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- Volume 5, Issue 3, 2012
Recent Patents on Computer Science - Volume 5, Issue 3, 2012
Volume 5, Issue 3, 2012
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Computational Feature Performance and Domain Specific Architecture Evaluation of Software Applications Towards Metabolic Flux Analysis
Authors: Zeeshan Ahmed, Saman Majeed and Thomas DandekarNew experimental data on metabolites and enzymes induce high interest in metabolic modelling including metabolic flux calculations. Data analysis of metabolites, calculation of metabolic fluxes, pathways and their conditionspecific strengths is now possible by an advantageous combination of specific software. How can available software for metabolic modelling be improved from a computational point of view? A number of av Read More
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Blood Glucose Predictors: an Overview on How Recent Developments Help to Unlock the Problem of Glucose Regulation
Authors: Valeriya Naumova and Sergei V. PereverzyevIn the recent years, the global burden of diabetes has become apparent - more than 366 million people worldwide are affected by this disease. At the same time, it is well-known that the treatment of diabetes is one of the most difficult therapies to manage. Thus, the key problem of diabetes therapy management is to predict the future blood glucose level of a diabetic patient from available current and past information about Read More
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A Dual-based Combinatorial Algorithm for Solving Cyclic Optimization Problems
More LessThis paper describes Patent Number U.S. 8,046,316 B2, titled “Cyclic Combinatorial Method and System”, issued by the US Patents and Trademarks Office on October 25, 2011. The patent is based on a combinatorial algorithm to solve cyclic optimization problems. First, the algorithm identifies cyclically distinct solutions of such problems by enumerating cyclically distinct combinations of the basic dual variables. In combinatorial Read More
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Self-Organizing Multi-Agent Systems by means of Scout Movement
More LessSelf-organization of a collection of agents is a crucial concern in multi-agent systems that operate in open and dynamic environments. Most self-organizing mechanisms proposed in previous works tackle organization structure issues at design time. However, in open environments, agents must be able to adapt by achieving the most appropriate organization according to the environment conditions and their unpredictable Read More
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Hurst Exponent and its Applications in Time-series Analysis
By Marina RestaThe Hurst exponent is an index of fundamental importance in the analysis of the long range dependence features of observable time-series. As such, it has been estimated and analyzed in an astonishing number of physical systems. Over the time, various estimation methods as well as generalizations have been suggested and discussed: we therein judge straightforward to review the most important ones. In addition, w Read More
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Based on 9-gram Coding of Amino Acids Predicting Proteases Types by Using Support Vector Machine
Authors: Cunshuan Xu and Ruijia ShiProteases play vitally important regulatory roles in life cycle and represent main potential targets for medical intervention. Different types of proteases perform different functions with different biological processes. Therefore, it is highly desired to develop a fast and reliable approach of calculation for identifying the proteases types. From the protein sequence, 20 amino acids are reclassified into 9-gram encoding accordi Read More
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Reconfigurable Computing: A Review
Authors: Satyadhyan Chickerur, Srinidhi Hiriyannaiah, Dadi M.K. Rayudu and Aswatha Kumar MReconfigurable Computing systems are the systems that allow computations to be performed in hardware while retaining the flexibility of software. Reconfigurable Computing provides a great potential to accelerate applications such as image processing, sequence searching and matching, encryption, decryption, DNA sequence matching and other compute intensive applications. In this paper we provide an overview of reco Read More
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A Multi-layer KMC-RS-SVM Classifier and DGA for Fault Diagnosis of Power Transformer
Authors: Sheng-wei Fei and Yong HeSupport vector machine (SVM) which can solve the problem of ‘over-fitting’, local extremum has great application perspective in fault diagnosis of power transformer. However, classification ability of SVM is influenced by the training sample including excessive attribute. In order to solve this difficulty, a new fault diagnosis method for power transformer based on K-mean clustering algorithm (KMC), rough sets(RS) and support Read More
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