computationally intensive
Computationally intensive Value at Risk calculations
... The lack of closed form formulas for most stable densities and distribution functions has negative consequences. Numerical approximation or direct nu- merical integration have to be used, leading to a drastic increase in ...
39
An Analysis of Low Complexity Algorithms for MIMO Antenna Selection
... Abstract— In this paper we consider transmit and receive selection methods designed to achieve high channel capacities in a single-user MIMO link. A variety of radio channels are considered, including i.i.d. Rayleigh, ...
6
Cloud-based Geophysical Inversion Modeling Using GNU Octave and MatlabMPI on Amazon EC2
... Cloud computing has opened up new avenues for scien- tists with limited resources to do complicated simulation which hitherto required expensive and computationally-intensive resources.[r] ...
13
Integrating Type-1 Fuzzy and Type-2 Fuzzy Clustering with K-Means for Pre-Processing Input Data in Classification Algorithms
... Abstract: In several papers, clustering has been used for preprocessing datasets before applying classification algorithms in order to enhance classification results. A strong clustered dataset as input to classification ...
7
Developing Quasi-Steady Model for Studying Hemostatic Response Using Supercomputer Technologies
... In this paper we describe a novel in silico model of thrombus formation and its implemen- tation, which allows studying thrombus dynamics on the physiologically relevant timescales of several minutes. Using this new ...
6
An Anti-jam Adaptive Algorithm for GPS
... In this paper, the traditional STAP algorithm is computationally intensive and cannot filter out the desired signal in phase with the interference signal problem, propose a new time-freq[r] ...
8
Automatic clustering of gene ontology by genetic algorithm
... When the hybrid genetic algorithm is employed to cluster the GO, it becomes computationally intensive. This is due to the fact that the GO graph have a large number of nodes and many [r] ...
10
Analysis of 3D Cone-Beam CT Image Reconstruction Performance on a FPGA
... an intensive topic of research due to the increasing everyday usage in areas such as radiology, biology, and materials ...is computationally intensive due to the O(n 4 ) backprojection step, running ...
75
RFM PSO RFM Score based PSO Task Scheduling in Cloud
... CPU intensive or data intensive. The response time of Computationally intensive jobs will be reduced if it is assigned to less loaded VMs and in case data not available in local storage, data ...
5
High Throughput, Privacy and Security for Handover in 5g Networks Using Software-Defined Networking
... The current breakthroughs in the base-band and radio frequency (RF) are required to allow computationally intensive and adjust to new air interfaces in 5G systems. A notable a[r] ...
7
REVIEW ON ENERGY EFFICIANT SYSYEM USING IMAGE PROCESSING.
... is computationally intensive and operates on a large data set, the cost of the wavelet image transform and the entropy coding is also considered in our ...
8
Novel implementation technique for a wavelet based broadband signal detection system
... Driven by tremendous technical development on computation capacity and speed, which allows computationally intensive techniques to be implemented, research on adaptive signal processing [r] ...
260
Reducing computational effort in field optimisation problems
... Abstract Design and optimisation of many practical electromechanical devices involve intensive ®eld simulation studies and repetitive usage of time-consuming software such as ®nite elements (FEs), ®nite ...
14
Computationally Complete Symbolic Attacker in Action
... hold computationally for PPT adversaries and for the computational implementations of cryptographic ...are computationally sound), successful computational attacks are impossible as long as the number of ...
27
Computationally Efficient Calculation of Aerodynamic Flows
... This computational cost can be reduced noting that: i minimizing 11 can be seen as solving n equations, ii the residual involves information from NE elementary cells, and iii the total n[r] ...
6
Computationally efficient changepoint detection for a range of penalties
... again with the estimated segmentation being the one that attains the minima. This second approach, of directly minimising (1.3) is computationally faster than solving the constrained penalisation problem for a ...
31
Computationally binding quantum commitments
... We study the definition and construction of computationally binding string commitment schemes in the quantum setting. A commitment scheme is a two-party protocol consisting of two phases, the commit and the open ...
60
A computationally efficient nonparametric approach for changepoint detection
... We show that the screening procedure adversely affects the accuracy of the changepoint detection method, and show how a faster dynamic programming algorithm, Pruned Exact Linear Time, PE[r] ...
32
Making "Fast" Atomic Operations Computationally Tractable
... In this paper we focus on the efficiency of read and write operations in an atomic read/write shared memory emulation in the message-passing environment. We examine the operation com- plexity of the best known atomic ...
16
Computationally Assisted Identification of Functional Inorganic Materials
... A The A- and B- site layered units used as the base structural modules throughout this work, B a graph showing the force-field energies of all calculated structures, C the three lowest e[r] ...
17