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Search Results: 1 - 10 of 50969 matches for " Lei Lin "
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Quality-Oriented Software Product Line Architecture Design  [PDF]
Lei Tan, Yuqing Lin, Huilin Ye
Journal of Software Engineering and Applications (JSEA) , 2012, DOI: 10.4236/jsea.2012.57054
Abstract: Software architecture design is a critical step of software development. Currently, there are various design methods available and each is focusing on certain perspective of architecture design. Especially, quality-based methods have received a lot of attentions and have been well developed for single system architecture design. However, the use of quality-based design methods is limited in software product line (SPL) because of the complexity and variabilities existing in SPL architecture. In this paper, we introduce an extra view to the Quality-Driven Architecture Design and quality Analysis (QADA) method, in order to provide a more effective quality-based architecture design framework for SPL. In this framework, the quality attributes of a software system will be taken into account in the early stage of architecture design and the reference architecture of SPL will be elicited based on quality-related consideration.
Design and Simulation of a Topology Aggregation Algorithm in Multi-Domain Optical Networks  [PDF]
Lei Wang, Li Lin, Li Du
Communications and Network (CN) , 2017, DOI: 10.4236/cn.2017.94017
Abstract:
The aggregate conversion from the complex physical network topology to the simple virtual topology reduces not only load overhead, but also the parameter distortion of links and nodes during the aggregation process, thereby increasing the accuracy of routing. To this end, focusing on topology aggregation of multi-domain optical networks, a new topology aggregation algorithm (ML-S) was proposed. ML-S upgrades linear segment fitting algorithms to multiline fitting algorithms on stair generation. It finds mutation points of stair to increase the number of fitting line segments and makes use of less redundancy, thus obtaining a significant improvement in the description of topology information. In addition, ML-S integrates stair fitting algorithm and effectively alleviates the contradiction between the complexity and accuracy of topology information. It dynamically chooses an algorithm that is more accurate and less redundant according to the specific topology information of each domain. The simulation results show that, under different topological conditions, ML-S maintains a low level of underestimation distortion, overestimation distortion, and redundancy, achieving an improved balance between aggregation degree and accuracy.
A new method of building permeability model in low-permeability reservoir numerical simulation  [PDF]
Yong-Chao Xue, Lin-Song Cheng, Lei Su
Natural Science (NS) , 2010, DOI: 10.4236/ns.2010.22020
Abstract: Aiming at solving the problem that big differ-ence exists between logging permeability and true permeability of micro-fractured low-permeability sand reservoir, this paper puts forward a new method to revise logging per-meability by using primiparity data of oil field. This method has been successfully applied to revise logging permeability of micro-fractured low-permeability sand reservoir in Baiyushan area of Jing’An oil field, which shows that the method is reliable because the geological model building through the permeability which has been handled by this method accords with the real reservoir significantly.
A novel voting system for the identification of eukaryotic genome promoters  [PDF]
Lin Lei, Kaiyan Feng, Zhisong He, Yudong Cai
Journal of Biomedical Science and Engineering (JBiSE) , 2010, DOI: 10.4236/jbise.2010.37096
Abstract: Motivation: Accurate identification and delineation of promoters/TSSs (transcription start sites) is important for improving genome annotation and devising experiments to study and understand transcriptional regulation. Many promoter identifiers are developed for promoter identification. However, each promoter identifier has its own focuses and limitations, and we introduce an integration scheme to combine some identifiers together to gain a better prediction performance. Result: In this contribution, 8 promoter identifiers (Proscan, TSSG, TSSW, FirstEF, eponine, ProSOM, EP3, FPROM) are chosen for the investigation of integration. A feature selection method, called mRMR (Minimum Redundancy Maximum Relevance), is novelly transferred to promoter identifier selection by choosing a group of robust and complementing promoter identifiers. For comparison, four integration methods (SMV, WMV, SMV_IS, WMV_IS), from simple to complex, are developed to process a training dataset with 1400 se- quences and a testing dataset with 378 sequences. As a result, 5 identifiers (FPROM, FirstEF, TSSG, epo- nine, TSSW) are chosen by mRMR, and the integration of them achieves 70.08% and 67.83% correct prediction rates for a training dataset and a testing dataset respectively, which is better than any single identifier in which the best single one only achieves 59.32% and 61.78% for the training dataset and testing dataset respectively.
Upgrading the Fermentation Process of Zhejiang Rosy Vinegar by Purebred Microorganisms  [PDF]
Yujian Jiang, Sen Lin, Lei Zhang, Ping Yu
Advances in Microbiology (AiM) , 2013, DOI: 10.4236/aim.2013.33042
Abstract:

Purebred microorganisms were employed to upgrade the fermentation process of Zhejiang rosy vinegar. The fermentation cycle was greatly shorten from 5 months to 72 d. The transformation rate of raw materials was increased from 1:4.5 in the traditional fermentation to 1:5 or more in the upgraded fermentation. The content of organic acids in the traditional vinegar (TRV), the upgraded vinegar (UPV) and the submerged fermentation vinegar (SFV) were also investigated by HPLC. No significant difference was found regarding the proportion of phenylethanol to the total volatile components in UPV (7.47% ± 0.00324%) and TRV (7.23% ± 0.00329%), but it was significantly higher than that in SFV (2.26% ± 0.00143%). This study provides deep insight into upgrading the fermentation process of Zhejiang rosy vinegar by purebred microorganisms.

Surfactant Surface Tension Effects on Promoting Hydrate Formation: An Experimental Study Using Fluorocarbon Surfactant (Intechem-01) + SDS Composite Surfactant  [PDF]
Lin Zhang, Shidong Zhou, Shuli Wang, Lei Wang, Jianmin Li
Journal of Environmental Protection (JEP) , 2013, DOI: 10.4236/jep.2013.45A005
Abstract:

The investigation of surface tension is a very important task for gas hydrate studying. Surfactants can effectively reduce the surface tension, improve the gas storage capability of hydrate and increase the formation rate, shorten the induction time. The objective of this study were to obtain a better understanding of the role of surface tension on hydrate formation and build gas hydrate models involve surfactant. In this study it was highlighted that the surface tension of Intechem-01 + SDS composite surfactants in natural gas hydrate promotion system and the change rules at different temperatures, concentration and proportion. According to the results of experiment, the surface tension of composite surfactants decreased with the increase of Intechem-01. The best cooperating effect was observed in proportion (Intechem-01 content) of 0.6 - 0.7, where the surface tension was the lowest. In this proportion range, the composite surfactants showed the same effect to pure fluorine carbon surfactant. The study shown the surface tension of composite surfactants decreased with the rise of temperature, and they were in a linear relationship within a certain range. Surface tension of composite surfactants decreased with the increase of surfactant concentration, however, it was no longer decreased above critical micelle concentration (CMC). The fitting equation of surface tension with various factors has been obtained.

Response of Nutrients in Apple Leaves to Regulation of Water and Fertilizers in Loess Hilly Area  [PDF]
Lei Hua, Jianen Gao, Meifang Zhou, Zhe Gao, Tingwu Lin
Open Journal of Soil Science (OJSS) , 2018, DOI: 10.4236/ojss.2018.84010
Abstract: Aiming at the problem of the low utilization ratio of water resource and fertilizers in apple orchard in loess hilly area, which is the result of both water shortage and improper fertilization, a field experiment of the regulation of water and fertilizers is carried out in a typical apple orchard in this area to make analysis of nutrients in apple leaves under different treatments of water and fertilizers. The results show that: in the experimental area: 1) the total nitrogen content in apple leaves maintains at a low level of 1.87% - 3.17%; the total phosphorus content in apple leaves maintains at a low or normal level of 0.13% - 0.16%; and the total potassium content in apple leaves maintains at a deficient level of 0.46% - 0.64%; 2) the regulation of water and fertilizers has some effect on promoting the trees to adsorb both the total nitrogen and the total potassium, but it has no apparent effect on promoting the leaves to adsorb the total phosphorus. In the management of water and fertilizers in this apple orchard, the effects of the water and the fertilizers should be properly regulated to make full use of the limited water resource and improve the utilization ratio of the fertilizers as well, so as to achieve the three goals of saving water, saving fertilizers and improving quality.
Design of a Heuristic Topology Generation Algorithm in Multi-Domain Optical Networks  [PDF]
Lei Wang, Huayang Feng, Li Lin, Li Du
Communications and Network (CN) , 2018, DOI: 10.4236/cn.2018.103006
Abstract: Designing an excellent original topology not only improves the accuracy of routing, but also improves the restoring rate of failure. In this paper, we propose a new heuristic topology generation algorithm—GA-PODCC (Genetic Algorithm based on the Pareoto Optimality of Delay, Configuration and Consumption), which utilizes a genetic algorithm to optimize the link delay and resource configuration/consumption. The novelty lies in designing the two stages of genetic operation: The first stage is to pick the best population by means of the crossover, mutation, and selection operation; The second stage is to select an excellent individual from the best population. The simulation results show that, using the same number of nodes, GA-PODCC algorithm improves the balance of all the three optimization objectives, maintaining a low level of distortion in topology aggregation.
Distributed Cryptographic Computing on Grid
Zhonghua Jiang,Dongdai Lin,Lin Xu,Lei lin
International Journal of Network Security , 2007,
Abstract: Distributed cryptographic computing system plays an important role in cryptographic research since cryptographic computing is extremely computation sensitive. There are many research results done in this aspect, but no general cryptographic computing environment is available for cryptographic researchers and engineers. Grid technology can give an efficient computational support for cryptographic applications. Therefor, we put forward a general grid-based computing environment called DisCrypto for distributed cryptographic computing. In this paper, we simply describe the architecture of DisCrypto at first. The policy of task division adapted in DisCrypto is then analyzed. The method to manage subtask is further discussed in detail. Furthermore, the building and execution process of an execution plan is revealed. Finally, the details of DisCrypto implementation under Globus Toolkit 4 are illustrated.
Novel knowledge-based mean force potential at the profile level
Qiwen Dong, Xiaolong Wang, Lei Lin
BMC Bioinformatics , 2006, DOI: 10.1186/1471-2105-7-324
Abstract: The frequency profiles are directly calculated from the multiple sequence alignments outputted by PSI-BLAST and converted into binary profiles with a probability threshold. As a result, the protein sequences are represented as sequences of binary profiles rather than sequences of amino acids. Similar to the knowledge-based potentials at the residue level, a class of novel potentials at the profile level is introduced. We develop four types of profile-level statistical potentials including distance-dependent, contact, Φ/Ψ dihedral angle and accessible surface statistical potentials. These potentials are first evaluated by the fold assessment between the correct and incorrect models generated by comparative modeling from our own and other groups. They are then used to recognize the native structures from well-constructed decoy sets. Experimental results show that all the knowledge-base mean force potentials at the profile level outperform those at the residue level. Significant improvements are obtained for the distance-dependent and accessible surface potentials (5–6%). The contact and Φ/Ψ dihedral angle potential only get a slight improvement (1–2%). Decoy set evaluation results show that the distance-dependent profile-level potentials even outperform other atom-level potentials. We also demonstrate that profile-level statistical potentials can improve the performance of threading.The knowledge-base mean force potentials at the profile level can provide better discriminatory ability than those at the residue level, so they will be useful for protein structure prediction and model refinement.The development and evaluation of new energy functions is critical to the accurate modeling of the properties of biological macromolecules [1]. A potential that can discriminate between the native and miss-folded structures is crucial for any protein structure prediction protocol to be fully successful. Toward this end, two different types of potential functions are currently in
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