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Articles 1 - 9 of 9
Full-Text Articles in Social and Behavioral Sciences
Numerical Characterization Of Protein Sequences Based On The Generalized Chou's Pseudo Amino Acid Composition, Chun Li, Xueqin Li, Yan-Xia Lin
Numerical Characterization Of Protein Sequences Based On The Generalized Chou's Pseudo Amino Acid Composition, Chun Li, Xueqin Li, Yan-Xia Lin
Faculty of Engineering and Information Sciences - Papers: Part A
The technique of comparison and analysis of biological sequences is playing an increasingly important role in the field of Computational Biology and Bioinformatics. One of the key steps in developing the technique is to identify an appropriate manner to represent a biological sequence. In this paper, on the basis of three physical-chemical properties of amino acids, a protein primary sequence is reduced into a six-letter sequence, and then a set of elements which reflect the global and local sequence-order information is extracted. Combining these elements with the frequencies of 20 native amino acids, a (21+λ) dimensional vector is constructed to …
An Improved Genetic Algorithm For Cost-Effective Data-Intensive Service Composition, Lijuan Wang, Jun Shen, Junzhou Luo, Fang Dong
An Improved Genetic Algorithm For Cost-Effective Data-Intensive Service Composition, Lijuan Wang, Jun Shen, Junzhou Luo, Fang Dong
Faculty of Engineering and Information Sciences - Papers: Part A
The explosion of digital data and the dependence on data-intensive services have been recognized as the most significant characteristics of IT trends in the current decade. Designing workflow of data-intensive services requires data analysis from multiple sources to get required composite services. Composing such services requires effective transfer of large data. Thus many new challenges are posed to control the cost and revenue of the whole composition. This paper addresses the data-intensive service composition and presents an innovative data-intensive service selection algorithm based on a modified genetic algorithm. The performance of this new algorithm is also tested by simulations and …
Effect Of Microstructure And Composition On Hydrogen Permeation In X70 Pipeline Steels, Ayesha J. Haq, K Muzaka, D P. Dunne, A Calka, E V. Pereloma
Effect Of Microstructure And Composition On Hydrogen Permeation In X70 Pipeline Steels, Ayesha J. Haq, K Muzaka, D P. Dunne, A Calka, E V. Pereloma
Faculty of Engineering and Information Sciences - Papers: Part A
The influence of microstructure and composition on permeation of hydrogen in 1.2 and 0.5 wt.% Mn X70 pipeline steels after different processing was investigated using an electrochemical permeation technique. For 1.2 wt.% Mn (standard Mn) steel, the microstructure of normalised transfer bar was coarse equiaxed ferrite grains. This sample exhibited the highest diffusivity, followed by transfer bar, with a mixed ferriteebainitic ferrite microstructure; and hot rolled strip, with fine elongated ferrite grains. The 0.5 wt.% Mn (medium Mn) strip displayed lower diffusivity than the 1.2 wt.% Mn strip, due to hydrogen trapping by finer ferrite grains and a higher density …
The Effect Of Chemical Composition On Microstructure And Properties Of Intercritically Reheated Coarse-Grained Heat-Affected Zone In X70 Steels, Zhixiong Zhu, Lenka Kuzmikova, Huijun Li, Frank J. Barbaro
The Effect Of Chemical Composition On Microstructure And Properties Of Intercritically Reheated Coarse-Grained Heat-Affected Zone In X70 Steels, Zhixiong Zhu, Lenka Kuzmikova, Huijun Li, Frank J. Barbaro
Faculty of Engineering and Information Sciences - Papers: Part A
The current study investigates the effect of different levels of Ti, N, and Ti/N ratios on microstructure and properties in the intercritically reheated coarse-grained heat-affected zone (ICCGHAZ) of two-pass submerged arc welds in API 5L grade X70 pipe. Gleeble simulation was employed to reproduce the ICCGHAZ of actual welds. Hardness and Charpy V-notch (CVN) tests were performed on the simulated samples. The microstructure of simulated ICCGHAZ was characterized by optical microscopy and scanning electron microscopy (SEM). LePera color etching technique was employed to identify and quantify the martensitic-austenitic (M-A) constituent. Results show that the simulated ICCGHAZ exhibited extremely low toughness, …
Towards Optimal Service Composition Upon Qos In Agent Cooperation, Chattrakul Sombattheera, Jun Shen
Towards Optimal Service Composition Upon Qos In Agent Cooperation, Chattrakul Sombattheera, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part A
It is quite common in tourism industry that a tourist would love to gain the most wonderful experience from visiting multiple places in one trip. This is a service composition problem and is difficult to manage because of several reasons. We address this problem by proposing an agent-based service composition framework to allocate to the tourist an optimal composite service. We take into account a number of factors including: 1) all the places of interest must be visited; 2) the preference on visiting places must be obeyed; 3) the total price is within the budget; 4) the time constraint must …
Inclusion Reactivity: Morphology And Composition Changes Of Spinel (Mgal2o4) In Steel, Neslihan Dogan, Raymond Longbottom, Mark Henry Reid, Michael W. Chapman, Paton Wilson, Les Moore, Brian Monaghan
Inclusion Reactivity: Morphology And Composition Changes Of Spinel (Mgal2o4) In Steel, Neslihan Dogan, Raymond Longbottom, Mark Henry Reid, Michael W. Chapman, Paton Wilson, Les Moore, Brian Monaghan
Faculty of Engineering and Information Sciences - Papers: Part A
Due to an ever increasing demand for cleaner, high quality steels, there is an increasing push for steelmakers to lower the non-metallic inclusion contents of the steel they produce. Understanding inclusion reactivity in steel is key in producing high quality steels at high production rates. Our current knowledge in controlling and predicting inclusion development during liquid steel processing is limited. In this study, spinel (MgAI204) inclusions of close to stoichiometric MgO.AI2O3 and known size distribution where added to the liquid steel bath prior to assessing their reactivity. The pO2 of the gas phase was controlled to 10-13 atm throughout the …
An Mas-Based Implementation For Semantic Web Services Composition, Jun Shen, Ghassan Beydoun, Graham Low
An Mas-Based Implementation For Semantic Web Services Composition, Jun Shen, Ghassan Beydoun, Graham Low
Faculty of Engineering and Information Sciences - Papers: Part A
Many information system developers face high cost in adopting service-oriented architectures because of the high cost of locating appropriate services to customise and integrate into their system. This chapter aims at reducing this cost by automating much of the composition and service selection effort. It illustrates the use of a peer-to-peer multi-agent system (MAS) to facilitate service selection with multiple quality of service properties. The system will use semantic enrichment of services in order to facilitate their identification and composition. With semantic-driven composition, services can be shared between teams of developers and across multiple organisations connected via the Internet. In …
Adjusting For Network Size And Composition Effects In Exponential Family Random Graph Models, Pavel N. Krivitsky, M Handcock, Martina Morris
Adjusting For Network Size And Composition Effects In Exponential Family Random Graph Models, Pavel N. Krivitsky, M Handcock, Martina Morris
Faculty of Engineering and Information Sciences - Papers: Part A
Exponential-family random graph models (ERGMs) provide a principled way to model and simulate features common in human social networks, such as propensities for homophily and friend-ofa- friend triad closure. We show that, without adjustment, ERGMs preserve density as network size increases. Density invariance is often not appropriate for social networks. We suggest a simple modification based on an offset which instead preserves the mean degree and accommodates changes in network composition asymptotically. We demonstrate that this approach allows ERGMs to be applied to the important situation of egocentrically sampled data. We analyze data from the National Health and Social Life …
Wiener Model Identification And Predictive Control For Dual Composition Control Of A Distillation Column, H H J Bloemen, C T. Chou, T J J Van Den Boom, V Verdult, M Verhaegen, T C. Backx
Wiener Model Identification And Predictive Control For Dual Composition Control Of A Distillation Column, H H J Bloemen, C T. Chou, T J J Van Den Boom, V Verdult, M Verhaegen, T C. Backx
Faculty of Engineering and Information Sciences - Papers: Part A
The benefits of using the Wiener model based identification and control methodology presented in this paper, compared to linear techniques, are demonstrated for dual composition control of a moderate-high purity distillation column simulation model. An identification experiment design is presented which enables one to identify both the low and high gain directions of the distillation column, properties which are important for control and hard to identify in a conventional identification experiment setup as is demonstrated in the paper. Data from the proposed experiment design is used for indirect closed-loop identification of both a linear and a Wiener model, which shows …