Test Whats new message.
Scheduled Maintenance on Monday 1/13/2025
Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.
Showing 1-25 of 135 results
- Sort
Filter Results
Show
Sort By
Results
Deep Learning and Internet of Things (IoT) based Industrial Automation and Human Error Reduction
B. Srinivasa Rao;Madan Mohan Gupta;S Sheikameer Batcha;Sonia Katherin Mathew;M Sethu Ram;Zhanerke Imanbayeva
2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA)
Year: 2022 | Conference Paper |
A wide range of IoT applications for the industry has been developed, in recent years has been expanded. To understand the development of the internet of things in the industry. Internet of things (IoT) is to build a strong industrial automation system, in addition to the radio frequency identification, wireless, mobile, offers a promising opportunity to utilize the growing popularity of the senso...Show More
Reduction of Human Error through Deep Learning Model using Internet of Things
B. Srinivasa Rao;Madan Mohan Gupta;Batcha S Sheikameer;Sonia Katherin Mathew;M Sethu Ram;Zhanerke Imanbayeva
2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
Year: 2022 | Conference Paper |
A wide range of IoT applications for the industry has been developed, in recent years has been expanded. To understand the development of the internet of things in the industry. Internet of things (IoT) is to build a strong industrial automation system, in addition to the radio frequency identification, wireless, mobile, offers a promising opportunity to utilize the growing popularity of the senso...Show More
A New Approach to Polyp Detection by Pre-Processing of Images and Enhanced Faster R-CNN
Zhiqin Qian;Yi Lv;Dongyuan Lv;Huijun Gu;Kunyu Wang;Wenjun Zhang;Madan M. Gupta
Colon cancer is the third most common cancer in the world, and it is increasingly threatening people’s health. Early diagnosis is crucial to reducing the threat; however, the chance of missed polyps in today’s colonoscopy examination is still high (about 10%) due to limitations in diagnosis techniques and data analysis methods. The colonoscope is a kind of robot and on its tip there is a camera to...Show More
A Novel Charge Control Circuit for Piezoelectric Actuators Driven by High Voltage
Tingting Yu;Yishuai Xu;Yifan Liu;Puren Ouyang;M.M. Gupta;W.J. Zhang;W.J. Zhang
2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA)
Year: 2019 | Conference Paper |
This paper reports a work on developing a novel charge control circuit for control of the piezoelectric actuator to overcome its hysteresis nonlinearity when the actuator is driven at high voltage (as opposed to low voltage reported in literature). The charge control circuit also includes a balancing resistor. A test-bed for a piezoelectric actuator was established and an experiment was conducted....Show More
Deep learning has become a buzz word recently. However, there is a lack of unified definition to deep learning in literature. The goal of this paper is to overview various definitions to deep learning and to show their limitations. Finally, a unified or more general definition to deep learning is given. The paper also outlines a general methodology for learning as well as deep learning.Show More
On Definition of Deep Learning
W.J. Zhang;Guosheng Yang;Yingzi Lin;Chunli Ji;Madan M. Gupta
Year: 2018 | Conference Paper |
Space-Invariant Signature Algorithm: A space-variance approach for the detection and localization of early abnormalities in liquid vibrating active systems
Kushagra Parolia;Madan M Gupta;Paul Babyn;Wenjun Zhang;Doug Bitner;Ravi K. Jatoth
2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
Year: 2017 | Conference Paper |
In this paper we present an innovative space-variance approach named as “Space-Invariant Signature Algorithm (SISA)” for processing images from active systems, such as the liquid vibrating active system, cancer cells, tumor growth, and dead cells, for the detection and localization of abnormalities at an incipient stage. In this paper, a SISA processing algorithm is developed, and this algorithm i...Show More
Space-invariant signature algorithm processing of ultrasound images for the detection and localization of early abnormalities in animal tissues
Kushagra Parolia;Madan M Gupta;Paul Babyn;Wenjun Zhang;Doug Bitner
2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
Year: 2017 | Conference Paper |
In this paper we present an innovative space-variance approach named as “Space-Invariant Signature Algorithm (SISA)” for processing images from active systems, such as cancer cells, tumor growth, and dead cells, for the detection and localization of abnormalities at an early stage. In this paper, a SISA processing algorithm is developed, and this algorithm is tested on animal tissues such as pigs ...Show More
Model reference multiple-degree-of-freedom adaptive control with HONUs
Ivo Bukovsky;Peter Benes;Martin Vesely;Jan Pitel;Madan M. Gupta
2016 International Joint Conference on Neural Networks (IJCNN)
Year: 2016 | Conference Paper |
This paper presents a modification of reference-model adaptive control with a layered network of higher-order neural units (HONUs) as adaptive state-feedback controllers. The degree of freedom of such neural controller is deemed here as the number of applied HONUs of a customizable polynomial order and as of their individually customizable input vectors. Furthermore, the control scheme is enhanced...Show More
Design of a general resilient robotic system based on axiomatic design theory
2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)
Year: 2015 | Conference Paper |
Cited by: Papers (7)
Resilient robotic systems are a kind of robotic system that is able to recover their original function after partial damage of the system. This is achieved by making changes on the partially damaged robot. The general resilient robot, which makes sense by including active joints, passive joints, passive links, and passive adjustable links, was proposed in order to explore its resilience. The axiom...Show More
Configuration synthesis of underactuated resilient robotic systems
Tan Zhang;Changli Liu;Zhiqin Qian;Dan Zhang;Madan M. Gupta;Wenjun Zhang
2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics
Year: 2014 | Conference Paper |
Cited by: Papers (2)
A resilient robotic system is capable of recovering the original function after some parts failed. This paper develops a general architecture of resilient robot in terms of physical components and their relationships. This architecture includes active joints and passive joints and adjustable links. The inclusion of passive joints and adjustable link can offer benefit not only on cost, but also on ...Show More
Stability analysis of nonlinear systems using dynamic-Routh's stability criterion: A new approach
2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
Year: 2013 | Conference Paper |
Cited by: Papers (6)
In this paper, we proposed a new method to analyze the condition and region of stability of nonlinear time-varying systems by introducing the notions of dynamic poles and dynamic-Routh's stability method. The stability analysis is carried out in a special type of complex plane called g(t)-plane which is similar to the traditional s-plane where both real and imaginary axis have time dependent param...Show More
Fuzzy separation potential function based flocking control of multiple AUVs
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS)
Year: 2013 | Conference Paper |
Cited by: Papers (5)
In this paper, we present a flocking control algorithm for a group of autonomous underwater vehicles (AUVs) using the leader-follower concept. Leader vehicle have global knowledge of desired trajectory and other AUVs are chosen as followers which are mounted with sensors to estimate the positions of neighbor AUVs. The follower vehicles have no knowledge of desired path. There is a flocking center ...Show More
Size-Controllable Monodispersed Microsphere Generation by Liquid Chopper Utilizing PZT Actuator
This paper describes a novel microfluidic method to prepare monodispersed water-in-oil (W/O) microspheres utilizing a piezoelectric actuator. In the main channel, a dispersed phase stream becomes focused and stabilized. In the side channels, oscillating streams are generated by the piezoelectric actuator and flow to the main channel to pinch off the focused stream to form a liquid chopper. By chan...Show More
Qualitative group decision making process by applying an innovative fuzzy-neural approach
Ki-Young Song;Janusz Kozinski;Gerald T. G. Seniuk;Madan M. Gupta
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS)
Year: 2012 | Conference Paper |
Many qualitative decisions that appear crisp and certain are grounded in fuzziness as a result of the uncertain environment within which the decisions are made. We propose an innovative approach for decision making in such uncertain conditions by using a fuzzy-neural method. The key idea of this proposed approach is to adapt the synaptic neural weight by applying a variance weighting process (VWP)...Show More
Neural networks approach to biocomposites processing
Proceedings of 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing
Year: 2011 | Conference Paper |
Biological neural networks mathematical counterpart artificial neural networks (or neural networks: NN) have contributed to the evolution of a distinct parallel information processing methodology for computational sciences. Problems such as biocomposites modeling or prediction are complicated to model with traditional statistical and mathematical tools due to the inherent noise in data. NN's effic...Show More
Some new notions in the stability investigations and design of controllers for nonlinear systems
2010 International Conference on Industrial Electronics, Control and Robotics
Year: 2010 | Conference Paper |
Design of an adaptive controller for complex dynamic systems is a big challenge faced by the researchers. In this paper, we introduce a novel concept of dynamic pole motion (DPM) for the design of an error-based adaptive controller (E-BAC). The purpose of this novel design approach is to make the system response reasonably fast with no overshoot, where the system may be timevarying and nonlinear w...Show More
Design of an error-based robust adaptive controller
2009 IEEE International Conference on Systems, Man and Cybernetics
Year: 2009 | Conference Paper |
Cited by: Papers (4)
Design of an adaptive controller for complex dynamic systems is a big challenge faced by the researchers. In this paper, we propose a novel method for the design of an error- based robust adaptive controller to make the system response reasonably fast with no overshoot. Here the control action is designed by introducing the notion of `error-based adaptive controller' (EB-AC). In the design of this...Show More
Solving convex optimization problems using recurrent neural networks in finite time
Long Cheng;Zeng-Guang Hou;Noriyasu Homma;Min Tan;Madam M. Gupta
2009 International Joint Conference on Neural Networks
Year: 2009 | Conference Paper |
A recurrent neural network is proposed to deal with the convex optimization problem. By employing a specific nonlinear unit, the proposed neural network is proved to be convergent to the optimal solution in finite time, which increases the computation efficiency dramatically. Compared with most of existing stability conditions, i.e., asymptotical stability and exponential stability, the obtained f...Show More
Uniform Microsphere Formation by Liquid Choppers Utilizing PZT Actuator: Theoretical and Simulation Study
2009 3rd International Conference on Bioinformatics and Biomedical Engineering
Year: 2009 | Conference Paper |
An innovative uniform microsphere formation based on MEMS was developed by numerical simulation as a preliminary study. This simulation study proposes a new technology to cut off a hydrodynamically focused liquid filament into micro-sized spheres applying a novel combination of hydrodynamic flow focusing and an oscillating external flux. A dispersed phase flow is surrounded by an annular continuou...Show More
Design of a robust neuro-controller for complex dynamic systems
Ki-Young Song;Madan M. Gupta;Debashisha Jena;Bidyadhar Subudhi
NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society
Year: 2009 | Conference Paper |
Cited by: Papers (4)
Design of neuro-controller for complex dynamic systems is a big challenge faced by the researchers. In this paper we present a design of a robust neuro-controller for a dynamic system to make the system response fast with no overshoot. Here the control action decided by the controller completely depends on the value of the error at that point of time. The position feedback which controls the bandw...Show More
Memetic Differential Evolution Trained Neural Networks For Nonlinear System Identification
2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems
Year: 2008 | Conference Paper |
Cited by: Papers (11)
Several gradient-based approaches such as back-propagation, conjugate gradient and Levenberg Marquardt (LM) methods have been developed for training the neural network (NN) based systems. Still, in some situations, like multimodal cost function, these procedures may lead to some local minima, therefore, the evolutionary algorithms (EAs) based procedures were considered as a promising alternative. ...Show More
Computational Structure of Correlative Type Higher Order Neural Units with Applications
2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems
Year: 2008 | Conference Paper |
The computational neural-network structures described in the literature are often based on the concept of linear synaptic operations. In biological processes, however, neurons form a set of very complex computing elements and perform much more complex computations than just the linear aggregation. It is well known that the computational efficiency of neural networks depends on its morphology and t...Show More
Correlative type higher-order neural units with applications
2008 IEEE International Conference on Automation and Logistics
Year: 2008 | Conference Paper |
Cited by: Papers (7)
The computational neural-network structures described in the literature are often based on the concept of linear synaptic operations. In biological process, however, neurons form a set of very complex computing elements and perform much more complex computations than just the linear aggregation. It is well known that the computational efficiency of neural networks depends on its morphology and the...Show More
Shape features extraction from pulmonary nodules in X-ray CT images
Noriyasu Homma;Kazuhisa Saito;Tadashi Ishibashi;Madan M. Gupta;Zeng-Guang Hou;Ashu M. G. Solo
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)
Year: 2008 | Conference Paper |
Cited by: Papers (2)
In this paper, we propose a new computer aided diagnosis method of pulmonary nodules in X-ray CT images to reduce false positive (FP) rate under high true positive (TP) rate conditions. An essential core of the method is to extract and combine two novel and effective features from the raw CT images: One is orientation features of nodules in a region of interest (ROI) extracted by a Gabor filter, w...Show More
Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units
6th IEEE International Conference on Cognitive Informatics
Year: 2007 | Conference Paper |
Cited by: Papers (10)
The paper introduces basic types of nonconventional artificial neural units and focuses their notation and classification: namely; the notation and classification of dynamic higher-order nonlinear neural units, time-delay dynamic neural units, and time-delay higher-order nonlinear neural units is introduced. Brief introduction into the simplified parallel of higher-order nonlinear aggregating func...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.