Medical image acquisition is often intervented by unwanted noise that corrupts the information co... more Medical image acquisition is often intervented by unwanted noise that corrupts the information content. This paper introduces an unsupervised medical image denoising technique that learns noise characteristics from the available images and constructs denoised images. It comprises of two blocks of data processing, viz., patch-based dictionaries that indirectly learn the noise and residual learning (RL) that directly learns the noise. The model is generalized to account for both 2D and 3D images considering different medical imaging instruments. The images are considered one-by-one from the stack of MRI/CT images as well as the entire stack is considered, and decomposed into overlapping image/volume patches. These patches are given to the patch-based dictionary learning to learn noise characteristics via sparse representation while given to the RL part to directly learn the noise properties. K-singular value decomposition (K-SVD) algorithm for sparse representation is used for trainin...
This is the first work which has investigated the gamma-gamma turbulence model while considering ... more This is the first work which has investigated the gamma-gamma turbulence model while considering several types of numerical integration approaches. Basing on stability and skewness opinions, this investigation declares the suitability of Matsuno and Quasi-Adams-Bashforth 2 methods for developing true gamma-gamma turbulence model. This is followed by highlighting the need of LDPC coding to meet the challenges in outdoor optical wireless communication system. The performance of proposed linearly punctured Re-jagged AR4JA LDPC code has been investigated further to declare its suitability to be applied in outdoor optical wireless communication system.
2015 Eighth International Conference on Mobile Computing and Ubiquitous Networking (ICMU), 2015
The robustness to uncertainty of noise power is one of main challenges to spectrum sensing techni... more The robustness to uncertainty of noise power is one of main challenges to spectrum sensing technique. Since the occurrence of noise power uncertainty causes the detection performance of spectrum sensing techniques significantly degrade. In this paper, we propose two novel schemes of two-stage spectrum sensing for cognitive radio under environment as noise power uncertainty. The two-stage spectrum sensing technique combines two conventional spectrum sensing techniques to perform spectrum sensing by exploiting their individual advantages. The proposed two-stage spectrum sensing scheme exploits the merits of ED, MME and CAV techniques to determine the existence of the primary user. The ED performs spectrum sensing within a short time and offers a reliable detection at high SNRs condition. MME and CAV are robust to noise power uncertainty. Due to the combination of these techniques, the proposed schemes offer much more reliable detection when the uncertainty of noise power occurs. Even though the proposed technique takes the longest time in sensing period among two-stage spectrum sensing techniques, it is worth using this period of time to protect the primary user from harmful interference caused by the secondary user.
A microscopic nucleon–nucleon (NN) interaction is derived from the popular relativistic-mean-fiel... more A microscopic nucleon–nucleon (NN) interaction is derived from the popular relativistic-mean-field (RMF) theory Lagrangian and used to obtain the optical potential by folding it with the RMF densities of cluster and daughter nuclei. The NN-interaction is remarkably related to the inbuilt fundamental parameters of RMF theory, and the results of the application of the so obtained optical potential, made to exotic cluster radioactive decays and α+α scattering, are found comparable to that for the well-known, phenomenological M3Y effective NN-interaction. The RMF-based NN-interaction can also be used to calculate a number of other nuclear observables.
Due to extremely high demand of mobile phones among people, over the years there has been a great... more Due to extremely high demand of mobile phones among people, over the years there has been a great demand for the support of various applications and security services. 2G and 3G provide two levels of security through: encryption and authentication. This paper presents performance analysis and comparison between the algorithms in terms of time complexity. The parameters considered for comparison are processing power and input size. Security features may have adverse effect on quality of services offered to the end users and the system capacity. The computational cost overhead that the security protocols and algorithms impose on lightweight end users devices is analyzed. The results of analysis reveal the effect of authentication and encryption algorithms of 2G and 3G on system performance defined in terms of throughput which will further help in quantifying the overhead caused due to security.
... So, electrostatic potential difference between the nanotube cap and outside is . ... The curr... more ... So, electrostatic potential difference between the nanotube cap and outside is . ... The current density due to emission depends on many factors such as work function, electronic structure of the nanotube cap, nanotube length, diameter, and density. ...
Short term load forecasting is very essential to the operation of electricity companies. It enhan... more Short term load forecasting is very essential to the operation of electricity companies. It enhances the energy-efficient and reliable operation of power system. Artificial Neural Networks are employed for non-linear short term load forecasting owing to their powerful nonlinear mapping capabilities. These are generally trained through back-propagation, genetic algorithm (GA), particle swarm optimization (PSO) and artificial immune system (AIS). All these algorithms have specific benefits in terms of accuracy, speed of convergence and historical data requirement for training. In this paper a hybrid AIS is proposed, which is a combination of back-propagation with AIS to get faster convergence, lesser historical data requirement for training with a little compromise in accuracy.
The current demand of advance communication field is high data rate in addition to both power eff... more The current demand of advance communication field is high data rate in addition to both power efficiency and lower bit error rate. This can be fulfilled by the single carrier modulation while compromising the trade-off between the power efficiency and bit error rate. But, in the frequency selective fading environment, to achieve high data rate is very difficult for single carrier modulation scheme. Considering an advance step towards the multicarrier modulation scheme, it is possible to get high data rate in the multipath fading channel without degrading the bit error rate performance. To achieve better performance using multicarrier modulation the subcarriers must be orthogonal to each other. This is what we get in Orthogonal Frequency Division Multiplexing (OFDM) technique. But the great disadvantage of the OFDM technique is its high Peak to Average Power Ratio (PAPR). This book presents the Selected Mapping Technique (SLM), its modified versions and a new SLM technique for reduci...
Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT), 2015
Wireless Broadband services heavily rely on Orthogonal Frequency Division Multiplexing (OFDM) tec... more Wireless Broadband services heavily rely on Orthogonal Frequency Division Multiplexing (OFDM) technique. OFDM has several advantages which makes it suitable for high speed data communications. One of the major drawback of OFDM is its high peak-to-average power ratio (PAPR). There are several methods to overcome this drawback. Partial Transmit Sequence (PTS) is one of them. In this paper, a modified version of the iterative flipping algorithm has been proposed i.e. modified flipping PTS (M-PTS), which reduces the performance gap between the iterative flipping algorithm (I-PTS) and the conventional PTS technique. In the proposed algorithm, performance analysis has been done with considering performance/ complexity trade-off.
Medical image acquisition is often intervented by unwanted noise that corrupts the information co... more Medical image acquisition is often intervented by unwanted noise that corrupts the information content. This paper introduces an unsupervised medical image denoising technique that learns noise characteristics from the available images and constructs denoised images. It comprises of two blocks of data processing, viz., patch-based dictionaries that indirectly learn the noise and residual learning (RL) that directly learns the noise. The model is generalized to account for both 2D and 3D images considering different medical imaging instruments. The images are considered one-by-one from the stack of MRI/CT images as well as the entire stack is considered, and decomposed into overlapping image/volume patches. These patches are given to the patch-based dictionary learning to learn noise characteristics via sparse representation while given to the RL part to directly learn the noise properties. K-singular value decomposition (K-SVD) algorithm for sparse representation is used for trainin...
This is the first work which has investigated the gamma-gamma turbulence model while considering ... more This is the first work which has investigated the gamma-gamma turbulence model while considering several types of numerical integration approaches. Basing on stability and skewness opinions, this investigation declares the suitability of Matsuno and Quasi-Adams-Bashforth 2 methods for developing true gamma-gamma turbulence model. This is followed by highlighting the need of LDPC coding to meet the challenges in outdoor optical wireless communication system. The performance of proposed linearly punctured Re-jagged AR4JA LDPC code has been investigated further to declare its suitability to be applied in outdoor optical wireless communication system.
2015 Eighth International Conference on Mobile Computing and Ubiquitous Networking (ICMU), 2015
The robustness to uncertainty of noise power is one of main challenges to spectrum sensing techni... more The robustness to uncertainty of noise power is one of main challenges to spectrum sensing technique. Since the occurrence of noise power uncertainty causes the detection performance of spectrum sensing techniques significantly degrade. In this paper, we propose two novel schemes of two-stage spectrum sensing for cognitive radio under environment as noise power uncertainty. The two-stage spectrum sensing technique combines two conventional spectrum sensing techniques to perform spectrum sensing by exploiting their individual advantages. The proposed two-stage spectrum sensing scheme exploits the merits of ED, MME and CAV techniques to determine the existence of the primary user. The ED performs spectrum sensing within a short time and offers a reliable detection at high SNRs condition. MME and CAV are robust to noise power uncertainty. Due to the combination of these techniques, the proposed schemes offer much more reliable detection when the uncertainty of noise power occurs. Even though the proposed technique takes the longest time in sensing period among two-stage spectrum sensing techniques, it is worth using this period of time to protect the primary user from harmful interference caused by the secondary user.
A microscopic nucleon–nucleon (NN) interaction is derived from the popular relativistic-mean-fiel... more A microscopic nucleon–nucleon (NN) interaction is derived from the popular relativistic-mean-field (RMF) theory Lagrangian and used to obtain the optical potential by folding it with the RMF densities of cluster and daughter nuclei. The NN-interaction is remarkably related to the inbuilt fundamental parameters of RMF theory, and the results of the application of the so obtained optical potential, made to exotic cluster radioactive decays and α+α scattering, are found comparable to that for the well-known, phenomenological M3Y effective NN-interaction. The RMF-based NN-interaction can also be used to calculate a number of other nuclear observables.
Due to extremely high demand of mobile phones among people, over the years there has been a great... more Due to extremely high demand of mobile phones among people, over the years there has been a great demand for the support of various applications and security services. 2G and 3G provide two levels of security through: encryption and authentication. This paper presents performance analysis and comparison between the algorithms in terms of time complexity. The parameters considered for comparison are processing power and input size. Security features may have adverse effect on quality of services offered to the end users and the system capacity. The computational cost overhead that the security protocols and algorithms impose on lightweight end users devices is analyzed. The results of analysis reveal the effect of authentication and encryption algorithms of 2G and 3G on system performance defined in terms of throughput which will further help in quantifying the overhead caused due to security.
... So, electrostatic potential difference between the nanotube cap and outside is . ... The curr... more ... So, electrostatic potential difference between the nanotube cap and outside is . ... The current density due to emission depends on many factors such as work function, electronic structure of the nanotube cap, nanotube length, diameter, and density. ...
Short term load forecasting is very essential to the operation of electricity companies. It enhan... more Short term load forecasting is very essential to the operation of electricity companies. It enhances the energy-efficient and reliable operation of power system. Artificial Neural Networks are employed for non-linear short term load forecasting owing to their powerful nonlinear mapping capabilities. These are generally trained through back-propagation, genetic algorithm (GA), particle swarm optimization (PSO) and artificial immune system (AIS). All these algorithms have specific benefits in terms of accuracy, speed of convergence and historical data requirement for training. In this paper a hybrid AIS is proposed, which is a combination of back-propagation with AIS to get faster convergence, lesser historical data requirement for training with a little compromise in accuracy.
The current demand of advance communication field is high data rate in addition to both power eff... more The current demand of advance communication field is high data rate in addition to both power efficiency and lower bit error rate. This can be fulfilled by the single carrier modulation while compromising the trade-off between the power efficiency and bit error rate. But, in the frequency selective fading environment, to achieve high data rate is very difficult for single carrier modulation scheme. Considering an advance step towards the multicarrier modulation scheme, it is possible to get high data rate in the multipath fading channel without degrading the bit error rate performance. To achieve better performance using multicarrier modulation the subcarriers must be orthogonal to each other. This is what we get in Orthogonal Frequency Division Multiplexing (OFDM) technique. But the great disadvantage of the OFDM technique is its high Peak to Average Power Ratio (PAPR). This book presents the Selected Mapping Technique (SLM), its modified versions and a new SLM technique for reduci...
Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT), 2015
Wireless Broadband services heavily rely on Orthogonal Frequency Division Multiplexing (OFDM) tec... more Wireless Broadband services heavily rely on Orthogonal Frequency Division Multiplexing (OFDM) technique. OFDM has several advantages which makes it suitable for high speed data communications. One of the major drawback of OFDM is its high peak-to-average power ratio (PAPR). There are several methods to overcome this drawback. Partial Transmit Sequence (PTS) is one of them. In this paper, a modified version of the iterative flipping algorithm has been proposed i.e. modified flipping PTS (M-PTS), which reduces the performance gap between the iterative flipping algorithm (I-PTS) and the conventional PTS technique. In the proposed algorithm, performance analysis has been done with considering performance/ complexity trade-off.
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