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Complex networks exist widely in nature and human society, from the Internet to chemical reactions, biological food chain, and then to human society, interpersonal relationships, cooperation between people, science and technology citation and so show a complex network topology characteristics. Network pharmacology is based on the theory of system biology, network analysis of biological systems, select...
As more and more cloud services are provided on the web, composite services will increase exponentially. How to select the optimal services for a given composite service is a important problem and is NP-Hard. This paper proposes a multi-objective service selection algorithm based on MOACS(Multi-Objective Ant Colony System) optimization algorithm for this problem. In this problem, two objectives are...
Drug efficacy and toxicity issues make drug development often fail in clinical phase, resulting in huge losses. As a source of drug development, drug target discovery and identification of the success rate of drug development has a decisive role. With the growing wealth of bioinformatics techniques, and proteomics data, the rapid growth of chemical genomics data, calculation method and the traditional...
The multi-objective service selection problem is a basic problem in Service Computing and is NP-Hard. This paper proposes a novel Bi-Ant colony optimization multi-objective service selection algorithm for this problem. Two objective functions related with response time and cost attributes are considered. For each objective, a heuristic function and a pheromone updating policy are defined against the...
In this paper, by studying the current situation of university students' comprehensive quality evaluation, we proposed a scientific and reasonable scientific student quality evaluation index system. In addition to the students' knowledge and ability level, the system also takes into account the students' psychological factors. Based on the proposed evaluation index system, we found the comprehensive...
Data sets in metabonomics or metabolic profiling experiments are becoming increasingly complex, which is hard to analyze without appropriate methods. The use of chemometric tools, such as orthogonal signal correction (OSC), principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), (orthogonal partial least squares discriminant analysis (OPLS-DA) make the data dimension...
Data sets in metabonomics or metabolic profiling experiments are always multidimensional, which brings some difficulties to metabonomics reaearchers. Generally, chemometric tools, such as orthogonal signal correction (OSC), principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), (orthogonal partial least squares discriminant analysis (OPLS-DA) are introduced to the...
Distributed antenna system (DAS) can improve the spectral efficiency of cellular systems, especially at the cell edge. In this paper we consider a cognitive radio technique to further improve the cell edge performance of DAS. We consider the following scenario: A secondary user (SU) shares the same band with a primary user (PU) at the cell edge of a DAS, and the SU relays the signal for the PU. The...
Diesel engines are the most commonly used in public transportations and power plant of freight in the world due to its excellent fuel economy benefit. However emission regulations have become more stringent as a result of increased environmental awareness in each region of the world. In order to meet the Euro IV heavy-duty diesel emission standard legislation limits, a diesel engine can be optimized...
Studies on a heat pipe radiator which used in the desktop PC are carried out experimentally and numerically. Simulated results show that heat pipe radiators possess much better temperature distribution uniformity performance than ordinary finned radiators. Influences of CPU power, heat pipe diameter and heat pipe numbers on heat transfer performances of heat pipe radiator also get detailed investigation...
Distributed antenna system (DAS) can improve the spectral efficiency of the cellular system, especially at the cell edge. In the paper, we consider the cognitive radio technique to further improve the cell edge performance of the DAS. We consider the following scenario: multiple secondary users (SUs) share the same spectrum with the primary user (PU) at the cell edge, and one or two SUs are selected...
Data sets resulting from metabonomics or metabolic profiling experiments are becoming increasingly complex, which is hard to summarize and visualize without appropriate tools. The use of chemometric tools, such as orthogonal signal correction (OSC), principal component analysis (PCA), partial least squares to latent structure discriminant analysis (PLS-DA), make the data dimensionality reduction and...
Data sets resulting from metabonomics or metabolic profiling experiments are becoming increasingly complex, which is hard to summarize and virsualize without appropriate tools. The use of chemometric tools, such as OSC, PCA, PLS-DA, OPLS-DA make the data dimension and interpretation much easier. Here we showed a system method based on PCA, OSC-PLS-DA for metabonomic data analysis; Furthermore, S-plot,...
Abstract-Acidibility and acidifying degree were important indicators for acidification process in anaerobic digestion. Four factors affecting acidibility and acidifying degree termed temperature, sludge inoculum, mixing speed and substrate concentration were investigated on the basis of an orthogonal test. The order of the four factors affecting the acidification process was temperature > sludge...
Fishmeal wastewater (FWW) and starch wastewater (SWW), without additional nutrients, were investigated for the direct lactic acid production using 2 strains of Rhizopus genus. R.oryaze AS 3.254 could use FWW and SWW simultaneously for lactic acid production and fungal growth while R.oryaze 3.41 only utilized this complex for fungal growth. For R.oryaze AS 3.254, the optimal C/N for lactic acid...
This paper presents our research in incremental learning for text document classification. Incremental learning is important in text document classification since many applications have huge amount of training data, and training documents become available through time. We propose an incremental learning framework, ILTC(Incremental Learning of Text Classification) that involves the learning of features...
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