Process ◽  
Industrial Applications ◽  
Physical Models ◽  
Experimental Result ◽  
Fluid Extraction ◽  
Computing Technique ◽  
Smart System

<span>Optimization of Supercritical Fluid Extraction process with mathematical modeling is essential for industrial applications. The response surface methodology (RSM) has been proven to be a useful and effective statistical method for studying the relationships between measured responses and independent factors. Recently there are growing interest in applying smart system or artificial technique to model and simulate a chemical process and also to predict, compute, classify and optimize as well as for process control. This system works by generalizing the experimental result and the process behavior and finally predict and estimate the problem. This smart system is a major assistance in the development of process from laboratory to pilot or industrial. The main advantage of intelligent systems is that the predictions can be performed easily, fast, and accurate way, which physical models unable to do. This paper shares several works that have been utilizing intelligent systems for modeling and simulating the supercritical fluid extraction process.</span>

Self-Powered Height Sensor With ZigBee Networks for Intelligent Systems

2018 ◽  
pp. 410-441
Author(s):  
Mochen Li ◽  
H. Henry Zhang ◽  
Li Tan ◽  
Wangling Yu
Keyword(s):  
Intelligent Systems ◽  
Industrial Applications ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Wireless Sensor Node ◽  
Rf Transceiver ◽  
Micro Electro Mechanical Systems ◽  
Framework Design ◽  
Processing Module ◽  
Self Powered

With the development of micro-electro-mechanical systems (MEMS), wireless communication technology, and embedded systems, wireless sensor network (WSN) has been a focus for research among various fields. Wireless sensor technology inspires many innovations for industrial applications and medical robots, and breaks many limitations and inconvenience for such sensing devices. A self-powered height sensing system with ZigBee technology is presented. It specifically targets to replace an original wired system with an integrated wireless sensor that is comprised of all necessary parts: sensing module, processing module, RF transceiver, and power supply. First, the authors present the system framework design including the layout of a wireless sensor node based on ZigBee. Second, with the vibration environment, a self-powered generator was developed through the comparison between piezoelectric and electromagnetic generation. Then several experiments are conducted to test and analyze the feasibility of the whole system. Finally, a future upgraded design is proposed to improve system performance.

scholarly journals Towards a context sensitive and secure routing for in MANETs (Mobile Ad-hoc Networks)

2013 ◽  
Vol 3 (2) ◽  
pp. 06-11
Author(s):  
Haboub Rachid ◽  
Dr. Mohammed Ouzzif
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Intelligent Systems ◽  
Ad Hoc ◽  
Environmental Control ◽  
Industrial Applications ◽  
Secure Routing ◽  
Malicious Nodes ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Mobile Ad-hoc Networks (MANETs) can be deployed quickly without any existing infrastructure. These networks are useful in many areas, such as emergency assistance, disaster relief, intelligent systems houses, patient monitoring, industrial applications, health monitoring, environmental control, military applications, etc. However ad-hoc networks face many challenges, such as the unpredictable mobility of the network, the limited amount of energy available, security challenges, low computational resources, low memory, etc. There is a need for routing approaches aware of those challenges. Thus, this work aims to provide a secure and context aware ad-hoc network, by changing the frequency of data transmission and routing the packets through reliable links. The proposed approaches has been tested, the results shows an interesting decrease of the transmission throughput coming from malicious nodes, a decrease in the packet loss and an increase of the network lifetime.

Selected Papers from ISCIIA'04

2005 ◽  
Vol 9 (6) ◽  
pp. 579-579
Author(s):  
Yaohong Kang ◽  
◽  
Shibin Zhao ◽  
Kazuhiko Kawamoto
Keyword(s):  
Neural Networks ◽  
Computational Intelligence ◽  
Intelligent Systems ◽  
Industrial Applications ◽  
Careful Consideration ◽  
Intelligence Community ◽  
Special Issue ◽  
Research Areas ◽  
Processing Control

This special issue contains 14 papers selected from the first International Symposium on Computational Intelligence and Industrial Applications (ISCIIA'04), held in Haikou, China, December 20-24, 2004. Of the 82 papers from 8 countries submitted to the symposium, 62 were accepted for the proceedings. Based on reviewer's recommendations and guest editor's careful consideration, the authors of 14 papers have revised and extended their symposium papers for this issue. Computational intelligence is the study of the design of "intelligent" systems, which is flexible in changing environments and changing goals with uncertainty, and covers artificial intelligence, neural networks, fuzzy systems, evolutionary computation, and hybrid systems. The objective of this special issue is to reveal current challenges, research topics, and technology solutions critical to algorithms and applications involving computational intelligence. These 14 papers cover such important research areas as neural networks, image processing, control, financial engineering, robotics, and related technologies in computational intelligence. We believe that the information in this issue will become a valuable new resource for the computational intelligence community. We thank the authors and referees whose selfless work and valuable comments have made this special issue possible and improved the overall quality of the papers.

Special Issue on Advanced Intelligent Systems: Part II

2013 ◽  
Vol 17 (2) ◽  
pp. 311-311
Author(s):  
Myung-Geun Chun ◽  
Toshihiko Watanabe
Keyword(s):  
Management System ◽  
Intelligent Systems ◽  
Eating Habits ◽  
Industrial Applications ◽  
Nutritional Management ◽  
Editorial Office ◽  
Generation Model ◽  
Special Issue ◽  
Healthy Eating Habits ◽  
Complex Features

Following the Special Issue on Advanced Intelligent Systems Vol.16 No.7, Part II presents 5 progressive papers on advanced intelligent systems. They include 10 selected revised papers from the 12th International Symposium on Advanced Intelligent Systems (ISIS 2011) held at La Vie DfOr Resort, Suwon, Korea, from September 28 to October 1, 2011. A brief review of Part IIfs 5 papers follows. A brief review of Part IIfs 5 papers follows. The first paper proposes a new visualization technique involving non-Euclidean relational data using robust linear fuzzy clustering based on an FCMdd framework. Experimental results show that the proposed model achieves multiclass MDS and is useful for revealing complex features. The second paper proposes the detection of lower-extremity arterial regions imaged by non-enhanced MR based on particle filter algorithms. Results applied to fresh blood imaging (FBI) show that the technique is promising. The third paper presents the development of nutritional management system supporting healthy eating habits. The paper reveals new concepts in nutritional management and confirms the effectiveness of the proposed management system through numerical experiments. The fourth paper proposes an emotion generation model with growth functions for robots based on a genetic psychology concept. The technique is promising for realizing evolving emotions in robots. The fifth paper presents the fuzzy control in approaching target objects and object grabbing by a fourwheeled vision-based mobile robot. The paper presents significant developments in mobile robots from the viewpoint of industrial applications. We thank the authors and reviewers for their great efforts in making this publication possible. We are also grateful to the JACIII editorial office for its invaluable assistance and advice in putting this issue together.

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