Showing 1-25 of 15,971 resultsfor "Index Terms":Forward Backward
"Index Terms":Forward Backward
- Sort
Get notified when new research is published matching your search criteria.
Sort By
Results
A portable inertial sensing-based spinal motion measurement system for low back pain assessment
Jung Keun Lee;Geoffrey T. Desmoulin;Aslam H. Khan;Edward J. Park
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2011 | Conference Paper |
Cited by: Papers (5)
Spinal motion measurement during dynamic conditions may help identify differences between individuals with and without low back pain (LBP). The purpose of this paper is to demonstrate the feasibility of an inertial sensing based, portable spinal motion measurement system for investigating the differences of the spinal motions between an LBP group and a healthy control group. During a fast flexion/...Show More
Estimation of aerodynamic parameters using Cascade Forward Back Propagation
2017 2nd International Conference on Telecommunication and Networks (TEL-NET)
Year: 2017 | Conference Paper |
Cited by: Papers (8)
In this paper, Cascade Forward Back Propagation (CFBP) algorithm based on artificial neural network is proposed for the estimation of longitudinal aerodynamic parameters of the aircraft. The proposed algorithm (CFBP) draws its inspiration from feed forward back propagation algorithm for estimating aerodynamic derivatives of longitudinal short period dynamics. The validation of CFBP algorithm is do...Show More
The co-contraction features of the lumbar muscle in patients with and without low back pain during multi-movements
Wenjing Du;Huihui Li;Omisore Olatunji Mumini;Wenmin Chen;Lei Wang
2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
Despite the important role played by muscle co-contraction in stabilizing and stiffening the spine during daily activities, the effects of multi-movement models on the lumbar co-contraction are yet to be explored. This study explores the co-contraction features of lumbar muscle in subjects with and without low back pain while they perform four different movements namely forward, backward, left fle...Show More
Gray Scale Medical Image Compression using LM Algorithm
G. Sasibhushana Rao;M. Laxmi Prasanna Rani;B. Prabhakara Rao
2019 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)
Year: 2019 | Conference Paper |
Medical images of MRI, CT and X-ray are the digital form of biological features of human organs. The bulk data of medical images generated by medical imaging processes requires different image compression techniques to reduce the storage space with considerable image quality. This paper presents the compression technique of Feed Forward Back Propagation Neural Network (FFBPNN) for compression and ...Show More
Postural stabilization by trunk tightening force generated by passive power-assist device
Yumeko Imamura;Takayuki Tanaka;Hiroyuki Nara;Yoshihito Suzuki;Kazuki Takizawa;Masanori Yamanaka
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2013 | Conference Paper |
Cited by: Papers (3)
We are developing a passive power-assist supporter called Smart Suit Lite, which is a compact and lightweight power-assist device that utilizes the restoring force of elastic belts. Smart Suit Lite is designed not only to support muscles but also to stabilize the torso similarly to a corset. However, because a corset is always tight around the waist, negative effects caused by long-term use has be...Show More
The Relationship between Forward Slicing and Backward Slicing for Software Architecture
Software architecture slicing extracts the right software architecture to provide reference or design guiding for developing software architecture. It will reduce the complexity of the requirement specifications based on a selected slicing criterion of either the component or the connector, but little effort has been made regarding the relationship between forward slicing and backward slicing anal...Show More
Two-Stage Orthogonal Least Squares Methods for Neural Network Construction
A number of neural networks can be formulated as the linear-in-the-parameters models. Training such networks can be transformed to a model selection problem where a compact model is selected from all the candidates using subset selection algorithms. Forward selection methods are popular fast subset selection approaches. However, they may only produce suboptimal models and can be trapped into a loc...Show More
Comparison of Improved Forward Backward Method and Symmetric Successive over Relaxation for computing the scattering from randomly rough lossy surfaces
IET International Conference on Information and Communications Technologies (IETICT 2013)
Year: 2013 | Conference Paper |
The Improved Forward Backward Method and Symmetric Successive over Relaxation (SSOR) method are proposed to compute electromagnetic (EM) scattering from 1-D dielectric rough surfaces. In addition the Spectral Acceleration (SA) technique is applied to reduce the computational complexity of each matrix-vector product from O(N2) to O(N). The proposed methods are referred as IFBM-SA and SSOR-SA. They ...Show More
A back biasing voltage generator for 28nm UTBB-FDSOI RVT CMOS digital circuits
Marcos Mauricio Pelicia;Ricardo Pureza Coimbra;Pedro Barbosa Zanetta
2018 International Conference on IC Design & Technology (ICICDT)
Year: 2018 | Conference Paper |
This paper presents a Back-Biasing regulation module developed for the next-generation of 28nm UTBB FDSOI (Ultra-Thin Box and Body Fully Depleted Silicon On Insulator) IOT microcontroller products. The module enables both Reverse Back Biasing (RBB) and Forward Back Biasing (FBB) of a standard digital logic region with programmable voltage levels. Main design requirements and regulator load charact...Show More
An Improved Power Flow Algorithm for Distribution Networks Based on Zbus Algorithm and Forward/Backward Sweep Method
2012 International Conference on Control Engineering and Communication Technology
Year: 2012 | Conference Paper |
Cited by: Papers (2)
This paper presents a new method: Zbus algorithm combined with the forward and backward algorithm to deal with power flow calculation of the distribution network with ringnet. The topological structure of the network can be analyzed by decomposing the branch network into radial parts and ringnet parts through the forward path which is the concept of the signal flow graph, using forward and backwar...Show More
High-Throughput Trellis Processor for Multistandard FEC Decoding
Trellis codes, including Low-Density Parity-Check (LDPC), turbo, and convolutional code (CC), are widely adopted in advanced wireless standards to offer high-throughput forward error correction (FEC). Designing a multistandard FEC decoder is of great challenge. In this paper, a trellis application specified instruction-set processor (TASIP) is presented for multistandard trellis decoding. A unifie...Show More
Fuzzy rule based expert system to diagnose spinal cord disorders
M. H. Fazel Zarandi;S. Rahimi Damirchi-Darasi;M. Izadi;I. B. Turksen;M. Arabzadeh Ghahazi
2014 IEEE Conference on Norbert Wiener in the 21st Century (21CW)
Year: 2014 | Conference Paper |
On time diagnosis of spinal cord problems is essential because of patient pain and cost of treatment. To alleviate this hazard, in this research a fuzzy rule-based expert system is proposed to diagnosis spinal cord problems and clarify whether a MRI scan is necessary or not. The knowledge representation of this system is provided from high level, based on lifestyle of the patient and historical da...Show More
A type of general FBSDEs and anticipated backward linear quadratic stochastic optimal control problems
2012 24th Chinese Control and Decision Conference (CCDC)
Year: 2012 | Conference Paper |
We prove the existence and the uniqueness of the solutions of a new type of general forward-backward stochastic differential equations (FBSDEs), where the forward equations are Itô stochastic delayed ones and the backward equations are anticipated back stochastic differential equations, under some certain “monotonicity” conditions. By using the solutions of the FBSDEs we discuss the anticipated ba...Show More
Stock Price Forecasting using Back Propagation Neural Networks with Time and Profit Based Adjusted Weight Factors
2006 SICE-ICASE International Joint Conference
Year: 2006 | Conference Paper |
In this paper, we showed a method to forecast the stock price using neural networks. Predicting the stock market is very difficult since it depends on several known and unknown factors. In recent years, one of the techniques that have been used popularly in this area is artificial neural network. The power of neural network is its ability to model a nonlinear process without a priori knowledge abo...Show More
A Forward–Backward Algorithm for Nested Hidden semi-Markov Model and Application to Network Traffic
Doubly hidden Markov models (DHMMs) have been widely used to analyze a type of time process whose driving factors are hierarchical and hierarchically correlated. A common issue of these models is that they implicitly assume that the dwell time of any system state is constant or exponentially distributed. This property comes from the standard hidden Markov models and causes the DHMM to limitations ...Show More
Spotlight bistatic forward-looking synthetic aperture radar (BFSAR) is a valid tool in the precise surveillance and attacking mission. Because the low frequency ultrawideband (UWB) spotlight BFSAR has the complicated range-azimuth coupling, diverse imaging geometry, and long synthetic aperture, etc., the application of frequency-domain algorithms is limited. In this paper, an extended fast factori...Show More
Improved Greedy Algorithms for Learning Graphical Models
We propose new greedy algorithms for learning the structure of a graphical model of a probability distribution, given samples drawn from the distribution. While structure learning of graphical models is a widely studied problem with several existing methods, greedy approaches remain attractive due to their low computational cost. The most natural greedy algorithm would be one which, essentially, a...Show More
Comparison of response spectra in forward and backward directions in the Wenchuan earthquake
2011 Second International Conference on Mechanic Automation and Control Engineering
Year: 2011 | Conference Paper |
We compare the response spectra between forward and backward direction, and the contour maps of response spectra at certain natural periods. Results indicate: (1) the response spectra in the forward direction is higher than that of the backward direction. For natural period smaller that 2 second, the average response spectra in forward direction is about two times that of the backward direction; f...Show More
Discretization of forward–backward stochastic differential equations and related quasi-linear parabolic equations
Efficient numerical algorithms for a class of forward–backward stochastic differential equations (FBSDEs) and related quasi-linear parabolic partial differential equations are proposed. The quasi-linear parabolic equation is solved by new layer methods which are constructed by means of a probabilistic approach. The proposed algorithms for solving FBSDEs are based on the four-step scheme of Ma, Pro...Show More
Attribute reduction using backward elimination algorithm
2010 IEEE International Conference on Computational Intelligence and Computing Research
Year: 2010 | Conference Paper |
Cited by: Papers (3)
Attribute reduction of an information system is a key problem in rough set theory and its applications. This paper proposes a new feature selection mechanism based on backward elimination algorithm to solve the attribute reduction problem in roughest theory. It is the most promising technique in the Rough set theory, a new mathematical approach to reduct car and cancer dataset using backward elimi...Show More
Single Neuron ANN Based Current Controlled Permanent Magnet Brushless DC motor Drives
2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)
Year: 2018 | Conference Paper |
Cited by: Papers (3)
Permanent Magnet Brushless DC (PMBLDC) motor has a huge scope of industrial application in modern automated industries. In this paper, an artificial neural network (ANN) based PMBLDC motor drives are proposed and the computational complexities of the neural network is avoided by using single neuron based neural network. Two types of neural network with different activation functions are considered...Show More
m-BRe: New Variants for the Backward Replacement Approach to Enhance the Compression Capabilities of the Forward Greedy Pursuit
This paper introduces two variants of the backward replacement approach, T-BRe and H-BRe, aimed at enhancing the compression capabilities of forward greedy pursuit algorithms. The effectiveness of these methods is evaluated using three greedy pursuit algorithms (OMP, OOMP, and FBP) through simulations conducted on image and speech datasets with a mathematically generated dictionary. Additionally, ...Show More
A structured AMP method recovering signals with a forward-backward splitting mode
TENCON 2015 - 2015 IEEE Region 10 Conference
Year: 2015 | Conference Paper |
D-AMP (Denoising-based Approximate Message Passing) method usually offers an efficient recovery in image Compressive Sensing (CS). To apply D-AMP in structured signals, we focus on a forward-backward splitting mode [5] and have to deal with signal bias in the backward shrinkage step. For deviation calibrating and better adaptation to structure clustering, we modify the BM3D (Block-matching and 3D ...Show More
Modified cross-correlation back projection for UWB imaging: numerical examples
2005 IEEE International Conference on Ultra-Wideband
Year: 2005 | Conference Paper |
Cited by: Papers (23)
The article presents a modification of cross-correlated back projection algorithm for UWB imaging. The modified algorithm has improved performance in a sense of better quality of reconstructed 2D or 3D images of the propagation environment. The performance of the new imaging algorithm is demonstrated on numerical examples.Show More
Poor trunk posture during daily activity is known to increase the risk of low back pain and decrease quality of life. Monitoring trunk posture is a promising, proactive way to help prevent low back pain. A flexible, wearable, posture-monitoring sensor has been developed and tested in this letter. The device, referred to as “spine tape,” consists of flexible carbon nanotube composite strain sensing...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.